Monitoring and synchronization for teamwork in GPGP

Authors:
Sherief Abdallah;Nevin Darwish;Osman Hegazy
Affiliations:
Cairo University, Egypt;Cairo University, Egypt;Cairo University, Egypt
Venue:
Proceedings of the 2002 ACM symposium on Applied computing
Year:
2002

Citing 6
Cited 1

SOAR: an architecture for general intelligence

Artificial Intelligence
Collaborative plans for complex group action

Artificial Intelligence
Evolution of the GPGP Domain-Independent Coordination Framework

Evolution of the GPGP Domain-Independent Coordination Framework
Investigating Interactions Between Agent Conversations and Agent Control Components

Investigating Interactions Between Agent Conversations and Agent Control Components
Environment centered analysis and design of coordination mechanisms

Environment centered analysis and design of coordination mechanisms
Towards flexible teamwork

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Evolution of the GPGP/TÆMS Domain-Independent Coordination Framework

Autonomous Agents and Multi-Agent Systems

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Abstract

This paper addresses the problem of coordinating a group of agents involved in a team. To achieve flexible teamwork, agents should synchronize their work and monitor their performance to avoid redundant work. Generalized Partial Global Planning (GPGP) is one of the most common techniques used in coordinating cooperative agents, however, no technique is without limitations. Our work adopts some concepts of STEAM to overcome some of GPGP limitations. In particular, we suggest adding coordination mechanisms to GPGP and extending TAEMS, the model underlying GPGP, to facilitate such mechanisms. The work has successfully been implemented using JAF architecture. The coordination mechanisms are written as Soar rules where we implemented a JAF component that implements the Soar engine. Analysis of a case study is presented along with experimental results to illustrate the power of the proposed work.