Topic
Multi-agent system
About: Multi-agent system is a research topic. Over the lifetime, 27978 publications have been published within this topic receiving 465191 citations. The topic is also known as: multi-agent systems & multiagent system.
Papers published on a yearly basis
Papers
More filters
TL;DR: It is established that, under the assumptions that each agent is asymptotically null controllable with bounded controls and that the network is connected or jointly connected, semi-global leader-following consensus of the multi-agent system can be achieved.
Abstract: This paper investigates the problem of leader-following consensus of a linear multi-agent system on a switching network. The input of each agent is subject to saturation. Low gain feedback based distributed consensus protocols are developed. It is established that, under the assumptions that each agent is asymptotically null controllable with bounded controls and that the network is connected or jointly connected, semi-global leader-following consensus of the multi-agent system can be achieved. Numerical examples are presented to illustrate this result.
456 citations
Proceedings Article•
29 Jun 2000
455 citations
Book•
31 Aug 2000TL;DR: This book discusses how to represent Knowledge Representation in Agent-Based Concurrent Design and Manufacturing Systems and some of the approaches taken to achieve this goal.
Abstract: Part One: Introduction Chapter 1: General Introduction. 1.1 Motivation. 1.2 Book Organization. 1.3 How To Use This Book. Chapter 2: Collaborative Design and Manufacturing. 2.1 Introduction. 2.2 Engineering Design. 2.3 Advanced Manufacturing Systems. 2.4 Next Generation Collaborative Design and Manufacturing Systems. Chapter 3: DAI and Agents. 3.1 Classic AI and DAI. 3.2 Research Themes in DAI. 3.3 Models of DAI Systems. 3.4 Objects vs. Agents. 3.5 Different Types of Agents. 3.6. Why Agents for Collaborative Design and Manufacturing. Part Two: Important Issues Chapter 4: Knowledge Representation in Agent-Based Concurrent Design and Manufacturing Systems. 4.1 Introduction 4.2 What needs to be Represented. 4.3 How to Represent Knowledge in Agent-Based Systems. 4.4 Research Literature and Further References. Chapter 5: Learning in Agent-Based Concurrent Design and Manufacturing Systems. 5.1 Introdution. 5.2 Why to Learn. 5.3 Single-Agent Learning or Multi-Agent Learning. 5.4 When to Learn. 5.5 Where to Learn. 5.6 What is to be Learned. 5.7 How to Learn. 5.8 Examples. 5.9 Research Literature and Additional References. Chapter 6: Agent Structures. 6.1 Introduction. 6.2 Desirable characteristics of an agent. 6.3 Essential Modules (Components) for agents. 6.4 Different Approaches. 6.5 Comparison of Different Approaches. 6.6 Research Literature and further References. Chapter 7: Multi-Agent System Architectures. 7.1 Introduction. 7.2 Organization and System Architectures. 7.3 Different Approaches. 7.4 Select a suitable system architecture for a specific application. 7.5 Research Literature and Additional Readings. Chapter 8: Communication, Cooperation and Coordination. 8.1 Introduction. 8.2 Communication. 8.3 Coordination. 8.4 Cooperation. 8.5 Coordination, Cooperation and Communication. 8.6 Research Literature and Further References. Chapter 9: Collaboration, Task Decompsition and Allocation. 9.1 Introduction. 9.2 Different Approaches for Task Decomposition and Allocation. 9.3 Coordinated Task Allocation by Mediation. 9.4 Distributed Task Allocation. 9.5 Task Decomposition in MetaMorph: an Example. 9.6 Research Literature and Additional References. Chapter 10: Negotiation and Conflict Resolution. 10.1 Introduction. 10.2 Classification of Negotiation Categories. 103. Negotiation Protocols. 10.4 Negotiation Strategies. 10.5 Negotiation for Conflict Resolution. 10.6 Examples in Concurrent Design and Manufacturing. 10.7 Research Literature and Additional Information. Chapter 11: Ontology Problems. 11.1 Introduction. 11.2 What is Ontology? 11.3 Ontology and Knowledge Sharing. 11.4 Ontology Problems in Concurrent Design and Manufacturing. 11.5 Related concepts, Theories and Methods. 11.6 Ontolingua: A System for Managing Portable Ontologies. 11.7 Research Literature and Additional References. Chapter 12: Other Important Issues. 12.1 Introduction. 12.2 Agent Encapsulation. 12.3 Human machine integration (human participation). 12.4 System dynamics. 12.5. Design and manufacturability assessments. 12.6 Integration of manufacturing Planning, Scheduling and Execution. 12.7 Distributed Dynamic Scheduling. 12.8 Enterprise Integration and Supply Chain Management. 12.9 Legacy problem. 12.10 External interfaces. Part Three: Agent-Based Systems for Engineering Design & Manufacturing Chapter 13: Agent-Based Engineering Design Systems. 13.1 Introduction. 13.2 PACT (PACE) 13.3 SHARE (DSC) 13.4 First-Link, Next-Link and Process Link. 13.5 DIDE. 13.6 SiFAs. 13.7 RAPPID. 13.8 Other projects. 13.9 Summary. Chapter 14: Agent-Based manufacturing Planning, Scheduling and Control. 14.1 Introduction. 14.2 MetaMorph. 14.3 AARIA. 14.4 ADDYMS. 14.5 Other Projects. 14.6 Summary. Chapter 15: Enterprise Integration and Supply Chain Management. 15.1 Introduction. 15.2 ISCM. 15.3 CIIMPLEX. 15.4 MetaMorph II. 15.5 AIMS. 15.6 Other Projects. 15.7 Summary. Part Five: Developing Agent-Based Design and Manufacturing Systems Chapter 16: Methodology, Standards, Tools, Languages, and Frameworks. 16.1 Introduction. 16.2 Tools and Framework. 16.3 Methodology, Languages, and Standards. 16.4 Further references. Chapter 17: Building Agent-Based Design and Manufacturing Systems. 17.1 Introduction. 17.2 Selecting or developing an agent architecture. 17.3 Selecting an approach for agent organization. 17.4 Selecting or developing protocols for inter-agent communication. 17.5 Developing mechanisms for cooperation, coordination and negotiation. 17.6 Selecting platforms, tools and languages. 17.7 Agent-Oriented Design and Analysis. 17.8 Simulation and Implementation. 17.9 Testing, Debugging and Evaluation. Chapter 2: Collaborative Design and Manufacturing, Chapter 3: DAI and Agents. Part Two: Important Issues Chapter 4: Knowledge Representation in Agent-Based Concurrent Design and Manufacturing Systems. Chapter 5: Learning in Agent-Based Concurrent Design and Manufacturing Systems. Chapter 6: Agent Structures. Chapter 7: Multi-Agent System Architectures. Chapter 8: Communication, Cooperation and Coordination. Chapter 9: Collaboration, Task Decomposition and Allocation. Chapter 10: Negotiation and Conflict Resolution. Chapter 11: Ontology Problems. Chapter 12: Other Important Issues. Part Three: Agent-Based Systems for Engineering Design and Manufacturing Chapter 13: Agent-Based Engineering Design Systems. Chapter 14: Agent-Based manufacturing Planning, Scheduling and Control. Chapter 15: Enterprise Integration and Supply Chain Management. Part Four: Developing Agent-Based Design and Manufacturing Systems Chapter 16: Methodlogy, Standards, Tools, Languages, and Frameworks
455 citations
TL;DR: In this note, the robust output regulation problem of a multi-agent system is considered and an internal model based distributed control scheme is adopted to achieve the objectives of asymptotic tracking and disturbance rejection in an uncertain multi- agent system.
Abstract: In this note, the robust output regulation problem of a multi-agent system is considered. An internal model based distributed control scheme is adopted to achieve the objectives of asymptotic tracking and disturbance rejection in an uncertain multi-agent system where both the reference inputs and disturbances are generated by an exosystem.
450 citations
Book•
01 Jan 2008
TL;DR: It is argued that whereas open societies supports openness and flexibility, closed societies support stability and trustfulness, and two classes of societies are suggested that better balance the trade-off between these aspects.
Abstract: This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Workshop on Engineering Societies in the Agents World, ESAW 2008, held in Saint-Etienne, France, in September 2008. The 13 revised full papers presented together with 1 invited long paper were carefully selected from 29 submissions during two rounds of reviewing and revision. The papers are organized in topical sections on organisations and norm-governed systems, privacy and security, agent-oriented software engineering, emergence and self-organisation, as well as simulation.
449 citations