Context-Aware Emergent Behaviour in a MAS for Information Exchange

The plethora of interconnected devices that surrounds modern people has yet to work together as a whole. An intelligent environment must sense and react to the actions of people, but to that end a large quantity of information must be exchanged throughout the system. Under realistic conditions, it is impossible to control and coordinate the exchange of information in a centralized way. Solving this problem involves key concepts like self-organization, emergent behaviour and context-awareness. Continuing previous work on self-organizing cognitive multi-agent systems for the exchange and management of information, this paper introduces two aspects of context-awareness – pressure and interest – that make the system's emergent behaviour more context-sensitive and, therefore, more adaptive to a changing environment.

[1]  Franco Zambonelli,et al.  Spray computers: frontiers of self-organization for pervasive computing , 2004, 13th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises.

[2]  Juan Carlos Augusto,et al.  Ambient Intelligence: Concepts and applications , 2007, Comput. Sci. Inf. Syst..

[3]  Till Christopher Lech,et al.  AmbieAgents: a scalable infrastructure for mobile and context-aware information services , 2005, AAMAS '05.

[4]  Guanling Chen,et al.  A Survey of Context-Aware Mobile Computing Research , 2000 .

[5]  Fabien L. Gandon,et al.  Ambient Intelligence: The MyCampus Experience , 2005 .

[6]  Bruce Edmonds,et al.  Evolving social rationality for MAS using "tags" , 2002, AAMAS '03.

[7]  Andrei Olaru,et al.  Emergent Properties for Data Distribution in a Cognitive MAS , 2009, IDC.

[8]  Gauthier Picard,et al.  Cooperative Agent Model Instantiation to Collective Robotics , 2004, ESAW.

[9]  Mark Weiser,et al.  Some computer science issues in ubiquitous computing , 1993, CACM.

[10]  Juan Carlos Augusto,et al.  Ambient Intelligence—the Next Step for Artificial Intelligence , 2008, IEEE Intelligent Systems.

[11]  Vincent Chevrier,et al.  A new swarm mechanism based on social spiders colonies: From web weaving to region detection , 2003, Web Intell. Agent Syst..

[12]  Andrei Olaru,et al.  Emergence in Cognitive Multi-Agent Systems , 2009 .

[13]  FoxArmando,et al.  The Interactive Workspaces Project , 2002 .

[14]  Ichiro Satoh,et al.  Mobile Agents for Ambient Intelligence , 2004, MMAS.

[15]  Franco Zambonelli,et al.  The LAICA project: supporting ambient intelligence via agents and ad-hoc middleware , 2005, 14th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprise (WETICE'05).

[16]  Markus Endler,et al.  Ambient Intelligence : Management of Distributed and Heterogeneous Context Knowledge , 2008 .

[17]  Armando Fox,et al.  The Interactive Workspaces Project: Experiences with Ubiquitous Computing Rooms , 2002, IEEE Pervasive Comput..

[18]  Jean-Pierre Mano,et al.  Bio-inspired Mechanisms for Artificial Self-organised Systems , 2006, Informatica.

[19]  Marie-Pierre Gleizes,et al.  Self-Organisation and Emergence in MAS: An Overview , 2006, Informatica.