Title: Towards adaptive role selection for behavior-based agents
Authors: Weyns, Danny ×
Schelfthout, Kurt
Holvoet, Tom
Glorieux, Olivier #
Issue Date: 2005
Publisher: Springer-verlag berlin
Series Title: Lecture Notes in Computer Science vol:3394 pages:295-312
Conference: Post-proceedings of the 4th International Symposium on Adaptive Agents and Multi-Agent Systems location:Leeds, UK date:March 29 - April 1, 2004
Abstract: This paper presents a model for adaptive agents. The model describes the behavior of an agent as a graph of roles, in short a behavior graph. Links between roles provide conditions that determine whether the agent can switch roles. The behavior graph is assigned at design time, however adaptive role selection takes place at runtime. Adaptivity is achieved through factors in the links of the behavior graph. A factor models a property of the agent or its perceived environment. When an agent can switch roles via different links, the factors determine the role the agent will switch to. By analyzing the effects of its performed actions the agent is able to adjust the value of specific factors, adapting the selection of roles in line with the changing circumstances. Models for adaptive agents typically describe how an agent dynamically selects a behavior (or action) based on the calculation of a probability value as a function of the observed state for each individual behavior (or action). In contrast, the model we propose aims to dynamically adapt logical relations between different behaviors (called roles here) in order to dynamically form paths of behaviors (i.e. sequences of roles) that are suitable in the current state. To verify the model we applied it to the Packet-World. In the paper we discuss simulation results that show how the model enables the agents in the Packet-World to adapt their behavior to changes in the environment.
Description: Adaptive Agents and Multi-Agent Systems III: Adaptation and Multi-Agent Learning
ISBN: 3-540-25260-6
ISSN: 0302-9743
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Informatics Section
× corresponding author
# (joint) last author

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