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A Class of Algorithms for Distributed Constraint Optimization

A Class of Algorithms for Distributed Constraint Optimization PDF Author: Adrian Petcu
Publisher: IOS Press
ISBN: 158603989X
Category : Computers
Languages : en
Pages : 304

Book Description
Addresses three major issues that arise in Distributed Constraint Optimization Problems (DCOP): efficient optimization algorithms, dynamic and open environments, and manipulations from self-interested users. This book introduces a series of DCOP algorithms, which are based on dynamic programming.

A Class of Algorithms for Distributed Constraint Optimization

A Class of Algorithms for Distributed Constraint Optimization PDF Author: Adrian Petcu
Publisher: IOS Press
ISBN: 158603989X
Category : Computers
Languages : en
Pages : 304

Book Description
Addresses three major issues that arise in Distributed Constraint Optimization Problems (DCOP): efficient optimization algorithms, dynamic and open environments, and manipulations from self-interested users. This book introduces a series of DCOP algorithms, which are based on dynamic programming.

Recent Advances in Constraints

Recent Advances in Constraints PDF Author: Javier Larrosa
Publisher: Springer Science & Business Media
ISBN: 3642194850
Category : Computers
Languages : en
Pages : 161

Book Description
This book constitutes the thoroughly refereed post-proceedings of the 14th Annual ERCIM International Workshop on Constraint Solving and Constraint Logic Programming, CSCLP 2009, held in Barcelona, Spain, in June 2009. The 9 revised full papers presented were carefully reviewed and selected for inclusion in this post-proceedings. The papers in this volume present original research results and applications of constraint solving and constraint logic programming in several domains. Among the issues addressed are solving argumentation frameworks, software consistency, modeling languages, static design routing, dynamic constraint satisfaction, and constraint-based modeling.

Distributed Constraint Problem Solving and Reasoning in Multi-agent Systems

Distributed Constraint Problem Solving and Reasoning in Multi-agent Systems PDF Author: Weixiong Zhang
Publisher: IOS Press
ISBN: 9781586034566
Category : Computers
Languages : en
Pages : 240

Book Description
Distributed and multi-agent systems are becoming more and more the focus of attention in artificial intelligence research and have already found their way into many practical applications. An important prerequisite for their success is an ability to flexibly adapt their behavior via intelligent cooperation. Successful reasoning about and within a multiagent system is therefore paramount to achieve intelligent behavior. Distributed Constraint Satisfaction Problems (DCSPs) and Distributed Constraint Optimization (minimization) Problems (DCOPs) are perhaps ubiquitous in distributed systems in dynamic environments. Many important problems in distributed environments and systems, such as action coordination, task scheduling and resource allocation, can be formulated and solved as DCSPs and DCOPs. Therefore, techniques for solving DCSPs and DCOPs as well as strategies for automated reasoning in distributed systems are indispensable tools in the research areas of distributed and multi-agent systems. They also provide promising frameworks to deal with the increasingly diverse range of distributed real world problems emerging from the fast evolution of communication technologies.The volume is divided in two parts. One part contains papers on distributed constraint problems in multi-agent systems. The other part presents papers on Agents and Automated Reasoning.

 PDF Author:
Publisher: IOS Press
ISBN:
Category :
Languages : en
Pages : 7289

Book Description


Handbook of Constraint Programming

Handbook of Constraint Programming PDF Author: Francesca Rossi
Publisher: Elsevier
ISBN: 0080463800
Category : Computers
Languages : en
Pages : 977

Book Description
Constraint programming is a powerful paradigm for solving combinatorial search problems that draws on a wide range of techniques from artificial intelligence, computer science, databases, programming languages, and operations research. Constraint programming is currently applied with success to many domains, such as scheduling, planning, vehicle routing, configuration, networks, and bioinformatics.The aim of this handbook is to capture the full breadth and depth of the constraint programming field and to be encyclopedic in its scope and coverage. While there are several excellent books on constraint programming, such books necessarily focus on the main notions and techniques and cannot cover also extensions, applications, and languages. The handbook gives a reasonably complete coverage of all these lines of work, based on constraint programming, so that a reader can have a rather precise idea of the whole field and its potential. Of course each line of work is dealt with in a survey-like style, where some details may be neglected in favor of coverage. However, the extensive bibliography of each chapter will help the interested readers to find suitable sources for the missing details. Each chapter of the handbook is intended to be a self-contained survey of a topic, and is written by one or more authors who are leading researchers in the area.The intended audience of the handbook is researchers, graduate students, higher-year undergraduates and practitioners who wish to learn about the state-of-the-art in constraint programming. No prior knowledge about the field is necessary to be able to read the chapters and gather useful knowledge. Researchers from other fields should find in this handbook an effective way to learn about constraint programming and to possibly use some of the constraint programming concepts and techniques in their work, thus providing a means for a fruitful cross-fertilization among different research areas.The handbook is organized in two parts. The first part covers the basic foundations of constraint programming, including the history, the notion of constraint propagation, basic search methods, global constraints, tractability and computational complexity, and important issues in modeling a problem as a constraint problem. The second part covers constraint languages and solver, several useful extensions to the basic framework (such as interval constraints, structured domains, and distributed CSPs), and successful application areas for constraint programming.- Covers the whole field of constraint programming- Survey-style chapters- Five chapters on applications

IJCAI

IJCAI PDF Author:
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 1620

Book Description


ECAI 2010

ECAI 2010 PDF Author: European Coordinating Committee for Artificial Intelligence
Publisher: IOS Press
ISBN: 160750605X
Category : Computers
Languages : en
Pages : 1184

Book Description
LC copy bound in 2 v.: v. 1, p. 1-509; v. 2, p. [509]-1153.

Advanced cooperative control and optimization strategies for integrated energy systems

Advanced cooperative control and optimization strategies for integrated energy systems PDF Author: Rui Wang
Publisher: Frontiers Media SA
ISBN: 2832515223
Category : Technology & Engineering
Languages : en
Pages : 203

Book Description


Agents and Artificial Intelligence

Agents and Artificial Intelligence PDF Author: Ana Paula Rocha
Publisher: Springer Nature
ISBN: 3031101618
Category : Computers
Languages : en
Pages : 353

Book Description
This book constitutes selected papers from the refereed proceedings of the 13th International Conference on Agents and Artificial Intelligence, ICAART 2021, which was held online during February 4–6, 2021. A total of 72 full and 99 short papers were carefully reviewed and selected for the conference from a total of 298 submissions; 17 selected full papers are included in this book. They were organized in topical sections named agents and artificial intelligence.

Data Mining and Multi-agent Integration

Data Mining and Multi-agent Integration PDF Author: Longbing Cao
Publisher: Springer Science & Business Media
ISBN: 1441905227
Category : Computers
Languages : en
Pages : 335

Book Description
Data Mining and Multi agent Integration aims to re?ect state of the art research and development of agent mining interaction and integration (for short, agent min ing). The book was motivated by increasing interest and work in the agents data min ing, and vice versa. The interaction and integration comes about from the intrinsic challenges faced by agent technology and data mining respectively; for instance, multi agent systems face the problem of enhancing agent learning capability, and avoiding the uncertainty of self organization and intelligence emergence. Data min ing, if integrated into agent systems, can greatly enhance the learning skills of agents, and assist agents with predication of future states, thus initiating follow up action or intervention. The data mining community is now struggling with mining distributed, interactive and heterogeneous data sources. Agents can be used to man age such data sources for data access, monitoring, integration, and pattern merging from the infrastructure, gateway, message passing and pattern delivery perspectives. These two examples illustrate the potential of agent mining in handling challenges in respective communities. There is an excellent opportunity to create innovative, dual agent mining interac tion and integration technology, tools and systems which will deliver results in one new technology.