Agents' Advanced Features for Negotiation and Coordination

Agent-based systems suitable for dealing with applications where the environment is both dynamic and populated with competitors demand for sophisticated characteristics including adaptation, negotiation and coordination. We here briefly smnmarize some proposals on agents' negotiation capabilities including adaptation throngh reinforcement learning as well as qualitative multi-criteria negotiation and coalition formation protocols. Also, and inspired by robosoccer domain, some basic hints on knowledge representation for agents' team work are here described. All those proposals on automatic negotiation have been implemented through agent-based systems for different application domains (MACIV, SMACE, ForEV).

[1]  Tuomas Sandholm,et al.  Distributed rational decision making , 1999 .

[2]  Adolfo Steiger-Garção,et al.  Maciv: A DAI Based Resource Management System , 1996, Appl. Artif. Intell..

[3]  Luís Paulo Reis,et al.  FC Portugal Team Description: RoboCup 2000 Simulation League Champion , 2000, RoboCup.

[4]  R. Lewicki.  Essentials of Negotiation , 1996 .

[5]  Leonid Sheremetov,et al.  Weiss, Gerhard. Multiagent Systems a Modern Approach to Distributed Artificial Intelligence , 2009 .

[6]  Amy L. Lansky,et al.  Reactive Reasoning and Planning , 1987, AAAI.

[7]  Michael P. Wellman,et al.  Market-aware agents for a multiagent world , 1998, Robotics Auton. Syst..

[8]  Pattie Maes,et al.  Agent-mediated Electronic Commerce : A Survey , 1998 .

[9]  Manuela M. Veloso,et al.  Task Decomposition, Dynamic Role Assignment, and Low-Bandwidth Communication for Real-Time Strategic Teamwork , 1999, Artif. Intell..

[10]  Pablo Noriega,et al.  A Framework for Argumentation-Based Negotiation , 1997, ATAL.

[11]  Nicholas R. Jennings,et al.  Negotiation decision functions for autonomous agents , 1998, Robotics Auton. Syst..

[12]  Peter Stone,et al.  Layered Learning in Multiagent Systems , 1997, AAAI/IAAI.

[13]  Sandip Sen,et al.  Learning in multiagent systems , 1999 .

[14]  Munindar P. Singh,et al.  Formal methods in DAI: logic-based representation and reasoning , 1999 .

[15]  Anand S. Rao,et al.  An architecture for real-time reasoning and system control , 1992, IEEE Expert.

[16]  Hector J. Levesque,et al.  On Acting Together , 1990, AAAI.

[17]  Ana Paula Rocha,et al.  Agents Advanced Features for Negotiation in Electronic Commerce and Virtual Organisations Formation Processes , 2001, AgentLink.

[18]  Nicholas R. Jennings,et al.  Efficient mechanisms for the supply of services in multi-agent environments , 1998, ICE '98.

[19]  Nicholas R. Jennings,et al.  Intelligent agents: theory and practice , 1995, The Knowledge Engineering Review.

[20]  Milind Tambe,et al.  Towards Flexible Teamwork , 1997, J. Artif. Intell. Res..

[21]  Eugénio C. Oliveira,et al.  A Platform for Electronic Commerce with Adaptive Agents , 2000, AMEC.

[22]  Sarit Kraus,et al.  Collaborative Plans for Complex Group Action , 1996, Artif. Intell..

[23]  Richard S. Sutton,et al.  Introduction to Reinforcement Learning , 1998 .

[24]  Nicholas R. Jennings,et al.  Determining successful negotiation strategies: an evolutionary approach , 1998, Proceedings International Conference on Multi Agent Systems (Cat. No.98EX160).

[25]  Michael Wooldridge,et al.  Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence , 1999 .

[26]  Luís Paulo Reis,et al.  Situation Based Strategic Positioning for Coordinating a Team of Homogeneous Agents , 2000, Balancing Reactivity and Social Deliberation in Multi-Agent Systems.