E. Osawa and M. Tokoro. Collaborative Plan Construction for Multi-Agent Mutual Planning. In E.Werner and Y.Demazeau, DECENTRALIZED A.I.3. Elsevier /North Holland, 1992.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....papers. In coordination, the use of communication is a part of planning and action. It concerns the development of MAS where speech acts are often involved [15, 16, 3, 4, 9] The second aspect comes from the study of interactions which have been of continuing interest in multi agent planning [5, 8, 17, 11, 14, 7]. This mainly focuses on how planning agents can positively cooperate in distributed environments. The last aspect has been studied in [17, 6, 2] The main criticisms to be made about most of the planning models proposed in Multi Agent research are: ffl The formal cooperation models are ....

E. Osawa and M. Tokoro. Collaborative Plan Construction for Multi-Agent Mutual Planning. In E.Werner and Y.Demazeau, DECENTRALIZED A.I.3. Elsevier /North Holland, 1992.

....generally require agreement on joint goals and intentions, and plan execution will generally require coordination between agents. It is well recognized that collaborative problem solving requires careful co ordination and synchronization of agent activity [ Bratman, 1991; Levesque et al. 1990; Osawa and Tokoro, 1991 ] and we rely on communication between agents to achieve the common knowledge necessary for this. Dealing with teams rather than individual agents leads to questions such as how to form a suitably qualified team for a task (team formation) how to synchronize the adoption of joint goals and ....

E. Osawa and M. Tokoro. Collaborative plan construction for multiagent mutual planning. In Proceedings of the Third European Workshop on Modelling Autonomous Agents in a Multi-Agent World. Kaiserlauten, Germany, 1991.

....specify the means of satisfying joint goals; and (d) committed joint plans or joint intentions, adopted as a response to a joint goal or an external event. It is well recognized that collaborative problem solving requires careful co ordination and synchronization of agent activity [ Bratman, 1991; Osawa and Tokoro, 1992 ] and we rely on communication between agents to achieve the common knowledge necessary for this. Our joint plan representation implicitly captures knowledge about the communication and synchronization actions necessary for team activity, and execution of a joint plan is defined to ensure that ....

E. Osawa and M. Tokoro. Collaborative plan construction for multiagent mutual planning. In Y. Demazeau and E. Werner, editors, Decentralized A.I. -- Proceedings of the Third European Workshop on Modelling Autonomous Agents and Multi-Agent Worlds, Amsterdam, The Netherlands, 1992. Elsevier Science Publishers.

....(one hopes) by the traffic signs and road rules. In this paper we use joint intentions to capture the mental properties which characterize team activity. It is well recognized that collaborative problem solving requires careful co ordination and synchronization of agent activity [ Bratman, 1992; Osawa and Tokoro, 1992 ] and we rely on communication between agents to achieve the common knowledge necessary for this. Our joint plan representation implicitly captures knowledge about the communication and synchronization acts necessary for team activity, and joint plan execution is defined to ensure that these ....

E. Osawa and M. Tokoro. Collaborative plan construction for multiagent mutual planning. In Y. Demazeau and E. Werner, editors, Decentralized A.I. -- Proceedings of the Third European Workshop on Modelling Autonomous Agents and Multi-Agent Worlds, Amsterdam, The Netherlands, 1992. Elsevier Science Publishers.

....presented in the literature, namely the importance of plans and means end reasoning amongst social agents. The analysis of joint intentions and the design of collaborating rational agents (or more appropriately rational societies) is by no means complete. The formation of joint mental attitudes [ Osawa and Tokoro, 1992 ] the communication and negotiation involved in their formation, and the synchronization of these joint mental attitudes will be the emphasis of our future work in this area. A collaborative multi agent system based on the BDI architecture is currently being implemented. It makes use of ....

E. Osawa and M. Tokoro. Collaborative Plan Construction for Multi-Agent Mutual Planning. In Y. Demazeau and E. Werner, editors, Decentralized A.I. -- Proceedings of the Third European Workshop on Modelling Autonomous Agents and Multi-Agent Worlds. Elsevier Science Publishers, Amsterdam, The Netherlands, 1992.

....of designing multi agent systems by many researchers. Some have been focusing on defining the notions of joint mental attitudes [ Bratman, 1992; Cohen and Levesque, 1990; Rao and Georgeff, 1991 ] some on defining languages for describing team activity [ Rao et al. 1992; Kinny et al. 1992; Osawa and Tokoro, 1992; Durfee, 1988 ] some on defining the social structures and interactions within a group of agents [ Ishida, 1992; Moses and Tenenholtz, 1992; Werner, 1990 ] and many others on other aspects of this DAI problem. We have presented some initial ideas regarding a general team oriented programming ....

E. Osawa and M. Tokoro. Collaborative Plan Construction for MultiAgent Mutual Planning. In Y. Demazeau and E. Werner, editors, Decentralized A.I. -- Proceedings of the Third European Workshop on Modeling Autonomous Agents and Multi-Agent Worlds. Elsevier Science Publishers, Amsterdam, The Netherlands, 1992.

....issues related to team formation. In a companion paper [ Sonenberg et al. 1992 ] we consider some of the issues related to joint plan execution. As in the single agent case, compiled joint plans play an important role in planned team activity. The general problem of collaborative planning [ Osawa and Tokoro, 1992; Rosenschein and Genesereth, 1985; Zlotkin and Rosenschein, 1991 ] requires teams to communicate their respective beliefs, goals, and intentions, and in case of conflicts, negotiate on them. In real time domains, where the rate of change of the world is comparable to the time it takes to ....

....In this sense our work is similar to the work of Halpern and Moses [ Halpern and Moses, 1990 ] which deals with the pragmatics of achieving common knowledge. The team formation algorithms used here have the same flavor as some of the existing work in DAI [ Edward H. Durfee, 1989; Smith, 1989; Osawa and Tokoro, 1992 ] There are a few major differences. First, the contract net approach has no concept of teams agents are sub contractors for executing specific actions with no knowledge of other executors. Second, contract net does not use pre compiled knowledge as a means for reducing the complexity of the ....

E. Osawa and M. Tokoro. Collaborative Plan Construction for Multi-Agent Mutual Planning. In Y. Demazeau and E. Werner, editors, Decentralized A.I. -- Proceedings of the Third European Workshop on Modelling Autonomous Agents and Multi-Agent Worlds. Elsevier Science Publishers, Amsterdam, The Netherlands, 1992.

....resources. 1 1. Introduction 2 1 Introduction One of the major goals of distributed artificial intelligence is to obtain, through interactions between agents, effective and useful emergent decisions or computations fromm relatively simple actions by each agent in a given environment (e.g. [5, 13, 14, 15, 26]) Research toward this goal faces the difficult challenge of designing each agent s actions and interactions with others in an ever changing environment to obtain a desired macroscopic computation or action. These issues and challenges in distributed artificial intelligence are becoming ....

Osawa, E. and Tokoro, M.: Collaborative Plan Construction for Multiagent Mutual Planning. In the Proceedings of the 3rd European Workshop on Modeling Autonomous Agents in a Multi--Agent World, (MAAMAW--91), 1991.

....knowledge of the other to capture the exact meaning of an utterance [Numaoka and Tokoro 90] Whenever there is some inconsistent information, the speakers must exchange further information in order to resolve the inconsistency. Other examples can be seen in multi agent systems [Bond and Gasser 88, Osawa and Tokoro 91] where we have different agents with different knowledge bases that must be partially shared and versioning systems as used in software development tools and engineerPage 1 ing databases [Katz 90] where we have different versions of the same object. A ground for extensive use of the notion ....

Ei-Ichi Osawa and Mario Tokoro. Collaborative Plan Construction for Multiagent Mutual Planning. Technical Report SCSL-TR-91-008, Sony Computer Science Laboratory, August 1991. Also in Proceedings of The Third European Workshop on Modeling Autonomous Agents and Multi Agent Worlds, Kaiserslautern, Germany.

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