Implementing Validated Agents Behaviours with Automata Based on Goal Decomposition Trees
Identifieur interne : 000C32 ( France/Analysis ); précédent : 000C31; suivant : 000C33Implementing Validated Agents Behaviours with Automata Based on Goal Decomposition Trees
Auteurs : Gaële Simon [France] ; Marianne Flouret [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.
Abstract
Abstract: In order to provide an effective tool allowing to implement validated agents behaviours, this paper first presents a Goal Decomposition Tree (GDT), a model to specify behaviours both in procedural and declarative ways. A GDT allows the designer to verify the specified behaviour. This model is then used to generate a behaviour automaton using automata composition patterns associated to operators used in the tree. This process allows to obtain a finite expression representing all valid behaviours of agents of a MAS.
Url:
DOI: 10.1007/11752660_10
Affiliations:
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<front><div type="abstract" xml:lang="en">Abstract: In order to provide an effective tool allowing to implement validated agents behaviours, this paper first presents a Goal Decomposition Tree (GDT), a model to specify behaviours both in procedural and declarative ways. A GDT allows the designer to verify the specified behaviour. This model is then used to generate a behaviour automaton using automata composition patterns associated to operators used in the tree. This process allows to obtain a finite expression representing all valid behaviours of agents of a MAS.</div>
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