Tse-Hsin Liu

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This paper describes techniques developed for conflict detection during plan integration. Agents' intensions are represented with intended goal structure (IGS) and the E-PERT diagrams. Conflicts are classified as goal, plan, and belief conflicts. Before integrating individual plans and detecting plan conflicts, agents first detect and eliminate their goal(More)
The process of representing and classifying conflicts described in this paper forms the basis for an in-progress implementation of a domain-independent conflict management framework for multi-agent environments. A three layered representation and classification of conflict is employed (i.e. goal, plan, belief). This division allows agents to trace the(More)
The organization structure of Multi-Agent Systems (MAS) constrains the mechanisms that may be used for coordinating the agents' decision-making process. As researchers develop MAS that allow agents to dynamically reorganize how to interact with each other, the design of the agents must provide the ability to operate under different organizations. This paper(More)
In the past two decades, researchers have developed various strategies to address MAS problem solving activities, i.e., agent organization construction, plan generation, task allocation, plan integration, and plan execution. Strategy, in this sense is the manner in which the agents perform their decision-making processes in conjunction with the manner in(More)
To meet the requirements of dynamic and uncertain environments, Sensible Agents are capable of dynamically changing their organizational structures by modifying their roles, which are represented as their autonomy levels (e.g. command-driven, consensus, locally autonomous, and master). Maintaining correct knowledge of the current group membership is(More)
A Multi-Agent System can be seen as a group of entities interacting to achieve individual or collective goals. In the past two decades, researchers have developed various MAS architectures, one being the Sensible Agent (SA) model (Barber 1996). Because one specific level of autonomy is not suitable for all situations in dynamic environments, SAs are(More)
This paper describes techniques developed for conflict detection during plan integration based on E-PERT diagrams. PERT diagrams were originally developed in 1980s for project management to provide a global consistent view of parallel activities within a project. We extended PERT diagrams for use in the plan integration activity within multi-agent systems.(More)
Research Overview Multi-agent Systems (MAS) meld the research fields of Distributed Computing and Artificial Intelligence into a field called Distributed Artificial Intelligence (DAI). MAS fit nicely into domains that are naturally distributed and require automated reasoning to solve problems. Sensible Agents are one MAS designed for domains with a high(More)