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<Node id="2"/>9407011<Node id="9"/>
<Node id="10"/>ACL<Node id="13"/> <Node id="14"/>1994<Node id="18"/>
<Node id="19"/> Lg.Pr.Dc <Node id="29"/>
<Node id="30"/>
<Node id="31"/> Discourse Obligations in Dialogue Processing <Node id="77"/>
<Node id="78"/>
<Node id="79"/>David A. Traum<Node id="93"/>
<Node id="94"/>James F. Allen<Node id="108"/>
<Node id="109"/>
<Node id="110"/> <Node id="111"/>We show that in modeling social interaction , particularly dialogue , the attitude of obligation can be a useful adjunct to the popularly considered attitudes of belief , goal , and intention and their mutual and shared counterparts .<Node id="345"/> <Node id="346"/>
<Node id="347"/> <Node id="348"/>In particular , we show how discourse obligations can be used to account in a natural manner for the connection between a question and its answer in dialogue and how obligations can be used along with other parts of the discourse context to extend the coverage of a dialogue system .<Node id="631"/> <Node id="632"/>

<Node id="634"/> Motivation <Node id="646"/>
<Node id="647"/> Most computational models of discourse are based primarily on an analysis of the intentions of the speakers  <Node id="757"/>Cohen and Perrault 1979<Node id="780"/> , <Node id="783"/>Allen and Perrault 1980<Node id="806"/> , <Node id="809"/>Grosz and Sidner 1986<Node id="830"/> . <Node id="833"/>
<Node id="834"/> An agent has certain goals , and communication results from a planning process to achieve these goals . <Node id="939"/>
<Node id="940"/> The speaker will form intentions based on the goals and then act on these intentions , producing utterances . <Node id="1051"/>
<Node id="1052"/> The hearer will then reconstruct a model of the speaker 's intentions upon hearing the utterance . <Node id="1152"/>
<Node id="1153"/> This approach has many strong points , but does not provide a very satisfactory account of the adherence to discourse conventions in dialogue . <Node id="1298"/>
<Node id="1299"/> For instance , consider one simple phenomena : a question is typically followed by an answer , or some explicit statement of an inability or refusal to answer . <Node id="1461"/>
<Node id="1462"/> The intentional story account of this goes as follows . <Node id="1519"/>
<Node id="1520"/> From the production of a question by Agent B , Agent A recognizes Agent B 's goal to find out the answer , and she adopts a goal to tell B the answer in order to be co-operative . <Node id="1701"/>
<Node id="1702"/> A then plans to achieve the goal , thereby generating the answer . <Node id="1770"/>
<Node id="1771"/> This provides an elegant account in the simple case , but requires a strong assumption of co-operativeness . <Node id="1881"/>
<Node id="1882"/> Agent A must adopt agent B 's goals as her own . <Node id="1932"/>
<Node id="1933"/> As a result , it does not explain why A says anything when she does not know the answer or when she is not predisposed to adopting B 's goals . <Node id="2078"/>
<Node id="2079"/> Several approaches have been suggested to account for this behavior . <Node id="2150"/>
<Node id="2151"/> <Node id="2152"/>Litman and Allen 1987<Node id="2173"/> introduced an intentional analysis at the discourse level in addition to the domain level , and assumed a set of conventional multi-agent actions at the discourse level . <Node id="2345"/>
<Node id="2346"/> Others have tried to account for this kind of behavior using social intentional constructs such as Joint intentions <Node id="2463"/>Cohen and Levesque 1991<Node id="2486"/> or Shared Plans <Node id="2503"/>Grosz and Sidner 1990<Node id="2524"/> . <Node id="2527"/>
<Node id="2528"/> While these accounts do help explain some discourse phenomena more satisfactorily , they still require a strong degree of co-operativity to account for dialogue coherence , and do not provide easy explanations of why an agent might act in cases that do not support high-level mutual goals . <Node id="2820"/>
<Node id="2821"/> Consider a stranger approaching an agent and asking , `` Do you have the time ? '' It is unlikely that there is a joint intention or shared plan , as they have never met before . <Node id="3001"/>
<Node id="3002"/> From a purely strategic point of view , the agent may have no interest in whether the stranger 's goals are met . <Node id="3117"/>
<Node id="3118"/> Yet , typically agents will still respond in such situations . <Node id="3182"/>
<Node id="3183"/> As another example , consider a case in which the agent 's goals are such that it prefers that an interrogating agent not find out the requested information . <Node id="3343"/>
<Node id="3344"/> This might block the formation of an intention to inform , but what is it that inspires the agent to respond at all . <Node id="3463"/>
<Node id="3464"/> As these examples illustrate , an account of question answering must go beyond recognition of speaker intentions . <Node id="3580"/>
<Node id="3581"/> Questions do more than just provide evidence of a speaker 's goals , and something more than adoption of the goals of an interlocutor is involved in formulating a response to a question . <Node id="3770"/>
<Node id="3771"/> Some researchers , e.g. , <Node id="3798"/>Mann 1988<Node id="3807"/> , <Node id="3810"/>Kowtko et al. 1991<Node id="3828"/> , assume a library of discourse level actions , sometimes called dialogue games , which encode common communicative interactions . <Node id="3960"/>
<Node id="3961"/> To be co-operative , an agent must always be participating in one of these games . <Node id="4045"/>
<Node id="4046"/> So if a question is asked , only a fixed number of activities , namely those introduced by a question , are co-operative responses . <Node id="4180"/>
<Node id="4181"/> Games provide a better explanation of coherence , but still require the agents to recognize each other 's intentions to perform the dialogue game . <Node id="4330"/>
<Node id="4331"/> As a result , this work can be viewed as a special case of the intentional view . <Node id="4414"/>
<Node id="4415"/> An interesting model is described by <Node id="4453"/>Airenti et al. 1993<Node id="4472"/> , which separates out the conversational games from the task-related games in a way similar way to <Node id="4572"/>Litman and Allen 1987<Node id="4593"/> . <Node id="4596"/>
<Node id="4597"/> Because of this separation , they do not have to assume co-operation on the tasks each agent is performing , but still require recognition of intention and co-operation at the conversational level . <Node id="4797"/>
<Node id="4798"/> It is left unexplained what goals motivate conversational co-operation . <Node id="4872"/>
<Node id="4873"/> The problem with systems which impose co-operativity in the form of automatic goal adoption is that this makes it impossible to reason about cases in which one might want to violate these rules , especially in cases where the conversational co-operation might conflict with the agent 's personal goals . <Node id="5178"/>
<Node id="5179"/> We are developing an alternate approach that takes a step back from the strong plan-based approach . <Node id="5281"/>
<Node id="5282"/> By the strong plan-based account , we mean models where there is a set of personal goals which directly motivates all the behavior of the agent . <Node id="5429"/>
<Node id="5430"/> While many of the intuitions underlying these approaches seems close to right , we claim it is a mistake to attempt to analyze this behavior as arising entirely from the agent 's high-level goals . <Node id="5629"/>
<Node id="5630"/> We believe that people have a much more complex set of motivations for action . <Node id="5711"/>
<Node id="5712"/> In particular , much of one 's behavior arises from a sense of obligation to behave within limits set by the society that the agent is part of . <Node id="5858"/>
<Node id="5859"/> A model based on obligations differs from an intention-based approach in that obligations are independent of shared plans and intention recognition . <Node id="6010"/>
<Node id="6011"/> Rather , obligations are the result of rules by which an agent lives . <Node id="6083"/>
<Node id="6084"/> Social interactions are enabled by their being a sufficient compatibility between the rules affecting the interacting agents . <Node id="6212"/>
<Node id="6213"/> One responds to a question because this is a social behavior that is strongly encouraged as one grows up , and becomes instilled in the agent . <Node id="6358"/>
<Node id="6359"/> Sketch of Solution <Node id="6379"/>
<Node id="6380"/> The model we propose is that an agent 's behavior is determined by a number of factors , including that agent 's current goals in the domain , and a set of obligations that are induced by a set of social conventions . <Node id="6599"/>
<Node id="6600"/> When planning , an agent considers both its goals and obligations in order to determine an action that addresses both to the extent possible . <Node id="6744"/>
<Node id="6745"/> When prior intentions and obligations conflict , an agent generally will delay pursuit of its intentions in order to satisfy the obligations , although the agent may behave otherwise at the cost of violating its obligations . <Node id="6972"/>
<Node id="6973"/> At any given time , an agent may have many obligations and many different goals , and planning involves a complex tradeoff between these different factors . <Node id="7131"/>
<Node id="7132"/> Returning to the example about questions , when an agent is asked a question , this creates an obligation to respond . <Node id="7252"/>
<Node id="7253"/> The agent does not have to adopt the goal of answering the question as one of her personal goals in order to explain the behavior . <Node id="7386"/>
<Node id="7387"/> Rather it is a constraint on the actions that the agent may plan to do . <Node id="7461"/>
<Node id="7462"/> In fact , the agent might have an explicit goal not to answer the question , yet still is obliged to offer a response ( e.g. , consider most politicians at press conferences ) . <Node id="7641"/>
<Node id="7642"/> The planning task then is to satisfy the obligation of responding to the question , without revealing the answer if at all possible . <Node id="7777"/>
<Node id="7778"/> In cases where the agent does not know the answer , the obligation to respond may be discharged by some explicit statement of her inability to give the answer . <Node id="7940"/>
<Node id="7941"/> Obligations and Discourse Obligations <Node id="7980"/>
<Node id="7981"/> Obligations represent what an agent should do , according to some set of norms . <Node id="8063"/>
<Node id="8064"/> The notion of obligation has been studied for many centuries , and its formal aspects are examined using Deontic Logic . <Node id="8186"/>
<Node id="8187"/> Our needs are fairly simple , and do not require an extensive survey of the complexities that arise in that literature . <Node id="8309"/>
<Node id="8310"/> Still , the intuitions underlying that work will help to clarify what an obligation is . <Node id="8400"/>
<Node id="8401"/> Generally , obligation is defined in terms of a modal operator often called permissible . <Node id="8492"/>
<Node id="8493"/> An action is obligatory if it is not permissible not to do it . <Node id="8558"/>
<Node id="8559"/> An action is forbidden if it is not permissible . <Node id="8610"/>
<Node id="8611"/> An informal semantics of the operator can be given by positing a set of rules of behavior R .<Node id="8705"/>
<Node id="8706"/>  An action is obligatory if its occurrence logically follows from R , and forbidden if its non-occurrence logically follows from R . <Node id="8840"/>
<Node id="8841"/> An action that might occur or not-occur according to R is neither obligatory nor forbidden . <Node id="8935"/>
<Node id="8936"/> Just because an action is obligatory with respect to a set of rules R does not mean that the agent will perform the action . <Node id="9062"/>
<Node id="9063"/> So we do not adopt the model suggested by <Node id="9106"/>Shoham and Tennenholtz 1992<Node id="9133"/> in which agents ' behavior cannot violate the defined social laws . <Node id="9202"/>
<Node id="9203"/> If an obligation is not satisfied , then this means that one of the rules must have been broken . <Node id="9302"/>
<Node id="9303"/> We assume that agents generally plan their actions to violate as few rules as possible , and so obligated actions will usually occur . <Node id="9439"/>
<Node id="9440"/> But when they directly conflict with the agent 's personal goals , the agent may choose to violate them . <Node id="9547"/>
<Node id="9548"/> Obligations are quite different from and can not be reduced to intentions and goals . <Node id="9635"/>
<Node id="9636"/> In particular , an agent may be obliged to do an action that is contrary to his goals ( for example , consider a child who has to apologize for hitting her younger brother ) . <Node id="9813"/>
<Node id="9814"/> Obligations also cannot be reduced to simple expectations , although obligations may act as a source of expectations . <Node id="9934"/>
<Node id="9935"/> Expectations can be used to guide the action interpretation and plan-recognition processes ( as proposed by <Node id="10044"/>Carberry 1990<Node id="10057"/> ) , but expectations do not in and of themselves provide a sufficient motivation for an agent to perform the expected action - in many cases there is nothing wrong with doing the unexpected or not performing an expected action . <Node id="10287"/>
<Node id="10288"/> The interpretation of an utterance will often be clear even without coherence with prior expectations . <Node id="10393"/>
<Node id="10394"/> We need to allow for the possibility that an agent has performed an action even when this violates expectations . <Node id="10509"/>
<Node id="10510"/> If an agent actually violates obligations as well then the agent can be held accountable . <Node id="10602"/>
<Node id="10603"/> Specific obligations arise from a variety of sources . <Node id="10659"/>
<Node id="10660"/> In a conversational setting , an accepted offer or a promise will incur an obligation . <Node id="10749"/>
<Node id="10750"/> Also , a command or request by the other party will bring about an obligation to perform the requested action . <Node id="10863"/>
<Node id="10864"/> If the obligation is to say something then we call this a discourse obligation . <Node id="10946"/>
<Node id="10947"/> Our model of obligation is very simple . <Node id="10989"/>
<Node id="10990"/> We use a set of rules that encode discourse conventions . <Node id="11049"/>
<Node id="11050"/> Whenever a new conversation act is determined to have been performed , then any future action that can be inferred from the conventional rules becomes an obligation . <Node id="11218"/>
<Node id="11219"/> We use a simple forward chaining technique to introduce obligations . <Node id="11290"/>
<Node id="11291"/> Some obligation rules based on the performance of conversation acts are summarized in Table <Node id="11384"/> . <Node id="11387"/>
<Node id="11388"/> When an agent performs a promise to perform an action , or performs an acceptance of a suggestion or request by another agent to perform an action , the agent obliges itself to achieve the action in question . <Node id="11599"/>
<Node id="11600"/> When another agent requests that some action be performed , the request itself brings an obligation to address the request : that is , either to accept it or to reject it ( and make the decision known to the requester ) - the requestee is not permitted to ignore the request . <Node id="11878"/>
<Node id="11879"/> A question establishes an obligation to answer the question . <Node id="11942"/>
<Node id="11943"/> If an utterance has not been understood , or is believed to be deficient in some way , this brings about an obligation to repair the utterance . <Node id="12089"/>
<Node id="12090"/> Obligations and Behavior <Node id="12116"/>
<Node id="12117"/> Obligations ( or at least beliefs that the agent has obligations ) will thus form an important part of the reasoning process of a deliberative agent , e.g. , the architecture proposed by <Node id="12305"/>Bratman et al. 1988<Node id="12324"/> . <Node id="12327"/>
<Node id="12328"/> In addition to considering beliefs about the world , which will govern the possibility of performing actions and likelyhood of success , and desires or goals which will govern the utility or desirability of actions , a social agent will also have to consider obligations , which govern the permissibility of actions . <Node id="12647"/>
<Node id="12648"/> There are a large number of strategies which may be used to incorporate obligations into the deliberative process , based on how much weight they are given compared to the agents goals . <Node id="12836"/>
<Node id="12837"/> <Node id="12838"/>Conte and Castelfranchi 1993<Node id="12866"/> present several strategies of moving from obligations to actions , including : automatically performing an obligated action , adopting all obligations as goals , or adopting an obligated action as a goal only when performing the action results in a state desired by the agent . <Node id="13145"/>
<Node id="13146"/> In the latter cases , these goals still might conflict with other goals of the agent , and so are not guaranteed to be performed . <Node id="13278"/>
<Node id="13279"/> In general , we will want to allow action based on obligations to supersede performance of intended actions . <Node id="13390"/>
<Node id="13391"/> For instance , consider an agent with an intention to do something as soon as possible . <Node id="13481"/>
<Node id="13482"/> If an obligation is imposed , it will still be possible to perform the intended action , but a well-behaved agent might need to delay performance until the obligation is dealt with . <Node id="13666"/>
<Node id="13667"/> For example , if the intention is to perform a series of inform acts , and then a listener requests repair of one , a well-behaved agent will repair that inform before proceeding to initiate the next intended one . <Node id="13883"/>
<Node id="13884"/> Using Discourse Obligations in a Dialogue System <Node id="13934"/>
<Node id="13935"/> We have built a system that explicitly uses discourse obligations and communicative intentions to partake in natural dialogue . <Node id="14064"/>
<Node id="14065"/> This system plays the role of the dialogue manager in the TRAINS dialogue system , which acts as an intelligent planning assistant in a transportation domain . <Node id="14226"/>
<Node id="14227"/> While this is a domain where the assumption of co-operation is generally valid , the obligation model still provides for a much simpler analysis of the discourse behavior than a strongly plan-based account . <Node id="14436"/>
<Node id="14437"/> An example of a dialogue that the TRAINS system can engage in is shown in Figure <Node id="14519"/> . <Node id="14522"/>
<Node id="14523"/> Below we describe parts of the discourse model in more detail and then show how it is used to account for aspects of this dialogue . <Node id="14657"/>
<Node id="14658"/> The TRAINS System <Node id="14677"/>Allen and Schubert 1991<Node id="14700"/> is a large integrated natural language conversation and plan reasoning system . <Node id="14781"/>
<Node id="14782"/> We concentrate here , however , on just one part of that system , the discourse actor which drives the actions of the dialogue manager module . <Node id="14927"/>
<Node id="14928"/> Figure <Node id="14936"/> illustrates the system from the viewpoint of the dialogue manager . <Node id="15005"/>
<Node id="15006"/> The dialogue manager is responsible for maintaining the flow of conversation and making sure that the conversational goals are met . <Node id="15140"/>
<Node id="15141"/> For this system , the main goals are that an executable plan which meets the user 's goals is constructed and agreed upon by both the system and the user and then that the plan is executed . <Node id="15333"/>
<Node id="15334"/> The dialogue manager must keep track of the current state of the dialogue , determine the effects of observed conversation acts , generate utterances back , and send commands to the domain plan reasoner and domain plan executor when appropriate . <Node id="15582"/>
<Node id="15583"/> Conversational action is represented using the theory of Conversation Acts <Node id="15659"/>Traum and Hinkelman 1992<Node id="15683"/> which augments traditional Core Speech Acts with levels of acts for turn-taking , grounding <Node id="15776"/>Clark and Schaefer 1989<Node id="15799"/> , and argumentation . <Node id="15822"/>
<Node id="15823"/> Each utterance will generally contain acts ( or partial acts ) at each of these levels . <Node id="15913"/>
<Node id="15914"/> Representing Mental Attitudes <Node id="15945"/>
<Node id="15946"/> As well as representing general obligations within the temporal logic used to represent general knowledge , the system also maintains two stacks ( one for each conversant ) of pending discourse obligations . <Node id="16155"/>
<Node id="16156"/> Each obligation on the stack is represented as an obligation type paired with a content . <Node id="16247"/>
<Node id="16248"/> The stack structure is appropriate because , in general , one must respond to the most recently imposed obligation first . <Node id="16372"/>
<Node id="16373"/> As explained in Section <Node id="16398"/> , the system will attend to obligations before considering other parts of the discourse context . <Node id="16497"/>
<Node id="16498"/> Most obligations will result in the formation of intentions to communicate something back to the user . <Node id="16603"/>
<Node id="16604"/> When the intentions are formed , the obligations are removed from the stack , although they have not yet actually been met . <Node id="16730"/>
<Node id="16731"/> If , for some reason , the system dropped the intention without satisfying it and the obligation were still current , the system would place them back on the stack . <Node id="16898"/>
<Node id="16899"/> The over-riding goal for the TRAINS domain is to construct and execute a plan that is shared between the two participants . <Node id="17024"/>
<Node id="17025"/> This leads to other goals such as accepting proposals that the other agent has suggested , performing domain plan synthesis , proposing to the other agent plans that the domain plan reasoner has constructed , or executing a completed plan . <Node id="17267"/>
<Node id="17268"/> The Discourse Actor Algorithm <Node id="17299"/>
<Node id="17300"/> In designing an agent to control the behavior of the dialogue manager , we choose a reactive approach in which the system will not deliberate and add new intentions until after it has performed the actions which are already intended . <Node id="17536"/>
<Node id="17537"/> As shown above , though , new obligations will need to be addressed before performing intended actions . <Node id="17643"/>
<Node id="17644"/> The agent 's deliberative behavior could thus be characterized in an abstract sense as : <Node id="17734"/>
<Node id="17735"/> When deciding what to do next , the agent first considers obligations and decides how to update the intentional structure ( add new goals or intentions ) based on these obligations . <Node id="17919"/>
<Node id="17920"/> Obligations might also lead directly to immediate action . <Node id="17980"/>
<Node id="17981"/> If there are no obligations , then the agent will consider its intentions and perform any actions which it can to satisfy these intentions . <Node id="18123"/>
<Node id="18124"/> If there are no performable intentions , then the system will deliberate on its overall goals and perhaps adopt some new intentions ( which can then be performed on the next iteration ) . <Node id="18313"/>
<Node id="18314"/> For the discourse actor , special consideration must be given to the extra constraints that participation in a conversation imposes . <Node id="18449"/>
<Node id="18450"/> This includes some weak general obligations ( such as acknowledging utterances by others and not interrupting ) as well as some extra goals coming from the domain setting to maintain a shared view of the world and the domain plans which are to be executed . <Node id="18709"/>
<Node id="18710"/> We prioritize the sources for the deliberations of the actor as follows : <Node id="18785"/>
<Node id="18786"/> Discourse Obligations from Table <Node id="18820"/> <Node id="18821"/>
<Node id="18822"/> Weak Obligation : Don't interrupt user 's turn <Node id="18870"/>
<Node id="18871"/> Intended Speech Acts <Node id="18893"/>
<Node id="18894"/> Weak Obl : Grounding ( coordinate mutual beliefs ) <Node id="18946"/>
<Node id="18947"/> Discourse Goals : Domain Plan Negotiation <Node id="18990"/>
<Node id="18991"/> High-level Discourse Goals <Node id="19019"/>
<Node id="19020"/> The implemented actor serializes consideration of these sources into the algorithm in Figure <Node id="19114"/> . <Node id="19117"/>
<Node id="19118"/> The updating of the conversational state due to perceived conversation acts or actions of other modules of the system progresses asynchronously with the operation of the discourse actor . <Node id="19307"/>
<Node id="19308"/> Whenever the discourse actor is active , it will first decide on which task to attempt , according to the priorities given in Figure <Node id="19442"/> , and then work on that task . <Node id="19474"/>
<Node id="19475"/> After completing a particular task , it will then run through the loop again , searching for the next task , although by then the context may have changed due to , e.g. , the observance of a new utterance from the user . <Node id="19697"/>
<Node id="19698"/> The actor is always running and decides at each iteration whether to speak or not ( according to turn-taking conventions ) ; the system does not need to wait until a user utterance is observed to invoke the actor , and need not respond to user utterances in an utterance by utterance fashion . <Node id="19993"/>
<Node id="19994"/> Lines 2 - 3 of the algorithm in Figure <Node id="20034"/> indicate that the actor 's first priority is fulfilling obligations . <Node id="20105"/>
<Node id="20106"/> If there are any , then the actor will do what it thinks best to meet those obligations . <Node id="20197"/>
<Node id="20198"/> If there is an obligation to address a request , the actor will evaluate whether the request is reasonable , and if so , accept it , otherwise reject it , or , if it does not have sufficient information to decide , attempt to clarify the parameters . <Node id="20450"/>
<Node id="20451"/> In any case , part of meeting the obligation will be to form an intention to tell the user of the decision ( e.g. , the acceptance , rejection , or clarification ) . <Node id="20618"/>
<Node id="20619"/> When this intention is acted upon and the utterance produced , the obligation will be discharged . <Node id="20719"/>
<Node id="20720"/> Other obligation types are to repair an uninterpretable utterance or one in which the presuppositions are violated , or to answer a question . <Node id="20864"/>
<Node id="20865"/> In question answering , the actor will query its beliefs and will answer depending on the result , which might be that the system does not know the answer . <Node id="21023"/>
<Node id="21024"/> In most cases , the actor will merely form the intention to produce the appropriate utterance , waiting for a chance , according to turn-taking conventions , to actually generate the utterance . <Node id="21220"/>
<Node id="21221"/> In certain cases , though , such as a repair , the system will actually try to take control of the turn and produce an utterance immediately . <Node id="21365"/>
<Node id="21366"/> For motivations other than obligations , the system adopts a fairly `` relaxed '' conversational style ; it does not try to take the turn until given it by the user unless the user pauses long enough that the conversation starts to lag ( lines 14 - 17 ) . <Node id="21623"/>
<Node id="21624"/> When the system does not have the turn , the conversational state will still be updated , but the actor will not try to deliberate or act . <Node id="21765"/>
<Node id="21766"/> When the system does have the turn , the actor first ( after checking obligations ) examines its intended conversation acts . <Node id="21893"/>
<Node id="21894"/> If there are any , it calls the generator to produce an utterance ( lines 5 - 6 of the discourse actor algorithm ) . <Node id="22012"/>
<Node id="22013"/> Whatever utterances are produced are then reinterpreted ( as indicated in Figure <Node id="22095"/> ) and the conversational state updated accordingly . <Node id="22149"/>
<Node id="22150"/> This might , of course , end up in releasing the turn . <Node id="22207"/>
<Node id="22208"/> It might not be convenient to generate all the intended acts in one utterance , in which case there will remain some intended acts left for future utterances to take care of ( unless the subsequent situation merits dropping those intentions ) . <Node id="22454"/>
<Node id="22455"/> Only intended speech acts that are part of the same argumentation acts as those which are uttered will be kept as intentions - others will revert back to whatever caused the intention to be formed , although subsequent deliberation might cause the intentions to be re-adopted . <Node id="22734"/>
<Node id="22735"/> If there are no intended conversation acts , the next thing the actor considers is the grounding situation ( lines 7 - 8 ) . <Node id="22861"/>
<Node id="22862"/> The actor will try to make it mutually believed ( or grounded ) whether particular speech acts have been performed . <Node id="22980"/>
<Node id="22981"/> This will involve acknowledging or repairing user utterances , as well as repairing and requesting acknowledgement of the system 's own utterances . <Node id="23131"/>
<Node id="23132"/> Generally , grounding is considered less urgent than acting based on communicative intentions , although some grounding acts will be performed on the basis of obligations which arise while interpreting prior utterances . <Node id="23354"/>
<Node id="23355"/> If all accessible utterances are grounded , the actor then considers the negotiation of domain beliefs and intentions ( lines 9 - 10 ) . <Node id="23493"/>
<Node id="23494"/> The actor will try to work towards a shared domain plan , adding intentions to perform the appropriate speech acts to work towards this goal . <Node id="23638"/>
<Node id="23639"/> This includes accepting , rejecting , or requesting retraction of user proposals , requesting acceptance of or retracting system proposals , and initiating new system proposals or counterproposals . <Node id="23839"/>
<Node id="23840"/> The actor will first look for User proposals which are not shared . <Node id="23909"/>
<Node id="23910"/> If any of these are found , it will add an intention to accept the proposal , unless the proposal is deficient in some way ( e.g. , it will not help towards the goal or the system has already come up with a better alternative ) . <Node id="24141"/>
<Node id="24142"/> In this latter case , the system will reject the user 's proposal and present or argue for its own proposal . <Node id="24253"/>
<Node id="24254"/> Next , the actor will look to see if any of its own proposals have not been accepted , requesting the user to accept them if they have been simply acknowledged , or retracting or reformulating them if they have already been rejected . <Node id="24490"/>
<Node id="24491"/> Finally , the actor will check its private plans for any parts of the plan which have not yet been proposed . <Node id="24602"/>
<Node id="24603"/> If it finds any here , it will adopt an intention to make a suggestion to the user . <Node id="24689"/>
<Node id="24690"/> If none of the more local conversational structure constraints described above require attention , then the actor will concern itself with its actual high-level goals . <Node id="24860"/>
<Node id="24861"/> For the TRAINS system , this will include making calls to the domain plan reasoner and domain executor , which will often return material to update the system 's private view of the plan and initiate its own new proposals . <Node id="25086"/>
<Node id="25087"/> It is also at this point that the actor will take control of the conversation , pursuing its own objectives rather than responding to those of the user . <Node id="25242"/>
<Node id="25243"/> Finally , if the system has no unmet goals that it can work towards achieving ( line 13 ) , it will hand the turn back to the user or try to end the conversation if it believes the user 's goals have been met as well . <Node id="25463"/>
<Node id="25464"/> Examples <Node id="25474"/>
<Node id="25475"/> The functioning of the actor can be illustrated by its behavior in the dialogue in Figure <Node id="25566"/> . <Node id="25569"/>
<Node id="25570"/> While the discussion here is informal and skips some details , the dialogue is actually processed in this manner by the implemented system . <Node id="25712"/>
<Node id="25713"/> More detail both on the dialogue manager and its operation on this example can be found in <Node id="25805"/>Traum 1994<Node id="25815"/> . <Node id="25818"/>
<Node id="25819"/> Utterance <Node id="25830"/> is interpreted as performing two Core Speech Acts . <Node id="25883"/>
<Node id="25884"/> It is interpreted ( literally ) as the initiation of an inform about an obligation to perform a domain action ( shipping the oranges ) . <Node id="26022"/>
<Node id="26023"/> This utterance is also seen as ( the initiation of ) an ( indirect ) suggestion that this action be the goal of a shared domain plan to achieve the performance of the action . <Node id="26200"/>
<Node id="26201"/> In addition , this utterance releases the turn to the system . <Node id="26265"/>
<Node id="26266"/> Figure <Node id="26274"/> shows the relevant parts of the discourse state after interpretation of this utterance . <Node id="26364"/>
<Node id="26365"/> After interpreting utterance <Node id="26395"/> , the system first decides to acknowledge this utterance ( lines 7 - 8 in the actor algorithm ) - moving the suggestion from an unacknowledged to unaccepted - and then to accept the proposal ( lines 9 - 10 ) . <Node id="26606"/>
<Node id="26607"/> Finally , the system acts on the intentions produced by these deliberations ( lines 5 - 6 ) and produces the combined acknowledgement / acceptance of utterance <Node id="26768"/> . <Node id="26771"/>
<Node id="26772"/> This acceptance makes the goal shared and also satisfies the first of the discourse goals , that of getting the domain goal to work on . <Node id="26910"/>
<Node id="26911"/> Utterances <Node id="26923"/> and <Node id="26928"/> are interpreted , but not responded to yet since the user keeps the turn ( in this case by following up with subsequent utterances before the system has a chance to act ) . <Node id="27102"/>
<Node id="27103"/> Utterance <Node id="27114"/> invokes a discourse obligation on the system to respond to the User 's assertion in 3 - 7 and also gives the turn to the system . <Node id="27245"/>
<Node id="27246"/> The resulting discourse context ( after the system decides to acknowledge ) is shown in Figure <Node id="27342"/> . <Node id="27345"/>
<Node id="27346"/> The system queries its domain knowledge base and decides that the user is correct here ( there are , indeed , oranges at Corning ) , and so decides to meet this obligation ( lines 2 - 3 ) by answering in the affirmative . <Node id="27569"/>
<Node id="27570"/> This results in forming an intention to inform , which is then realized ( along with the acknowledgement of the utterances ) by the production of utterance <Node id="27727"/> . <Node id="27730"/>
<Node id="27731"/> Similar considerations hold for the system responses <Node id="27785"/> and <Node id="27790"/> . <Node id="27793"/>
<Node id="27794"/> The reasoning leading up to utterance <Node id="27833"/> is similar to that leading to utterance <Node id="27874"/> . <Node id="27877"/>
<Node id="27878"/> Here the user is suggesting domain actions to help lead to the goal , and the system , when it gets the turn , acknowledges and accepts this suggestion . <Node id="28033"/>
<Node id="28034"/> Utterances <Node id="28046"/> , <Node id="28049"/> , and <Node id="28056"/> are interpreted as requests because of the imperative surface structure . <Node id="28131"/>
<Node id="28132"/> The discourse obligation to address the request is incurred only when the system decides to acknowledge the utterances and ground them . <Node id="28270"/>
<Node id="28271"/> After the decision to acknowledge , the obligations are incurred , and the system then addresses the requests , deciding to accept them all , and adding intentions to perform an accept speech act , which is then produced as 16 . <Node id="28501"/>
<Node id="28502"/> Utterance <Node id="28513"/> is interpreted as a request for evaluation of the plan . <Node id="28571"/>
<Node id="28572"/> When the system decided to acknowledge , this creates a discourse obligation to address the request . <Node id="28675"/>
<Node id="28676"/> The system considers this ( invoking the domain plan reasoner to search the plan for problems or incomplete parts ) and decides that the plan will work , and so decides to perform the requested action - an evaluation speech act . <Node id="28907"/>
<Node id="28908"/> This is then generated as <Node id="28935"/> . <Node id="28938"/>
<Node id="28939"/> The discourse state after the decision to acknowledge is shown in Figure <Node id="29013"/> . <Node id="29016"/>
<Node id="29017"/> After the user 's assent , the system then checks its goals , and , having already come up with a suitable plan , executes this plan in the domain by sending the completed plan to the domain plan executor . <Node id="29225"/>
<Node id="29226"/> This example illustrates only a small fraction of the capabilities of the dialogue model . <Node id="29318"/>
<Node id="29319"/> In this dialogue , the system needed only to follow the initiative of the user . <Node id="29401"/>
<Node id="29402"/> However this architecture can handle varying degrees of initiative , while remaining responsive . <Node id="29501"/>
<Node id="29502"/> The default behavior is to allow the user to maintain the initiative through the plan construction phase of the dialogue . <Node id="29626"/>
<Node id="29627"/> If the user stops and asks for help , or even just gives up the initiative rather than continuing with further suggestions , the system will switch from plan recognition to plan elaboration and incrementally devise a plan to satisfy the goal ( although this plan would probably not be quite the same as the plan constructed in this dialogue ) . <Node id="29973"/>
<Node id="29974"/> <Node id="29975"/>We can illustrate the system behaving more on the basis of goals than obligations with a modification of the previous example .<Node id="30102"/> <Node id="30103"/>
<Node id="30104"/> Here , the user releases the turn back to the system after utterance <Node id="30174"/> , and the deliberation proceeds as follows : the system has no obligations , no communicative intentions , nothing is ungrounded , and there are no unaccepted proposals , so the system starts on its high-level goals . <Node id="30393"/>
<Node id="30394"/> Given its goal to form a shared plan , and the fact that the current plan ( consisting of the single abstract move-commodity action ) is not executable , the actor will call the domain plan reasoner to elaborate the plan . <Node id="30618"/>
<Node id="30619"/> This will return a list of augmentations to the plan which can be safely assumed ( including a move-engine event which generates the move-commodity , given the conditions that the oranges are in a boxcar which is attached to the engine ) , as well as some choice point where one of several possibilities could be added ( e.g. , a choice of the particular engine or boxcar to use ) . <Node id="31003"/>
<Node id="31004"/> Assuming that the user still has not taken the turn back , the system can now propose these new items to the user . <Node id="31121"/>
<Node id="31122"/> The choice could be resolved in any of several ways : the domain executor could be queried for a preference based on prior experience , or the system could put the matter up to the user in the form of an alternative question , or it could make an arbitrary choice and just suggest one to the user . <Node id="31422"/>
<Node id="31423"/> The user will now be expected to acknowledge and react to these proposals . <Node id="31500"/>
<Node id="31501"/> If the system does not get an acknowledgement , it will request acknowledgement the next time it considers the grounding situation . <Node id="31635"/>
<Node id="31636"/> If the proposal is not accepted or rejected , the system can request an acceptance . <Node id="31722"/>
<Node id="31723"/> If a proposal is rejected , the system can negotiate and offer a counterproposal or accept a counter proposal from the user . <Node id="31850"/>
<Node id="31851"/> Since the domain plan reasoner <Node id="31883"/>Ferguson 1994<Node id="31896"/> performs both plan recognition and plan elaboration in an incremental fashion , proposals from system and user can be integrated naturally in a mixed-initiative fashion . <Node id="32068"/>
<Node id="32069"/> The termination condition will be a shared executable plan which achieves the goal , and each next action in the collaborative planning process will be based on local considerations . <Node id="32254"/>
<Node id="32255"/> Discussion <Node id="32267"/>
<Node id="32268"/> <Node id="32269"/>We have argued that obligations play an important role in accounting for the interactions in dialog .<Node id="32370"/> <Node id="32371"/>
<Node id="32372"/> Obligations do not replace the plan-based model , but augment it . <Node id="32440"/>
<Node id="32441"/> The resulting model more readily accounts for discourse behavior in adversarial situations and other situations where it is implausible that the agents adopt each others goals . <Node id="32620"/>
<Node id="32621"/> The obligations encode learned social norms , and guide each agent 's behavior without the need for intention recognition or the use of shared plans at the discourse level . <Node id="32796"/>
<Node id="32797"/> While such complex intention recognition may be required in some complex interactions , it is not needed to handle the typical interactions of everyday discourse . <Node id="32962"/>
<Node id="32963"/> Furthermore , there is no requirement for mutually-agreed upon rules that create obligations . <Node id="33059"/>
<Node id="33060"/> Clearly , the more two agents agree on the rules , the smoother the interaction becomes , and some rules are clearly virtually universal . <Node id="33200"/>
<Node id="33201"/> But each agent has its own set of individual rules , and we do not need to appeal to shared knowledge to account for local discourse behavior . <Node id="33346"/>
<Node id="33347"/> We have also argued that an architecture that uses obligations provides a much simpler implementation than the strong plan-based approaches . <Node id="33490"/>
<Node id="33491"/> In particular , much of local discourse behavior can arise in a `` reactive manner '' without the need for complex planning . <Node id="33618"/>
<Node id="33619"/> The other side of the coin , however , is a new set of problems that arise in planning actions that satisfy the multiple constraints that arise from the agent 's personal goals and perceived obligations . <Node id="33825"/>
<Node id="33826"/> The model presented here allows naturally for a mixed-initiative conversation and varying levels of co-operativity . <Node id="33944"/>
<Node id="33945"/> Following the initiative of the other can be seen as an obligation driven process , while leading the conversation will be goal driven . <Node id="34083"/>
<Node id="34084"/> Representing both obligations and goals explicitly allows the system to naturally shift from one mode to the other . <Node id="34202"/>
<Node id="34203"/> In a strongly co-operative domain , such as TRAINS , the system can subordinate working on its own goals to locally working on concerns of the user , without necessarily having to have any shared discourse plan . <Node id="34417"/>
<Node id="34418"/> In less co-operative situations , the same architecture will allow a system to still adhere to the conversational conventions , but respond in different ways , perhaps rejecting proposals and refusing to answer questions . <Node id="34642"/>

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Conversation and behavior games in the pragmatics of dialogue.
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Analyzing intention in utterances.
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</GateDocument>

gistfile1.txt

## Example XML file