Journal ArticleDOI
Collaboration strategy for software dynamic evolution of multi-agent system
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TLDR
A method of task decomposition and collaboration of agents by improved contractNet protocol is introduced and analysis on the result of the experiments is performed to verify the improved contract net protocol can greatly increase the efficiency of communication and collaboration in multi-agent system.Abstract:
As the ability of a single agent is limited while information and resources in multi-agent systems are distributed, cooperation is necessary for agents to accomplish a complex task. In the open and changeable environment on the Internet, it is of great significance to research a system flexible and capable in dynamic evolution that can find a collaboration method for agents which can be used in dynamic evolution process. With such a method, agents accomplish tasks for an overall target and at the same time, the collaborative relationship of agents can be adjusted with the change of environment. A method of task decomposition and collaboration of agents by improved contract net protocol is introduced. Finally, analysis on the result of the experiments is performed to verify the improved contract net protocol can greatly increase the efficiency of communication and collaboration in multi-agent system.read more
Citations
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Book ChapterDOI
A Multi-task Decomposition and Reorganization Scheme for Collective Computing Using Extended Task-Tree
TL;DR: A task decomposition model based on extended task-tree is proposed and a series of pruning and reorganization algorithms are proposed, and the performance of the algorithms is analyzed and evaluated.
Journal ArticleDOI
An Extendable Layered Architecture for Collective Computing to Support Concurrent Multi-sourced Heterogeneous Tasks
TL;DR: A collective computing architecture for supporting concurrent multi-sourced heterogeneous tasks with extensibility, loads balance, centralized dispatch and low delay communication is presented and a prototype system is implemented for proving that the architecture can perform multi-Sourced heterogeneity tasks well.
Book ChapterDOI
A Collective Computing Architecture Supporting Heterogeneous Tasks and Computing Devices
TL;DR: A collective computing architecture that supports heterogeneous tasks and computing devices, which uses a series of centralized managers for analysing and distributing tasks and controlling heterogeneous computing devices is presented.
References
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Journal ArticleDOI
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
TL;DR: In this article, the contract net protocol has been developed to specify problem-solving communication and control for nodes in a distributed problem solver, where task distribution is affected by a negotiation process, a discussion carried on between nodes with tasks to be executed and nodes that may be able to execute those tasks.
Book
Developing Multi-Agent Systems with JADE
TL;DR: JADE (Java Agent Development Framework) is a software framework to make easy the development of multi-agent applications in compliance with the FIPA specifications and can be considered a middle-ware that implements an efficient agent platform and supports theDevelopment of multi agent systems.
Book
Management Information Systems: Managing the Digital Firm
Kenneth C. Laudon,Jane P. Laudon +1 more
TL;DR: The Laudons' Management Information Systems: Managing the Digital Firm, seventh edition, is an indispensable text for anyone who wants to succeed in the e-business world.
Journal ArticleDOI
Negotiation as a Metaphor for Distributed Problem Solving
Randall Davis,Reid G. Smith +1 more
TL;DR: A framework called the contract net is presented that specifies communication and control in a distributed problem solver, and comparisons with planner, conniver, hearsay-ii, and pup 6 are used to demonstrate that negotiation is a natural extension to the transfer of control mechanisms used in earlier problem-solving systems.
Journal ArticleDOI
Multi-agent oriented programming with JaCaMo
TL;DR: This paper shows the full potential of multi-agent systems as a programming paradigm and builds upon three existing platforms: Jason for programming autonomous agents, Moise for programming agent organisations, and CArtAgO for programming shared environments.
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