Authors:
Gaël Hette
;
Sylvia Estivie
;
Emmanuel Adam
and
René Mandiau
Affiliation:
Univ Lille Nord de France, UVHC and CNRS, France
Keyword(s):
Multi-agent system, Task allocation, Residual resources, Resources pooling.
Related
Ontology
Subjects/Areas/Topics:
Agent Models and Architectures
;
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Distributed and Mobile Software Systems
;
Distributed Problem Solving
;
Enterprise Information Systems
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Multi-Agent Systems
;
Software Engineering
;
Symbolic Systems
Abstract:
We propose a model to solve the disturbances which could occur during the execution of agents task schedules in a dynamic multi-agent system. Our model is based on pooling residual resources to reallocate tasks in case of incoming tasks or disturbances during the execution of the system. In our context, initial task schedules of agents are defined such that, during some given time windows, agents can perform additional tasks with their residual resources. In this paper, we propose a model for this problem. In order to validate this model, we also propose a first resolution method attempt and an experimental study of this framework.