Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Decision Theory And Multi Agent Planning
Download Decision Theory And Multi Agent Planning full books in PDF, epub, and Kindle. Read online Decision Theory And Multi Agent Planning ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Decision Theory and Multi-Agent Planning by : Giacomo Della Riccia
Download or read book Decision Theory and Multi-Agent Planning written by Giacomo Della Riccia and published by Springer Science & Business Media. This book was released on 2007-05-03 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: The work presents a modern, unified view on decision support and planning by considering its basics like preferences, belief, possibility and probability as well as utilities. These features together are immanent for software agents to believe the user that the agents are "intelligent".
Book Synopsis Distributed Decision Making by : Christoph Schneeweiss
Download or read book Distributed Decision Making written by Christoph Schneeweiss and published by Springer Science & Business Media. This book was released on 2012-11-07 with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed decision making (DDM) has become of increasing importance in quantitative decision analysis. In applications like supply chain management, service operations, or managerial accounting, DDM has led to a paradigm shift. The book provides a unified approach to such seemingly diverse fields as multi-level stochastic programming, hierarchical production planning, principal agent theory, negotiations or contract theory. Different settings like multi-level one-person decision problems, multi-person antagonistic planning, and leadership situations are covered. Numerous examples and real-life planning cases illustrate the concepts. The new edition has been considerably expanded by additional chapters on supply chain management, service operations and multi-agent systems.
Book Synopsis Planning Based on Decision Theory by : Giacomo Della Riccia
Download or read book Planning Based on Decision Theory written by Giacomo Della Riccia and published by Springer. This book was released on 2014-05-04 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Planning of actions based on decision theory is a hot topic for many disciplines. Seemingly unlimited computing power, networking, integration and collaboration have meanwhile attracted the attention of fields like Machine Learning, Operations Research, Management Science and Computer Science. Software agents of e-commerce, mediators of Information Retrieval Systems and Database based Information Systems are typical new application areas. Until now, planning methods were successfully applied in production, logistics, marketing, finance, management, and used in robots, software agents etc. It is the special feature of the book that planning is embedded into decision theory, and this will give the interested reader new perspectives to follow-up.
Book Synopsis Multi-Objective Decision Making by : Diederik M. Roijers
Download or read book Multi-Objective Decision Making written by Diederik M. Roijers and published by Morgan & Claypool Publishers. This book was released on 2017-04-20 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many real-world decision problems have multiple objectives. For example, when choosing a medical treatment plan, we want to maximize the efficacy of the treatment, but also minimize the side effects. These objectives typically conflict, e.g., we can often increase the efficacy of the treatment, but at the cost of more severe side effects. In this book, we outline how to deal with multiple objectives in decision-theoretic planning and reinforcement learning algorithms. To illustrate this, we employ the popular problem classes of multi-objective Markov decision processes (MOMDPs) and multi-objective coordination graphs (MO-CoGs). First, we discuss different use cases for multi-objective decision making, and why they often necessitate explicitly multi-objective algorithms. We advocate a utility-based approach to multi-objective decision making, i.e., that what constitutes an optimal solution to a multi-objective decision problem should be derived from the available information about user utility. We show how different assumptions about user utility and what types of policies are allowed lead to different solution concepts, which we outline in a taxonomy of multi-objective decision problems. Second, we show how to create new methods for multi-objective decision making using existing single-objective methods as a basis. Focusing on planning, we describe two ways to creating multi-objective algorithms: in the inner loop approach, the inner workings of a single-objective method are adapted to work with multi-objective solution concepts; in the outer loop approach, a wrapper is created around a single-objective method that solves the multi-objective problem as a series of single-objective problems. After discussing the creation of such methods for the planning setting, we discuss how these approaches apply to the learning setting. Next, we discuss three promising application domains for multi-objective decision making algorithms: energy, health, and infrastructure and transportation. Finally, we conclude by outlining important open problems and promising future directions.
Book Synopsis Negotiation and Argumentation in Multi-Agent Systems by : Fernando Lopes
Download or read book Negotiation and Argumentation in Multi-Agent Systems written by Fernando Lopes and published by Bentham Science Publishers. This book was released on 2014-04-08 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: Agent technology has generated lots of excitement in the past decade. Currently, multi-agent systems (MAS) composed of autonomous agents representing individuals or organizations and capable of reaching mutually beneficial agreements through negotiation and argumentation are becoming increasingly important and pervasive. Research on both automated negotiation and argumentation in MAS has a vigorous, exciting tradition. However, efforts to integrate both areas have received only selective attention in the academia and the practitioner literature. A symbiotic relationship could significantly strengthen each area’s progress and trigger new R&D challenges and prospects toward the advancement of automated negotiators and argumentation tools. Negotiation and Argumentation in Multi-Agent Systems presents the current state-of-the-art on the theory and practice of automated negotiation and argumentation in MAS. The eBook encourages the interaction between these two areas in data modelling and attempts to converge them toward mutual enhancement and synergism. Equally, the monograph brings together researchers and industry practitioners specialized in these areas to share R&D results and discuss existing and emerging theoretical and applied problems. This book is intended as a textbook for graduate courses and a reference book for researchers, advanced-level students in Computers Science, and IT practitioners.
Book Synopsis On the Value of Information in Multi-agent Decision Theory by : Bruno Bassan
Download or read book On the Value of Information in Multi-agent Decision Theory written by Bruno Bassan and published by . This book was released on 1994 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Reinforcement Learning by : Marco Wiering
Download or read book Reinforcement Learning written by Marco Wiering and published by Springer Science & Business Media. This book was released on 2012-03-05 with total page 653 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement learning has progressed tremendously in the past decade. The main goal of this book is to present an up-to-date series of survey articles on the main contemporary sub-fields of reinforcement learning. This includes surveys on partially observable environments, hierarchical task decompositions, relational knowledge representation and predictive state representations. Furthermore, topics such as transfer, evolutionary methods and continuous spaces in reinforcement learning are surveyed. In addition, several chapters review reinforcement learning methods in robotics, in games, and in computational neuroscience. In total seventeen different subfields are presented by mostly young experts in those areas, and together they truly represent a state-of-the-art of current reinforcement learning research. Marco Wiering works at the artificial intelligence department of the University of Groningen in the Netherlands. He has published extensively on various reinforcement learning topics. Martijn van Otterlo works in the cognitive artificial intelligence group at the Radboud University Nijmegen in The Netherlands. He has mainly focused on expressive knowledge representation in reinforcement learning settings.
Book Synopsis Decision Making in Multi-agent Systems by : Karen Arman Pivazyan
Download or read book Decision Making in Multi-agent Systems written by Karen Arman Pivazyan and published by . This book was released on 2004 with total page 63 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Knowledge Processing and Decision Making in Agent-Based Systems by : Lakhmi C Jain
Download or read book Knowledge Processing and Decision Making in Agent-Based Systems written by Lakhmi C Jain and published by Springer Science & Business Media. This book was released on 2009-01-17 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge processing and decision making in agent-based systems constitute the key components of intelligent machines. The contributions included in the book are: Innovations in Knowledge Processing and Decision Making in Agent-Based Systems Towards Real-World HTN Planning Agents Mobile Agent-Based System for Distributed Software Maintenance Software Agents in New Generation Networks: Towards the Automation of Telecom Processes Multi-agent Systems and Paraconsistent Knowledge An Agent-based Negotiation Platform for Collaborative Decision-Making in Construction Supply Chain An Event-Driven Algorithm for Agents at the Web A Generic Mobile Agent Framework Toward Ambient Intelligence Developing Actionable Trading Strategies Agent Uncertainty Model and Quantum Mechanics Representation Agent Transportation Layer Adaptation System Software Agents to Enable Service Composition through Negotiation Advanced Technology Towards Developing Decentralized Autonomous Flexible Manufacturing Systems
Book Synopsis Local Decision-making in Multi-agent Systems by : Maike Kaufman
Download or read book Local Decision-making in Multi-agent Systems written by Maike Kaufman and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Multi-Agent-Based Simulation by : Scott Moss
Download or read book Multi-Agent-Based Simulation written by Scott Moss and published by Springer. This book was released on 2003-07-31 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is based on papers accepted for the Second International Workshop on Multi-agent-based Simulation (MABS-2000)federated with the Fourth Int- national Conference on Multi Agent Systems (ICMAS-2000)held in Boston in July 2000. The purpose of MABS-2000 was to investigate and develop the synergy - tween software engineering for multi-agent systems and agent-based social s- ulation. The papers included in the MABS-2000 workshop were selected either because they explore how agent interaction can be used to build multi-agent s- tems or they o?er examples of problem-oriented (rather than technique-oriented) systems. No paper was selected if it speci?ed a model or an issue to make it ?t a previously chosen technique. All of the papers in the volume have been reviewed and in many cases revised since the workshop. Two papers (by Edmonds and by Hales)as well as the editorial introduction have been added to those accepted for the workshop. As editors and workshop organisers, we are very grateful to the participants who engaged enthusiastically in the discussions about both individual papers and the issues facing the MABS community. Issues raised and positions taken in those discussions are reported in the editorial introduction. We are also grateful to the authors for their punctuality and the grace with which they received and responded to editorial comments and requests. Klaus Fischer, the ICMAS-2000 workshops chair, was exceptionally patient and diplomatic in reconciling our demands with the resources available.
Book Synopsis An Application Science for Multi-Agent Systems by : Thomas A. Wagner
Download or read book An Application Science for Multi-Agent Systems written by Thomas A. Wagner and published by Springer Science & Business Media. This book was released on 2006-04-11 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Application Science For Multi-Agent Systems addresses the complexity of choosing which multi-agent control technologies are appropriate for a given problem domain or a given application. Without such knowledge, when faced with a new application domain, agent developers must rely on past experience and intuition to determine whether a multi-agent system is the right approach, and if so, how to structure the agents, how to decompose the problem, and how to coordinate the activities of the agents, and so forth. This unique collection of contributions, written by leading international researchers in the agent community, provides valuable insight into the issues of deciding which technique to apply and when it is appropriate to use them. The contributions also discuss potential trade-offs or caveats involved with each decision. An Application Science For Multi-Agent Systems is an excellent reference for anyone involved in developing multi-agent systems.
Book Synopsis Encyclopedia of Decision Making and Decision Support Technologies by : Patrick Humphreys
Download or read book Encyclopedia of Decision Making and Decision Support Technologies written by Patrick Humphreys and published by IGI Global Snippet. This book was released on 2008 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: This encyclopedia presents a critical mass of research on human and computer support of managerial decision making, including discussion on support of operational, tactical, and strategic decisions, human vs computer system support structure, individual and group decision making, and multi-criteria decision making.
Book Synopsis Handbook on Decision Making by : Chee Peng Lim
Download or read book Handbook on Decision Making written by Chee Peng Lim and published by Springer Science & Business Media. This book was released on 2010-09-07 with total page 539 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision making arises when we wish to select the best possible course of action from a set of alternatives. With advancements of the digital technologies, it is easy, and almost instantaneous, to gather a large volume of information and/or data pertaining to a problem that we want to solve. For instance, the world-wi- web is perhaps the primary source of information and/or data that we often turn to when we face a decision making problem. However, the information and/or data that we obtain from the real world often are complex, and comprise various kinds of noise. Besides, real-world information and/or data often are incomplete and ambiguous, owing to uncertainties of the environments. All these make decision making a challenging task. To cope with the challenges of decision making, - searchers have designed and developed a variety of decision support systems to provide assistance in human decision making processes. The main aim of this book is to provide a small collection of techniques stemmed from artificial intelligence, as well as other complementary methodo- gies, that are useful for the design and development of intelligent decision support systems. Application examples of how these intelligent decision support systems can be utilized to help tackle a variety of real-world problems in different - mains, e. g. business, management, manufacturing, transportation and food ind- tries, and biomedicine, are also presented. A total of twenty chapters, which can be broadly divided into two parts, i. e.
Book Synopsis Multiagent System Technologies by : Jörg P. Müller
Download or read book Multiagent System Technologies written by Jörg P. Müller and published by Springer. This book was released on 2014-09-15 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 12th German Conference on Multiagent System Technologies, MATES 2014, held in Stuttgart, Germany, in September 2014. The 9 full papers and 7 short papers included in this volume were carefully reviewed and selected from 31 submissions. The book also contains 2 invited talks. The papers are organized in topical sections named: mechanisms, negotiation, and game theory; multiagent planning, learning, and control; and multiagent systems engineering, modeling and simulation.
Book Synopsis Hierarchies in Distributed Decision Making by : Christoph Schneeweiss
Download or read book Hierarchies in Distributed Decision Making written by Christoph Schneeweiss and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed decision making is described in this book from a hierarchical perspective. A unified approach allows to treat such seemingly diverse fields as multi-level decision making, hierarchical production planning, principal agent theory, hierarchical negotiations, and dynamic games within the framework of a general pair of functional equations. In doing so, the book covers the range from a multi-level one-person decision problem to a multi-person antagonistic planning and leadership situation. These general ideas are illustrated with numerous examples and real-life planning situations. In addition, the treatise provides a theoretical foundation for important problem areas in business administration such as hierarchical production planning, the problems of design and implementation, modern concepts in managerial accounting, and supply chain management.
Book Synopsis Multi-Agent-Based Production Planning and Control by : Jie Zhang
Download or read book Multi-Agent-Based Production Planning and Control written by Jie Zhang and published by John Wiley & Sons. This book was released on 2017-08-28 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: At the crossroads of artificial intelligence, manufacturing engineering, operational research and industrial engineering and management, multi-agent based production planning and control is an intelligent and industrially crucial technology with increasing importance. This book provides a complete overview of multi-agent based methods for today’s competitive manufacturing environment, including the Job Shop Manufacturing and Re-entrant Manufacturing processes. In addition to the basic control and scheduling systems, the author also highlights advance research in numerical optimization methods and wireless sensor networks and their impact on intelligent production planning and control system operation. Enables students, researchers and engineers to understand the fundamentals and theories of multi-agent based production planning and control Written by an author with more than 20 years’ experience in studying and formulating a complete theoretical system in production planning technologies Fully illustrated throughout, the methods for production planning, scheduling and controlling are presented using experiments, numerical simulations and theoretical analysis Comprehensive and concise, Multi-Agent Based Production Planning and Control is aimed at the practicing engineer and graduate student in industrial engineering, operational research, and mechanical engineering. It is also a handy guide for advanced students in artificial intelligence and computer engineering.
