Search results for: teamwork-in-multi-agent-systems

Teamwork in Multi Agent Systems

Author : Barbara Dunin-Keplicz
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What makes teamwork tick? Cooperation matters, in daily life and in complex applications. After all, many tasks need more than a single agent to be effectively performed. Therefore, teamwork rules! Teams are social groups of agents dedicated to the fulfilment of particular persistent tasks. In modern multiagent environments, heterogeneous teams often consist of autonomous software agents, various types of robots and human beings. Teamwork in Multi-agent Systems: A Formal Approach explains teamwork rules in terms of agents' attitudes and their complex interplay. It provides the first comprehensive logical theory, TeamLog, underpinning teamwork in dynamic environments. The authors justify design choices by showing TeamLog in action. The book guides the reader through a fascinating discussion of issues essential for teamwork to be successful: What is teamwork, and how can a logical view of it help in designing teams of agents? What is the role of agents' awareness in an uncertain, dynamic environment? How does collective intention constitute a team? How are plan-based collective commitments related to team action? How can one tune collective commitment to the team's organizational structure and its communication abilities? What are the methodological underpinnings for teamwork in a dynamic environment? How does a team and its attitudes adjust to changing circumstances? How do collective intentions and collective commitments arise through dialogue? What is the computational complexity of TeamLog? How can one make TeamLog efficient in applications? This book is an invaluable resource for researchers and graduate students in computer science and artificial intelligence as well as for developers of multi-agent systems. Students and researchers in organizational science, in particular those investigating teamwork, will also find this book insightful. Since the authors made an effort to introduce TeamLog as a conceptual model of teamwork, understanding most of the book requires solely a basic logical background.

Intelligent Agents and Multi Agent Systems

Author : Jaeho Lee
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Five years ago, with excitement and uncertainty, we witnessed the birth of PRIMA (Paci?c Rim International Workshop on Multi-Agents). The ?rst PRIMA in 1998 has now grown into PRIMA 2003, the 6th Paci?c Rim Inter- tional Workshop on Multi-Agents in Seoul, Korea. During a period of ?ve years, the notion of agent research has grown so much that we hear the term agent on a daily basis. Various ?elds such as business, the Web, software engineering, on-line games and such are now using the term agent as a placeholder, just like the term object is used in the object-oriented paradigm. On the other hand, the research area has extended toward real applications, such as the Semantic Web and ubiquitous computing. The themes of PRIMA 2003 re?ected the following trends: – agent-based electronic commerce, auctions and markets – agent architectures and their applications – agent communication languages, dialog and interaction protocols – agent ontologies – agent programming languages, frameworks and toolkits – agentcities – agents and grid computing – agents and peer computing –agentsandtheSemanticWeb – agents and Web services – arti?cial social systems – con?ict resolution and negotiation – evaluation of multi-agent systems – languages and techniques for describing (multi-)agent systems – meta modeling and meta reasoning – multi-agent planning and learning – multi-agent systems and their applications – social reasoning, agent modeling, and organization – standards for agents and multi-agent systems – teams and coalitions – ubiquitous agents

Intelligent Agents and Multi agent Systems

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Proceedings of the Twenty third AAAI Conference on Artificial Intelligence and the Twentieth Innovative Applications of Artificial Intelligence Conference

Author : American Association for Artificial Intelligence
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Teamcore Project Control of Agent Based Systems COABS Program

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An increasing number of agent-based systems now operate in complex dynamic environments, such as disaster rescue missions, monitoring/surveillance tasks, enterprise integration, and education/training environments. With this increasing population of available agents, we can expect another powerful trend: the reuse of specialized agents as standardized building blocks for large-scale systems. System designers can integrate these existing agents to construct new multi-agent systems capable of solving problems of greater complexity than those addressed by the individual agents themselves. Integrating agents to perform real-world tasks in a large-scale system remains difficult. As part of DARPA's Control of Agent-Based Systems (CoABS) program, the Teamcore project addressed this challenge of agent integration by focusing on general-purpose teamwork capabilities. Based on successful applications of teamwork to closed multiagent systems, the key hypothesis behind Teamcore is that teamwork among agents can enhance robust execution even among heterogeneous agents in an open environment. No matter how diverse the agents may be, if they act as team members, then we can expect them to act responsibility towards each other, to cover for each other's execution failures, and to exchange key information. This report describes key contributions of the Teamcore project in areas of teamwork theory, team monitoring, adjustable autonomy and team oriented programming.

Proceedings of the International Joint Conference on Artificial Intelligence

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ICMAS 95 First International Conference on Multi Agent Systems

Author : Victor Lesser
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June 12-14, 1995, San Francisco The first international conference on multiagent systems is organized as a joint effort of the North American Distributed Artificial Intelligence community, the Japanese Multiagent and Cooperative Computing community, and the European Modeling Autonomous Agents in a Multiagent World community, with support from AAAI and sanctioned by ECCAI. The Proceedings cover a broad spectrum of perspectives including artificial life, communications issues, and negotiation strategies. Topics cover: * Agent Architectures * Artificial Life (from a multiagent perspective) * Believable Agents * Cooperation, Coordination, and Conflict * Communcation Issues * Conceptual and Theoretical Foundations of Multiagent Systems * Development and Engineering Methodologies * Distributed Artificial Intelligence * Distributed Consensus and Algorithms for Multiagent Interaction * Distributed Search * Evaluation of Multiagent Systems * Integrated Testbeds and Development Environments * Intelligent Agents in Enterprise Integration Systems and Similar Types of Applications * Learning and Adaptation in Multiagent Systems * Multiagent Cooperative Reasoning from Distributed Heterogeneous Databases * Multiagent Planning and Planning for Multiagent Worlds * Negotiation Strategies (in both competitive and cooperative situations) * Organization, Organizational Knowledge, and Organization Self-Design * Practical Applications of Multiagent Systems (enterprises, robotics, sensing, manufacturing) * Resource Allocation in Multiagent Systems * Social Structures and their Signfiicance in Multiagent Systems * User Interface Issues for Multiagent Systems. Distributed for AAAI Press

Multi Agent Systems

Author : Nils Bulling
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This book constitutes the proceedings of the 12th European Conference on Multi-Agent Systems, EUMAS 2014, held in Prague, Czech Republic, in December 2014. The 21 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 79 submissions. They are organized in topical sections named: agent-based models, trust and reputation; coordination, coalitions and teamwork; logic and formal approaches; theories in practice and real-world problems; decision making, conflicts and agreements.

IJCAI 99

Author : International Joint Conferences on Artificial Intelligence
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IJCAI-99 is the Sixteenth International Joint Conference on Artificial Intelligence, sponsored by the International Joint Conferences on Artificial Intelligence, Inc. (IJCAII) and the Scandinavian AI societies: Danish AI Society (DAIS), Finnish AI Society (FAIS), Norwegian AI Society (NAIS) and the Swedish AI Society (SAIS). To organize IJCAI-99 a Nordic IJCAI Scientific Advisory Committee (NISAC) has been established. IJCAII sponsors biennial conferences on artificial intelligence, which are the main forums for presenting AI-research results to the international AI communities.

Proceedings

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Agent and Multi Agent Systems Technologies and Applications

Author : Piotr Jedrzejowicz
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This book constitutes the proceedings of the 4th KES International Symposium on Agent and Multi-Agent Systems, KES-AMSTA 2010, held in June 2010 in Gdynia, Poland. The discussed field is concerned with the development and analysis of AI-based problem-solving and control architectures for both single-agent and multiple-agent systems. Only 83 papers were selected for publication in both volumes and focus on topics such as: Multi-Agent Systems Design and Implementation, Negotiations and Social Issues, Web Services and Semantic Web, Cooperation, Coordination and Teamwork, Agent-Based Modeling, Simulation and Decision Making, Multi-Agent Applications, Management and e-Business, Mobile Agents and Robots, and Machine Learning.

Advances in Social Computing and Multiagent Systems

Author : Fernando Koch
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This book constitutes thoroughly revised, selected papers of the proceedings of the 6th International Workshop on Collaborative Agents Research and Development, CARE 2015 and the Second International Workshop on Multi-agent Foundations of Social Computing, MFSC 2015, held in Istanbul, Turkey, on May 4, 2015. Both Workshops were held in conjunction with AAMAS 2015. The 5 revised full papers of CARE and the 7 full papers of MFSC presented were carefully selected from 14 CARE and 10 MFSC submissions. Both workshop address issues in relevant areas of social computing such as smart societies, social applications, urban intelligence, intelligent mobile services, models of teamwork and collaboration.

Proceedings of the International IEEE Conference on Tools for Artificial Intelligence

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Resource Management in Socio Technical Systems A Multi Agent Coordination Framework

Author :
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Resource management in complex socio-technical systems is a central and crucial task. The many diverse components involved together with various constraints such as real-time conditions make it impossible to devise exact optimal solutions. In this article, we present an approach to the resource management problem based on the multiagent paradigm to be applied in the context of a shipboard command and control (C2) system. A general architecture for multiagent planning and scheduling for achieving a common shared goal together with a real-time simulation environment as well as a simulation test-bed using the agent teamwork approach is described.

Agent and Multi Agent Systems Technologies and Applications

Author : Piotr Jedrzejowicz
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The LNAI series reports state-of-the-art results in artificial intelligence research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies, LNAI has grown into the most comprehensive artificial intelligence research forum available. The scope of LNAI spans the whole range of artificial intelligence and intelligent information processing including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes -proceedings (published in time for the respective conference) -post-proceedings (consisting of thoroughly revised final full papers) -research monographs (which may be based on PhD work) More recently, several color-cover sublines have been added featuring, beyond a collection of papers, various added-value components; these sublines include -tutorials (textbook-like monographs or collections of lectures given at advanced courses) -state-of-the-art surveys (offering complete and mediated coverage of a topic) -hot topics (introducing emergent topics to the broader community)

RoboCup

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Optical Electronic Materials and Applications

Author : Yu Hang Yang
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Volume is indexed by Thomson Reuters CPCI-S (WoS). The aim of this special volume is to facilitate the exchange of information on best practice for Photonics Materials and Devices, Optical Materials and Devices, NEMS/MEMS Materials and Devices, Electronic Materials and Instruments, Modeling, Simulation and Applications, etc. It will provide an opportunity for engineers and scientists in academia, industry and government to address the most innovative research and development ideas, together with their technical challenges, social and economic issues, and to discuss the ideas, results, work-in-progress and experience in all aspects of optical and electronic materials and their applications.

Principles and Practice of Multi Agent Systems

Author : Iyad Rahwan
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This book constitutes the refereed proceedings of the 15th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2012, held in Kuching, Sarawak, Malaysia, in September 2012. The conference was collocated with the 12th Pacific Rim International Conference on Artificial Intelligence, PRICAI. The 17 revised full papers presented were carefully reviewed and selected from 42 submissions. The papers are organized in topical sections on foundations, auctions and negotiation, coalition formation and teamwork, norms and institutions, and applications.

Proceedings

Author : American Association for Artificial Intelligence
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AAAI proceedings describe innovative concepts, techniques, perspectives, and observations that present promising research directions in artificial intelligence.

Conflicting Agents

Author : Cathérine Tessier
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Conflicts between agents acting in a multi-agent environment arise for different reasons, involve different concepts, and are dealt with in different ways, depending on the kind of agents and on the domain where they are considered. Agents may have conflicting beliefs, conflicting goals, or may have to share limited resources. Consequently, conflicts may be expressed as mere differences, or as contradictions, or even as social conflicts. They may be avoided, solved, kept, or even created deliberately. Conflicting Agents studies conflicts in the context of multi-agent systems, i.e. artificial societies modeled on the basis of autonomous, interacting agents. This book addresses questions about types of conflicts, conflict definitions and the use of conflicts as trigger functions for activities in multi-agent systems. The book is also dedicated to questions of conflict management, resolution and avoidance, i.e. the question of how agents cope with conflicts and conflicting situations.