Authors:
Emmanuelle Grislin-Le Strugeon
1
and
Patricia Everaere
2
Affiliations:
1
Univ. Lille Nord de France, France
;
2
Université Lille 1 and LIFL, France
Keyword(s):
Autonomous agent, Action selection, Vote, Preferences.
Related
Ontology
Subjects/Areas/Topics:
Agent Models and Architectures
;
Agents
;
Artificial Intelligence
;
Bioinformatics
;
Biomedical Engineering
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Methodologies and Technologies
;
Operational Research
;
Simulation
Abstract:
We have investigated the use of continuous alternatives for action selection by a behavior-oriented agent. Such an agent is made of concurrent ``behaviors"; each of these behaviors reacts to specific stimuli and provides a response according to a low-level goal. Since the behaviors are specialized, they can provide concurrent responses and conflicts among them must be solved to perform a coherent global behavior of the agent. In this context, voting methods allow to select only one of the responses of the behaviors, while taking into account their preferences and respecting all of their constraints. Previous works are based on action spaces limited to few discrete values and have shown difficulties in determining the behaviors weights for the vote. Furthermore, these works generally not allow to express the indifference of a behavior on a alternative's component, i.e. the fact that a behavior has no preference on the value of one component of an alternative. We propose in this arti
cle a method to use continuous values for the alternatives and a fair vote based on one alternative proposition per behavior. Our framework also allows the expression of indifference between alternatives. This proposition has been tested and compared, and the results show that our approach is better than previous propositions to avoid locked situations.
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