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Author : Toni Böhnlein
Publisher :
ISBN 13 : 9783843936736
Total Pages : pages
Book Rating : 4.9/5 (367 download)
Download or read book Algorithmic Decision-Making in Multi-Agent Systems: Votes and Prices written by Toni Böhnlein and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jeremy Pitt
Publisher : World Scientific
ISBN 13 : 1800610440
Total Pages : 400 pages
Book Rating : 4.8/5 (6 download)
Download or read book Self-organising Multi-agent Systems: Algorithmic Foundations Of Cyber-anarcho-socialism written by Jeremy Pitt and published by World Scientific. This book was released on 2021-09-21 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: The paradigm of self-organisation is fundamental to theories of collective action in economic science and democratic governance in political science. Self-organisation in these social systems critically depends on voluntary compliance with conventional rules: that is, rules which are made up, mutually agreed, and modifiable 'on the fly'. How, then, can we use the self-organisation observed in such social systems as an inspiration for decentralised computer systems, which can face similar problems of coordination, cooperation and collaboration between autonomous peers?Self-Organising Multi-Agent Systems presents an innovative and systematic approach to transforming theories of economics and politics (and elements of philosophy, psychology, and jurisprudence) into an executable logical specification of conventional rules. It shows how sets of such rules, called institutions, provide an algorithmic basis for designing and implementing cyber-physical systems, enabling intelligent software processes (called agents) to manage themselves in the face of competition for scarce resources. It also provides a basis for implementing socio-technical systems with interacting human and computational intelligences in a way that is sustainable, fair and legitimate.This interdisciplinary book is essential reading for anyone interested in the 'planned emergence' of global properties, commonly-shared values or successful collective action, especially as a product of social construction, knowledge management and political arrangements. For those studying both computer science and social sciences, this book offers a radically new gateway to a transformative understanding of complex system development and social system modelling.Understanding how a computational representation of qualitative values like justice and democracy can lead to stability and legitimacy of socio-technical systems is among the most pressing software engineering challenges of modern times. This book can be read as an invitation to make the Digital Society better.Related Link(s)
Author : Diederik M. Roijers
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1681731827
Total Pages : 174 pages
Book Rating : 4.6/5 (817 download)
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 174 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.
Author : Nikos Vlassis
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1598295276
Total Pages : 84 pages
Book Rating : 4.5/5 (982 download)
Download or read book A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence written by Nikos Vlassis and published by Morgan & Claypool Publishers. This book was released on 2007-06-01 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiagent systems is an expanding field that blends classical fields like game theory and decentralized control with modern fields like computer science and machine learning. This monograph provides a concise introduction to the subject, covering the theoretical foundations as well as more recent developments in a coherent and readable manner. The text is centered on the concept of an agent as decision maker. Chapter 1 is a short introduction to the field of multiagent systems. Chapter 2 covers the basic theory of singleagent decision making under uncertainty. Chapter 3 is a brief introduction to game theory, explaining classical concepts like Nash equilibrium. Chapter 4 deals with the fundamental problem of coordinating a team of collaborative agents. Chapter 5 studies the problem of multiagent reasoning and decision making under partial observability. Chapter 6 focuses on the design of protocols that are stable against manipulations by self-interested agents. Chapter 7 provides a short introduction to the rapidly expanding field of multiagent reinforcement learning. The material can be used for teaching a half-semester course on multiagent systems covering, roughly, one chapter per lecture.
Author : Karen Arman Pivazyan
Publisher :
ISBN 13 :
Total Pages : 63 pages
Book Rating : 4.:/5 (729 download)
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:
Author : Massimo Cossentino
Publisher : Springer
ISBN 13 : 3642347991
Total Pages : 269 pages
Book Rating : 4.6/5 (423 download)
Download or read book Multi-Agent Systems written by Massimo Cossentino and published by Springer. This book was released on 2012-10-26 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly reviewed post-proceedings of the 9th International Workshop, EUMAS 2011, held in Maastricht, The Netherlands, in November 2011. The 16 revised full papers included in the book were carefully revised and selected from 45 submissions. This workshop is primarily intended as a European forum at which researchers and those interested in activities relating to research in the area of autonomous agents and multi-agent systems could meet, present (potentially preliminary) research results, problems, and issues in an open and informal but academic environment. The aim of this workshop was to encourage and support activity in the research and development of multi-agent systems, in academic and industrial efforts.
Author : G.A. Kaminka
Publisher : IOS Press
ISBN 13 : 1614996725
Total Pages : 1860 pages
Book Rating : 4.6/5 (149 download)
Download or read book ECAI 2016 written by G.A. Kaminka and published by IOS Press. This book was released on 2016-08-24 with total page 1860 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence continues to be one of the most exciting and fast-developing fields of computer science. This book presents the 177 long papers and 123 short papers accepted for ECAI 2016, the latest edition of the biennial European Conference on Artificial Intelligence, Europe’s premier venue for presenting scientific results in AI. The conference was held in The Hague, the Netherlands, from August 29 to September 2, 2016. ECAI 2016 also incorporated the conference on Prestigious Applications of Intelligent Systems (PAIS) 2016, and the Starting AI Researcher Symposium (STAIRS). The papers from PAIS are included in this volume; the papers from STAIRS are published in a separate volume in the Frontiers in Artificial Intelligence and Applications (FAIA) series. Organized by the European Association for Artificial Intelligence (EurAI) and the Benelux Association for Artificial Intelligence (BNVKI), the ECAI conference provides an opportunity for researchers to present and hear about the very best research in contemporary AI. This proceedings will be of interest to all those seeking an overview of the very latest innovations and developments in this field.
Author : Takayuki Ito
Publisher : Springer
ISBN 13 : 3540762825
Total Pages : 188 pages
Book Rating : 4.5/5 (47 download)
Download or read book Rational, Robust, and Secure Negotiations in Multi-Agent Systems written by Takayuki Ito and published by Springer. This book was released on 2008-03-21 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a completely comprehensive and yet accessible text, a variety of hugely accomplished contributors address all aspects of negotiation mechanisms in multi-agent systems. These include multi-issue negotiations, concurrent negotiations, and strategy-proof mechanisms, as well as rational argumentation and topics, auctions and voting. The workshop from which this volume has arisen brought together researchers from these communities to learn about each others’ approaches.
Author : Jörg Rothe
Publisher : Springer
ISBN 13 : 3319675044
Total Pages : 408 pages
Book Rating : 4.3/5 (196 download)
Download or read book Algorithmic Decision Theory written by Jörg Rothe and published by Springer. This book was released on 2017-10-13 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the conference proceedings of the 5th International Conference on Algorithmic Decision Theory , ADT 2017, held in Luxembourg, in October 2017.The 22 full papers presented together with 6 short papers, 4 keynote abstracts, and 6 Doctoral Consortium papers, were carefully selected from 45 submissions. The papers are organized in topical sections on preferences and multi-criteria decision aiding; decision making and voting; game theory and decision theory; and allocation and matching.
Author : Nils Bulling
Publisher : Springer
ISBN 13 : 3319171305
Total Pages : 434 pages
Book Rating : 4.3/5 (191 download)
Download or read book Multi-Agent Systems written by Nils Bulling and published by Springer. This book was released on 2015-04-15 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Junzo Watada
Publisher : Springer Science & Business Media
ISBN 13 : 3642299776
Total Pages : 533 pages
Book Rating : 4.6/5 (422 download)
Download or read book Intelligent Decision Technologies written by Junzo Watada and published by Springer Science & Business Media. This book was released on 2012-05-20 with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Intelligent Decision Technologies (IDT) International Conference encourages an interchange of research on intelligent systems and intelligent technologies that enhance or improve decision making. The focus of IDT is interdisciplinary and includes research on all aspects of intelligent decision technologies, from fundamental development to real applications. IDT has the potential to expand their support of decision making in such areas as finance, accounting, marketing, healthcare, medical and diagnostic systems, military decisions, production and operation, networks, traffic management, crisis response, human-machine interfaces, financial and stock market monitoring and prediction, and robotics. Intelligent decision systems implement advances in intelligent agents, fuzzy logic, multi-agent systems, artificial neural networks, and genetic algorithms, among others. Emerging areas of active research include virtual decision environments, social networking, 3D human-machine interfaces, cognitive interfaces, collaborative systems, intelligent web mining, e-commerce, e-learning, e-business, bioinformatics, evolvable systems, virtual humans, and designer drugs. This volume contains papers from the Fourth KES International Symposium on Intelligent Decision Technologies (KES IDT’12), hosted by researchers in Nagoya University and other institutions in Japan. This book contains chapters based on papers selected from a large number of submissions for consideration for the conference from the international community. The volume represents the current leading thought in intelligent decision technologies.
Author : Giacomo Della Riccia
Publisher : Springer Science & Business Media
ISBN 13 : 3211381678
Total Pages : 203 pages
Book Rating : 4.2/5 (113 download)
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".
Author : RONEN BRAFMAN
Publisher : Springer Science & Business Media
ISBN 13 : 3642248721
Total Pages : 355 pages
Book Rating : 4.6/5 (422 download)
Download or read book Algorithmic Decision Theory written by RONEN BRAFMAN and published by Springer Science & Business Media. This book was released on 2011-10-07 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Conference on Algorithmic Decision Theory, ADT 2011, held in Piscataway, NJ, USA, in October 2011. The 24 revised full papers presented were carefully reviewed and selected from 50 submissions.
Author : Frank Dignum
Publisher : Springer Nature
ISBN 13 : 3030857395
Total Pages : 414 pages
Book Rating : 4.0/5 (38 download)
Download or read book Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection written by Frank Dignum and published by Springer Nature. This book was released on 2021-09-24 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 19th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2021, held in Salamanca, Spain, in October 2021. The 27 regular and 13 short papers presented in this volume were carefully reviewed and selected from 56 submissions. They deal with the application and validation of agent-based models, methods, and technologies in a number of key applications areas, including: advanced models and learning, agent-based programming, decision-making, education and social interactions, formal and theoretic models, health and safety, mobility and the city, swarms and task allocation.
Author : Fei Chen
Publisher : Springer Nature
ISBN 13 : 3030395367
Total Pages : 240 pages
Book Rating : 4.0/5 (33 download)
Download or read book Distributed Average Tracking in Multi-agent Systems written by Fei Chen and published by Springer Nature. This book was released on 2020-02-04 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a systematic study of an emerging field in the development of multi-agent systems. In a wide spectrum of applications, it is now common to see that multiple agents work cooperatively to accomplish a complex task. The book assists the implementation of such applications by promoting the ability of multi-agent systems to track — using local communication only — the mean value of signals of interest, even when these change rapidly with time and when no individual agent has direct access to the average signal across the whole team; for example, when a better estimation/control performance of multi-robot systems has to be guaranteed, it is desirable for each robot to compute or track the averaged changing measurements of all the robots at any time by communicating with only local neighboring robots. The book covers three factors in successful distributed average tracking: algorithm design via nonsmooth and extended PI control; distributed average tracking for double-integrator, general-linear, Euler–Lagrange, and input-saturated dynamics; and applications in dynamic region-following formation control and distributed convex optimization. The book presents both the theory and applications in a general but self-contained manner, making it easy to follow for newcomers to the topic. The content presented fosters research advances in distributed average tracking and inspires future research directions in the field in academia and industry.
Author : Pawel Sniatala
Publisher : Springer Nature
ISBN 13 : 3030331326
Total Pages : 202 pages
Book Rating : 4.0/5 (33 download)
Download or read book Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm written by Pawel Sniatala and published by Springer Nature. This book was released on 2020-02-05 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive analysis of Brooks-Iyengar Distributed Sensing Algorithm, which brings together the power of Byzantine Agreement and sensor fusion in building a fault-tolerant distributed sensor network. The authors analyze its long-term impacts, advances, and future prospects. The book starts by discussing the Brooks-Iyengar algorithm, which has made significant impact since its initial publication in 1996. The authors show how the technique has been applied in many domains such as software reliability, distributed systems and OS development, etc. The book exemplifies how the algorithm has enhanced new real-time features by adding fault-tolerant capabilities for many applications. The authors posit that the Brooks-Iyengar Algorithm will to continue to be used where fault-tolerant solutions are needed in redundancy system scenarios. This book celebrates S.S. Iyengar's accomplishments that led to his 2019 Institute of Electrical and Electronics Engineers' (IEEE) Cybermatics Congress "Test of Time Award" for his work on creating Brooks-Iyengar Algorithm and its impact in advancing modern computing.
Author : Patrice Perny
Publisher : Springer
ISBN 13 : 364241575X
Total Pages : 442 pages
Book Rating : 4.6/5 (424 download)
Download or read book Algorithmic Decision Theory written by Patrice Perny and published by Springer. This book was released on 2013-10-28 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed conference proceedings of the Third International Conference on Algorithmic Decision Theory, ADT 2013, held in November 2013 in Bruxelles, Belgium. The 33 revised full papers presented were carefully selected from more than 70 submissions, covering preferences in reasoning and decision making, uncertainty and robustness in decision making, multi-criteria decision analysis and optimization, collective decision making, learning and knowledge extraction for decision support.
