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Special Issue: Negotiation and Scheduling Mechanisms for Multiagent Systems

Journal Article


Abstract


  • Automated negotiation among software agents is becoming increasingly important because automated interactions among agents can occur in many different contexts. For instance, designing agents that can negotiate deals on behalf of human traders is essential for developing the next generation of e-commerce and e-trading systems. More recently, bargaining and negotiation mechanisms have been applied as economic models to resource management in a Grid computing platform. Additionally, recent studies seem to focus on completely open and highly uncertain environments in which agent systems are applied to the real world. In engineering practical negotiation agents, issues such as reliability and robustness are essential in addition to the more traditional notion of rationality (in the sense of being utility optimizing). Additionally, scheduling in multiagent systems is essential in team formation for task allocation and cooperation. With agents assuming different roles, scheduling among agents is needed for forming teams to effectively accomplish simultaneous joint tasks in dynamic environments.

    This special issue brings together a collection of papers addressing issues of designing both negotiation mechanisms and scheduling mechanisms for multiagent systems into the same forum. It presents recent research achievements and studies on understanding, analyzing, as well as developing (societies of) agents for negotiation, conflict resolution, and e-commerce systems. In this special issue, six papers were accepted as full papers. Some of the issues addressed in these six papers include:

    formulating and devising a (Markov Chain) decision making heuristic to guide negotiation agents operating in a dynamic environment in reaching early consensus in a bargaining process.

    designing a retractable contract net protocol for distributed scheduling of agents with potentially conflicting interests.

    designing a decentralized multi-attribute negotiation model based on alternating-offer protocol among self-interested agents.

    developing a multiple-issue negotiation protocol among nonlinear utility agents to work on highly complex utility spaces.

    developing a mechanism that enables agents to flexibly choose team duration and members based on fuzzy rules.

    designing a multilateral negotiation protocol with the consideration of inter-dependencies among multi-issues to help cooperative agents in finding optimal solutions during negotiation.

UOW Authors


  •   Sim, Kwang Mong (external author)
  •   Zhang, Minjie
  •   Ito, Takayuki (external author)

Publication Date


  • 2008

Citation


  • Sim, K., Zhang, M. & Ito, T. (2008). Special Issue: Negotiation and Scheduling Mechanisms for Multiagent Systems. Multiagent and Grid Systems, 4 (1), 1-3.

Ro Metadata Url


  • HTTP://WWW.IOSPRESS.NL

Number Of Pages


  • 2

Start Page


  • 1

End Page


  • 3

Volume


  • 4

Issue


  • 1

Place Of Publication


  • http://www.iospress.nl/html/15741702.php

Abstract


  • Automated negotiation among software agents is becoming increasingly important because automated interactions among agents can occur in many different contexts. For instance, designing agents that can negotiate deals on behalf of human traders is essential for developing the next generation of e-commerce and e-trading systems. More recently, bargaining and negotiation mechanisms have been applied as economic models to resource management in a Grid computing platform. Additionally, recent studies seem to focus on completely open and highly uncertain environments in which agent systems are applied to the real world. In engineering practical negotiation agents, issues such as reliability and robustness are essential in addition to the more traditional notion of rationality (in the sense of being utility optimizing). Additionally, scheduling in multiagent systems is essential in team formation for task allocation and cooperation. With agents assuming different roles, scheduling among agents is needed for forming teams to effectively accomplish simultaneous joint tasks in dynamic environments.

    This special issue brings together a collection of papers addressing issues of designing both negotiation mechanisms and scheduling mechanisms for multiagent systems into the same forum. It presents recent research achievements and studies on understanding, analyzing, as well as developing (societies of) agents for negotiation, conflict resolution, and e-commerce systems. In this special issue, six papers were accepted as full papers. Some of the issues addressed in these six papers include:

    formulating and devising a (Markov Chain) decision making heuristic to guide negotiation agents operating in a dynamic environment in reaching early consensus in a bargaining process.

    designing a retractable contract net protocol for distributed scheduling of agents with potentially conflicting interests.

    designing a decentralized multi-attribute negotiation model based on alternating-offer protocol among self-interested agents.

    developing a multiple-issue negotiation protocol among nonlinear utility agents to work on highly complex utility spaces.

    developing a mechanism that enables agents to flexibly choose team duration and members based on fuzzy rules.

    designing a multilateral negotiation protocol with the consideration of inter-dependencies among multi-issues to help cooperative agents in finding optimal solutions during negotiation.

UOW Authors


  •   Sim, Kwang Mong (external author)
  •   Zhang, Minjie
  •   Ito, Takayuki (external author)

Publication Date


  • 2008

Citation


  • Sim, K., Zhang, M. & Ito, T. (2008). Special Issue: Negotiation and Scheduling Mechanisms for Multiagent Systems. Multiagent and Grid Systems, 4 (1), 1-3.

Ro Metadata Url


  • HTTP://WWW.IOSPRESS.NL

Number Of Pages


  • 2

Start Page


  • 1

End Page


  • 3

Volume


  • 4

Issue


  • 1

Place Of Publication


  • http://www.iospress.nl/html/15741702.php