Paper Info
Title
Context-Aware Multi-Agent Planning in intelligent environments
Abstract
A system is context-aware if it can extract, interpret and use context information and adapt its functionality to the current context of use. Multi-agent planning generalizes the problem of planning in domains where several agents plan and act together, and share resources, activities, and goals. This contribution presents a practical extension of a formal theoretical model for Context-Aware Multi-Agent Planning based upon an argumentation-based defeasible logic. Our framework, named CAMAP, is implemented on a platform for open multi-agent systems and has been experimentally tested, among others, in applications of ambient intelligence in the field of health-care. CAMAP is based on a multi-agent partial-order planning paradigm in which agents have diverse abilities, use an argumentation-based defeasible contextual reasoning to support their own beliefs and refute the beliefs of the others according to their context knowledge during the plan search process. CAMAP shows to be an adequate approach to tackle ambient intelligence problems as it gathers together in a single framework the ability of planning while it allows agents to put forward arguments that support or argue upon the accuracy, unambiguity and reliability of the context-aware information.
Year
DOI
Venue
2013
10.1016/j.ins.2012.11.021
Inf. Sci.
Keywords
Field
DocType
agents plan,argumentation-based defeasible logic,ambient intelligence,multi-agent partial-order planning paradigm,multi-agent planning,context knowledge,intelligent environment,context-aware multi-agent planning,ambient intelligence problem,current context,argumentation-based defeasible contextual reasoning,use context information
Defeasible argumentation,Computer science,Defeasible logic,Ambient intelligence,Argumentation theory,Contextual reasoning,Multi-agent planning,Artificial intelligence,Defeasible estate,Machine learning
Journal
Volume
ISSN
Citations 
227,
0020-0255
12
PageRank 
References 
Authors
0.51
33
2
Name
Order
Citations
PageRank
Sergio Pajares Ferrando1262.08
Eva Onaindia253455.65