Supporting social knowledge in multiagent systems through event tracing

Social knowledge is one of the key aspects of MAS in order to face complex problems in dynamical environments. However, it is usually incorporated without specific support on behalf of the platform and that does not let agents take all of the advantage of this social knowledge. At present time, the authors of this paper are working in a general tracing system, which could be used by agents in the system to trace other agents’ activity and that could be used as an alternative way for agents to perceive their environment. This paper presents first results of this work, consisting of the requirements which should be taken into account when designing such a tracing system.

[1]  K. Suzanne Barber,et al.  Comprehending agent software , 2005, AAMAS '05.

[2]  Agustín Espinosa Minguet,et al.  MAMSY: A Management Tool for Multi-Agent Systems , 2009, PAAMS.

[3]  Tibor Bosse,et al.  Specification and Verification of Dynamics in Cognitive Agent Models , 2006, 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology.

[4]  Hyacinth S. Nwana,et al.  Visualising and debugging distributed multi-agent systems , 1999, AGENTS '99.

[5]  Michal Pechoucek,et al.  Social knowledge in multi-agent systems , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[6]  Hyacinth S. Nwana,et al.  The ZEUS Agent Building Tool-kit , 1998 .

[7]  Tibor Bosse,et al.  Tools for analyzing intelligent agent systems , 2008, Web Intell. Agent Syst..

[8]  Michael Winikoff,et al.  Current Issues in Multi-Agent Systems Development ( Invited Paper ) , 2007 .

[9]  D. Luckham.  The Power of Events , 2002 .

[10]  K. Suzanne Barber,et al.  Debugging Agent Behavior in an Implemented Agent System , 2004, PROMAS.

[11]  Danilo Pianini,et al.  Jason: a Java-based interpreter for an extended version of AgentSpeak - Part 2 , 2011 .

[12]  Antonio F. Gómez-Skarmeta,et al.  Towards an Approach for Debugging MAS Through the Analysis of ACL Messages , 2004, MATES.

[13]  Michael Winikoff,et al.  Adding debugging support to the Prometheus methodology , 2005, Eng. Appl. Artif. Intell..

[14]  Rafael H. Bordini,et al.  Jason and the Golden Fleece of Agent-Oriented Programming , 2005, Multi-Agent Programming.

[15]  Antonio F. Gómez-Skarmeta,et al.  On the Application of Clustering Techniques to Support Debugging Large-Scale Multi-Agent Systems , 2006, PROMAS.