DocumentCode :
2167143
Title :
Bayesian networks for representing affective agent based on situation calculus
Author :
Chen, Zelin ; Tang, Luming
Author_Institution :
School of Software Engineering, South China University of Technology, SCUT, Guangzhou, China 510640
fYear :
2015
fDate :
22-24 July 2015
Firstpage :
42
Lastpage :
46
Abstract :
Intelligent robots or autonomous agents that could express human-like emotions are more trustworthy when humans communicate with them. Agents choose appropriate actions not only depending on current goals and the information perceived from the environment, but also on their mental state. We take formal accounts of how to represent affective states of agents when reasoning about actions and their effects. We discuss the computational description by mapping our model onto the Bayesian networks. In this paper, we propose a logical approach that clearly illustrates the relations among actions, situations, sensing, and affective states in the situation calculus.
Keywords :
Artificial intelligence; Autonomous agents; Bayes methods; Calculus; Robot sensing systems; Bayesian networks; affective states; autonomous agent; cognitive robotics; situation calculus;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Education (ICCSE), 2015 10th International Conference on
Conference_Location :
Cambridge, United Kingdom
Print_ISBN :
978-1-4799-6598-4
Type :
conf
DOI :
10.1109/ICCSE.2015.7250215
Filename :
7250215
Link To Document :
بازگشت