Reasoning about action II: the qualification problem
Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Understanding and Using Context
Personal and Ubiquitous Computing
Artificial argument assistants for defeasible argumentation
Artificial Intelligence - Special issue on AI and law
Automated Planning: Theory & Practice
Automated Planning: Theory & Practice
Bridging the gap between planning and scheduling
The Knowledge Engineering Review
Defeasible logic programming: an argumentative approach
Theory and Practice of Logic Programming
AmbieAgents: a scalable infrastructure for mobile and context-aware information services
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Agent-based ambient intelligence for healthcare
AI Communications - Agents Applied in Health Care
Easishop: Ambient intelligence assists everyday shopping
Information Sciences: an International Journal
Argumentation-Based Agent Interaction in an Ambient-Intelligence Context
IEEE Intelligent Systems
A survey on context-aware systems
International Journal of Ad Hoc and Ubiquitous Computing
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IEEE Intelligent Systems
Context-aware systems: A literature review and classification
Expert Systems with Applications: An International Journal
Total-order and partial-order planning: a comparative analysis
Journal of Artificial Intelligence Research
Reviving partial order planning
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Introduction to planning in multiagent systems
Multiagent and Grid Systems - Planning in multiagent systems
New research perspectives on Ambient Intelligence
Journal of Ambient Intelligence and Smart Environments
Defeasible reasoning and partial order planning
FoIKS'08 Proceedings of the 5th international conference on Foundations of information and knowledge systems
Agreeing on plans through iterated disputes
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
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IEEE Transactions on Knowledge and Data Engineering
Strategies for contextual reasoning with conflicts in ambient intelligence
Knowledge and Information Systems
Multiagent argumentation for cooperative planning in DeLP-POP
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
An architecture for defeasible-reasoning-based cooperative distributed planning
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems - Volume Part I
Preference elicitation techniques for group recommender systems
Information Sciences: an International Journal
Mobile agents for ambient intelligence
MMAS'04 Proceedings of the First international conference on Massively Multi-Agent Systems
Argumentation schemes for collaborative planning
PRIMA'11 Proceedings of the 14th international conference on Agents in Principle, Agents in Practice
Programming MAS with artifacts
ProMAS'05 Proceedings of the Third international conference on Programming Multi-Agent Systems
A Multifaceted Perspective at Data Analysis: A Study in Collaborative Intelligent Agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
What planner for ambient intelligence applications?
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Validating ambient intelligence based ubiquitous computing systems by means of artificial societies
Information Sciences: an International Journal
Information Sciences: an International Journal
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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.