Using an Affective Attention Focus for Improving the Reasoning Process and Behavior of Intelligent Agents

Simulations based on cognitively rich agents can become a very intensive computing task, especially when the simulated world represents a complex system. Those simulations can however benefit from optimizations coming from the way in which agents react to changes in the simulated environment. This p...

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Bibliographic Details
Main Authors: Signoretti, Alberto, Feitosa, Antonino, Campos, Andre M., Canuto, Anne M., Xavier-Junior, Joao C., Fialho, Sergio V.
Format: Conference Proceeding
Language:English
Subjects:
Adaptation models
Cognition
Computational modeling
Computer architecture
Computing methodologies > Artificial intelligence > Distributed artificial intelligence > Intelligent agents
Decision making
Emotional agents
Focus of attention
Humans
Information systems > Information systems applications
Information systems > Information systems applications > Decision support systems > Expert systems
Mood
Online Access:Request full text
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Summary:Simulations based on cognitively rich agents can become a very intensive computing task, especially when the simulated world represents a complex system. Those simulations can however benefit from optimizations coming from the way in which agents react to changes in the simulated environment. This paper presents an approach for improving the efficiency of the decision-making process of autonomous agents in a simulation. The optimization is reached by dynamically adapting the agent's perception to a bounded subset of all the agent's surrounding elements, which contains only the most important elements for the agent at the current time. In other words, the agent is modeled as having a dynamic focus of attention.
DOI:10.1109/WI-IAT.2011.81