Negotiation as a metaphor for distributed problem solving
Distributed Artificial Intelligence
Tuple centres for the coordination of Internet agents
Proceedings of the 1999 ACM symposium on Applied computing
Distributed data structures in Linda
POPL '86 Proceedings of the 13th ACM SIGACT-SIGPLAN symposium on Principles of programming languages
Embodied agents for multi-party dialogue in immersive virtual worlds
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
Channeled multicast for group communications
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Analysis of Symbolic Data: Exploratory Methods for Extracting Statistical Information from Complex Data
Computer Supported Cooperative Work
Semantics of Agent Communication Languages for Group Interaction
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
A Taxonomy of Middle-Agents for the Internet
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
AMELI: An Agent-Based Middleware for Electronic Institutions
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Dynamic modeling of a disturbance in a multi-agent system for traffic regulation
Decision Support Systems
EgoSpaces: Facilitating Rapid Development of Context-Aware Mobile Applications
IEEE Transactions on Software Engineering
Representing conversations for scalable overhearing
Journal of Artificial Intelligence Research
Monitoring teams by overhearing: a multi-agent plan-recognition approach
Journal of Artificial Intelligence Research
Environment as active support of interaction
E4MAS'06 Proceedings of the 3rd international conference on Environments for multi-agent systems III
Environmental support for tag interactions
E4MAS'06 Proceedings of the 3rd international conference on Environments for multi-agent systems III
Cognitive stigmergy: towards a framework based on agents and artifacts
E4MAS'06 Proceedings of the 3rd international conference on Environments for multi-agent systems III
Establishing global properties of multi-agent systems via local laws
E4MAS'06 Proceedings of the 3rd international conference on Environments for multi-agent systems III
MIC*: a deployment environment for autonomous agents
E4MAS'04 Proceedings of the First international conference on Environments for Multi-Agent Systems
E4MAS'04 Proceedings of the First international conference on Environments for Multi-Agent Systems
Agent information server: a middleware for traveler information
ESAW'05 Proceedings of the 6th international conference on Engineering Societies in the Agents World
Overhearing and direct interactions: point of view of an active environment
E4MAS'05 Proceedings of the 2nd international conference on Environments for Multi-Agent Systems
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Controlling multi-party interaction within normative multi-agent organizations
COIN@AAMAS'10 Proceedings of the 6th international conference on Coordination, organizations, institutions, and norms in agent systems
Management of urban parking: an agent-based approach
AIMSA'12 Proceedings of the 15th international conference on Artificial Intelligence: methodology, systems, and applications
Hi-index | 0.00 |
Recent research in the multi-agent systems field has highlighted the relevance of complex interaction models such as multi-party communication and context awareness. Nevertheless, there are no generic interaction model and infrastructure that enable to apply them in a standardized way. Emerging as a first-order abstraction, the environment, in the sense of a common medium for the agents, is a suitable paradigm to support these new interaction models. We present an operational model called Environment as Active Support of Interaction, that enables each agent to actively modify the environment according to its interaction needs. This model provides a suitable framework for the regulation of MAS interactions, and priority policies are given to manage the rules. An algorithm is proposed and assessed with an example stemming from the ambient intelligence domain.