Adaptive agent's integration in a new environment: interactions as a source of learning

Authors:
Isabelle Jars;Nadia Kabachi;Michel Lamure
Affiliations:
LASS, Université Claude Bernard Lyon I, Villeurbanne Cedex, France;LASS, Université Claude Bernard Lyon I, Villeurbanne Cedex, France;LASS, Université Claude Bernard Lyon I, Villeurbanne Cedex, France
Venue:
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Year:
2005

Citing 3
Cited 0

Distributed Artificial Intelligence

Distributed Artificial Intelligence
From Active Objects to Autonomous Agents

IEEE Concurrency
Ontological Feedback in Multiagent Systems

AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1

Quantified Score

Hi-index	0.00

Visualization

Abstract

In psychology, adaptation is a dynamic process in which behavior and physiological mechanisms of an individual continually change to adjust variations in the environment. Following this logic using a multi agents system, we can simulate the behavior of a person wishing to integrate easily and quickly a new environment using its interactions with the others. Indeed, we consider that information exchanges can essentially be done during the process of communication and interaction. In this paper, we present a protocol-based communication and exchange model for an adaptive agent.