Iori Mizutani iomz

Terminology and Tooling in Mutli-agent System (MAS)

MAS is a computerized system composed of multiple interacting intelligent agents to solve problems that cannot be solved by a monolithic approach.

The definition of intelligent agents varies between different approaches such as methodic, functional, procedural approaches, algorithmic search, or reinforcement learning.

In this note, I attempt to summarize the terminology and tooling used in one of the MAS approaches; procedural reasoning systems (PRS) based on the belief-desire-intention (BDI) model.

AgentSpeak

AgentSpeak [1] is a programming language to formalize BDI architecture for (cognitive) autonomous agents as an abstraction of one of the implemented PRS, and falls in the logic programming paradigm with horn-clauses.

	/* Parse a string received as MQTT message to a JSON object */
	var data = JSON.parse(msg.payload);

	/* Extrace attributes stored in the JSON */
	var accelX = data.accelX;
	var accelY = data.accelY;

	/* Compute the Theta and Phi from Acceleration along x/y axis */
	var theta = - (Math.asin(accelY));
	var phi = Math.asin(accelX/Math.cos(theta));

	# download http://scanningtheearth.org/data/[0-9]+
	wget -q -O - http://scanningtheearth.org/data \| grep "href=\"[0-9]\+\"" \| sed "s/^.href=\"//g" \| sed "s/\".$//g" \| xargs -I {} wget -O {}.csv http://scanningtheearth.org/data/{}

	## 対象のhtmlをダウンロードして、stdoutからpipeする
	#wget -q -O - http://scanningtheearth.org/data \|
	#
	## 数字のみを含むhrefがある行をまず抽出して、その前後をトリムする
	#grep "href=\"[0-9]\+\"" \| sed "s/^.href=\"//g" \| sed "s/\".$//g" \|
	#
	## できた数字の列からurlとファイル名をして出力

	#!/usr/bin/env python
	# -- coding: utf-8 --
	from HTMLParser import HTMLParser
	from re import match, search
	from sys import exit, stdout
	import csv

	class HWParser(HTMLParser):
	def __init__(self):
	HTMLParser.__init__(self)