Paper Info
Title
A cognitive model for autonomous agents based on bayesian programming
Abstract
This paper presents a cognitive model for an autonomous agent based on emotional psychology and Bayesian programming. A robot with emotional responses allows us to plan behaviour in a different way than present robotic architectures and provides us with a method of generating a new interface for human/robot interaction. The use of emotional modules means that the emotional state of the robot can be obtained directly and, therefore, it is relatively simple to obtain a virtual face that represents these emotions. An autonomous agent could have a model of the environment to be able to interact with the real universe where it is working. It is necessary to consider that any model of a real phenomenon will be incomplete due to the existence of uncertain, unknown variables that influence the phenomenon. Two example arquitectures are proposed here. Using these architectures some experimental data, to verify the correctness of this approach, is provided.
Year
DOI
Venue
2005
10.1007/11565123_27
BVAI
Keywords
Field
DocType
cognitive model,autonomous agent
Autonomous agent,Computer science,Correctness,Bayesian programming,Artificial intelligence,Autonomous system (mathematics),Cognitive model,Robot,User interface,Robotics
Conference
Volume
ISSN
ISBN
3704
0302-9743
3-540-29282-9
Citations 
PageRank 
References 
1
0.40
6
Authors
4
Name
Order
Citations
PageRank
Fidel Aznar Gregori1175.31
Mireia Sempere242.48
Maria Del Mar Pujol López321.47
R. Rizo45114.90