robinvanemden

# -*- coding: utf-8 -*-
import libs.lif as lf

key = "question"
value = self.context['question']

theta = self.get_theta(all_float=False, key=key, value=value)
Lif = lf.Lif(theta, x0=self.context['x0'], A=1.4 , T=100, gamma=.004, omega=.8, lifversion=2)
Lif.update(self.action["t"],self.action["x"], self.reward)
self.set_theta(Lif, key=key, value=value)

robinvanemden

# -*- coding: utf-8 -*-
import libs.lif as lf

key = "question"
value = self.context['question']

theta = self.get_theta(all_float=False, key=key, value=value)
Lif = lf.Lif(theta, x0=self.context['x0'], A=1.4 , T=100, gamma=.004, omega=.8, lifversion=2)
suggestion = Lif.suggest()

robinvanemden

# Implementation of Lock in Feedback.
# -*- coding: utf-8 -*-
from libs.base import *
import numpy as np
import json

class Lif:

    def __init__(self, theta, x0=1.0, A=1.4, T=100, gamma=.004, omega=0.8, lifversion=2):
        self._set_parameters(x0, A, T, gamma, omega, lifversion)

robinvanemden

<strong>Eyewitness</strong>
Three suspects have been lined up by the police, and two witnesses are asked how certain they are of seeing each of the suspects at the crime-scene. Which subject would might have been at the crime scene, according to you?
<style type="text/css">
.table {
    width: 100%;
    border: 1px solid #C0C0C0;
    border-collapse: collapse;
    padding: 5px;
}
.table th {

robinvanemden

/**
 * 
 * Qualtrics_barebones_question_for_lif.js
 * Javascript code to integrate Streamingbandit & Qualtrics.
 * Sends an receives JSON to and from StreamingBandit server
 *
 **/

/* --- insert as <script> into look and feel ---*/

robinvanemden

for t in range(0,stream):
    x = x0 + amplitude*np.cos(omega * t)
    y = amplitude*np.cos(omega * t)*getobs(x,5,variance)
    values = matrixpush(values, np.array([t,x,y]))
    if np.all(np.isfinite(values[:,0])):
        x0 = x0 + learnrate * sum( values[:,2] ) / inttime

robinvanemden

import numpy as np

def matrixpush(m, row):
    if not np.all(np.isfinite(values[:,0])):
        i = np.count_nonzero(np.logical_not(np.isnan(values[:,0])))
        m[i,] = row
    else:
        m = np.vstack([m,row])
        m = m[1:,]
    return(m)

robinvanemden

# Implementation of Lock in Feedback.
# -*- coding: utf-8 -*-
from libs.base import *
import numpy as np
import ujson as json
import sys

class Lif:

    def __init__(self, theta, x0=1.0, A=1.4, T=100, gamma=.004, omega=0.8, lifversion=2):

robinvanemden

# -*- coding: utf-8 -*-

#from IPython import get_ipython
#get_ipython().magic('reset -sf')


import sys,random
import ujson as json
import asyncio,aiohttp,pymongo
import numpy as np

robinvanemden

library(Cairo)
library(ggplot2)
library(animation)

############################## configuration ##############################


# set working directory

setwd("C:/Users/robin/Desktop/Monopolist")