Algorithmic Decision Theory

Author : Patrice Perny,Marc Pirlot,Alexis Tsoukiàs
Publisher : Springer
Page : 442 pages
File Size : 54,7 Mb
Release : 2013-10-28
Category : Computers
ISBN : 9783642415753

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Algorithmic Decision Theory by Patrice Perny,Marc Pirlot,Alexis Tsoukiàs Pdf

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.

Author : Saša Pekeč,Kristen Brent Venable
Publisher : Springer Nature
Page : 187 pages
File Size : 52,8 Mb
Release : 2019-10-10
Category : Computers
ISBN : 9783030314897

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Algorithmic Decision Theory by Saša Pekeč,Kristen Brent Venable Pdf

This book constitutes the conference proceedings of the 6th International Conference on Algorithmic Decision Theory, ADT 2019, held in Durham, NC, USA, in October 2019. The 10 full papers presented together with 7 short papers were carefully selected from 31 submissions. The papers focus on algorithmic decision theory broadly defined, seeking to bring together researchers and practitioners coming from diverse areas of computer science, economics and operations research in order to improve the theory and practice of modern decision support.

Author : Jörg Rothe
Publisher : Springer
Page : 408 pages
File Size : 49,9 Mb
Release : 2017-10-13
Category : Computers
ISBN : 9783319675046

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Algorithmic Decision Theory by Jörg Rothe Pdf

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 : RONEN BRAFMAN,Fred S. Roberts,Alexis Tsoukias
Publisher : Springer Science & Business Media
Page : 355 pages
File Size : 50,7 Mb
Release : 2011-10-07
Category : Business & Economics
ISBN : 9783642248726

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Algorithmic Decision Theory by RONEN BRAFMAN,Fred S. Roberts,Alexis Tsoukias Pdf

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 : Francesca Rossi
Publisher : Springer Science & Business Media
Page : 471 pages
File Size : 43,5 Mb
Release : 2009-10-05
Category : Business & Economics
ISBN : 9783642044274

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Algorithmic Decision Theory by Francesca Rossi Pdf

This volume contains the papers presented at ADT 2009, the first International Conference on Algorithmic Decision Theory. The conference was held in San Servolo, a small island of the Venice lagoon, during October 20-23, 2009. The program of the conference included oral presentations, posters, invited talks, and tutorials. The conference received 65 submissions of which 39 papers were accepted (9 papers were posters). The topics of these papers range from computational social choice preference modeling, from uncertainty to preference learning, from multi-criteria decision making to game theory.

Author : Dimitris Fotakis,David Ríos Insua
Publisher : Springer Nature
Page : 446 pages
File Size : 42,6 Mb
Release : 2021-10-27
Category : Computers
ISBN : 9783030877569

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Algorithmic Decision Theory by Dimitris Fotakis,David Ríos Insua Pdf

This book constitutes the conference proceedings of the 7th International Conference on Algorithmic Decision Theory, ADT 2021, held in Toulouse, France, in November 2021. The 27 full papers presented were carefully selected from 58 submissions. The papers focus on algorithmic decision theory broadly defined, seeking to bring together researchers and practitioners coming from diverse areas of computer science, economics and operations research in order to improve the theory and practice of modern decision support.

Author : Anonim
Publisher : Unknown
Page : 360 pages
File Size : 46,8 Mb
Release : 2012-02-23
Category : Electronic
ISBN : 3642248748

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Algorithmic Decision Theory by Anonim Pdf

Author : Toby Walsh
Publisher : Springer
Page : 593 pages
File Size : 47,9 Mb
Release : 2015-08-27
Category : Computers
ISBN : 9783319231143

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Algorithmic Decision Theory by Toby Walsh Pdf

This book constitutes the thoroughly refereed conference proceedings of the 4th International Conference on Algorithmic Decision Theory , ADT 2015, held in September 2015 in Lexington, USA. The 32 full papers presented were carefully selected from 76 submissions. The papers are organized in topical sections such as preferences; manipulation, learning and other issues; utility and decision theory; argumentation; bribery and control; social choice; allocation and other problems; doctoral consortium.

Author : Tim Roughgarden
Publisher : Cambridge University Press
Page : 357 pages
File Size : 49,6 Mb
Release : 2016-09-01
Category : Computers
ISBN : 9781316782095

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Twenty Lectures on Algorithmic Game Theory by Tim Roughgarden Pdf

Computer science and economics have engaged in a lively interaction over the past fifteen years, resulting in the new field of algorithmic game theory. Many problems that are central to modern computer science, ranging from resource allocation in large networks to online advertising, involve interactions between multiple self-interested parties. Economics and game theory offer a host of useful models and definitions to reason about such problems. The flow of ideas also travels in the other direction, and concepts from computer science are increasingly important in economics. This book grew out of the author's Stanford University course on algorithmic game theory, and aims to give students and other newcomers a quick and accessible introduction to many of the most important concepts in the field. The book also includes case studies on online advertising, wireless spectrum auctions, kidney exchange, and network management.

Author : Dimitris Fotakis,David Ríos Insua
Publisher : Unknown
Page : 0 pages
File Size : 50,5 Mb
Release : 2021
Category : Electronic
ISBN : 3030877574

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Algorithmic Decision Theory by Dimitris Fotakis,David Ríos Insua Pdf

This book constitutes the conference proceedings of the 7th International Conference on Algorithmic Decision Theory, ADT 2021, held in Toulouse, France, in November 2021. The 27 full papers presented were carefully selected from 58 submissions. The papers focus on algorithmic decision theory broadly defined, seeking to bring together researchers and practitioners coming from diverse areas of computer science, economics and operations research in order to improve the theory and practice of modern decision support.

Author : Mykel J. Kochenderfer,Tim A. Wheeler,Kyle H. Wray
Publisher : MIT Press
Page : 701 pages
File Size : 45,5 Mb
Release : 2022-08-16
Category : Computers
ISBN : 9780262047012

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Algorithms for Decision Making by Mykel J. Kochenderfer,Tim A. Wheeler,Kyle H. Wray Pdf

A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them. Automated decision-making systems or decision-support systems—used in applications that range from aircraft collision avoidance to breast cancer screening—must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them. The book first addresses the problem of reasoning about uncertainty and objectives in simple decisions at a single point in time, and then turns to sequential decision problems in stochastic environments where the outcomes of our actions are uncertain. It goes on to address model uncertainty, when we do not start with a known model and must learn how to act through interaction with the environment; state uncertainty, in which we do not know the current state of the environment due to imperfect perceptual information; and decision contexts involving multiple agents. The book focuses primarily on planning and reinforcement learning, although some of the techniques presented draw on elements of supervised learning and optimization. Algorithms are implemented in the Julia programming language. Figures, examples, and exercises convey the intuition behind the various approaches presented.

Author : Kevin Werbach
Publisher : Cambridge University Press
Page : 251 pages
File Size : 52,6 Mb
Release : 2020-07-23
Category : Computers
ISBN : 9781108426633

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After the Digital Tornado by Kevin Werbach Pdf

Leading technology scholars examine how networks powered by algorithms are transforming humanity, posing deep questions about power, freedom, and fairness. This title is also available as Open Access on Cambridge Core.

Author : RONEN BRAFMAN,Fred S. Roberts,Alexis Tsoukias
Publisher : Springer
Page : 345 pages
File Size : 44,5 Mb
Release : 2011-10-12
Category : Computers
ISBN : 9783642248733

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Algorithmic Decision Theory by RONEN BRAFMAN,Fred S. Roberts,Alexis Tsoukias Pdf

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 : Marcus Hutter
Publisher : Springer Science & Business Media
Page : 294 pages
File Size : 43,5 Mb
Release : 2005-12-29
Category : Computers
ISBN : 9783540268772

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Universal Artificial Intelligence by Marcus Hutter Pdf

Personal motivation. The dream of creating artificial devices that reach or outperform human inteUigence is an old one. It is also one of the dreams of my youth, which have never left me. What makes this challenge so interesting? A solution would have enormous implications on our society, and there are reasons to believe that the AI problem can be solved in my expected lifetime. So, it's worth sticking to it for a lifetime, even if it takes 30 years or so to reap the benefits. The AI problem. The science of artificial intelligence (AI) may be defined as the construction of intelligent systems and their analysis. A natural definition of a system is anything that has an input and an output stream. Intelligence is more complicated. It can have many faces like creativity, solving prob lems, pattern recognition, classification, learning, induction, deduction, build ing analogies, optimization, surviving in an environment, language processing, and knowledge. A formal definition incorporating every aspect of intelligence, however, seems difficult. Most, if not all known facets of intelligence can be formulated as goal driven or, more precisely, as maximizing some utility func tion. It is, therefore, sufficient to study goal-driven AI; e. g. the (biological) goal of animals and humans is to survive and spread. The goal of AI systems should be to be useful to humans.

Author : Daniel Kroening,Ofer Strichman
Publisher : Springer
Page : 356 pages
File Size : 49,9 Mb
Release : 2016-11-22
Category : Computers
ISBN : 9783662504970

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Decision Procedures by Daniel Kroening,Ofer Strichman Pdf

A decision procedure is an algorithm that, given a decision problem, terminates with a correct yes/no answer. Here, the authors focus on theories that are expressive enough to model real problems, but are still decidable. Specifically, the book concentrates on decision procedures for first-order theories that are commonly used in automated verification and reasoning, theorem-proving, compiler optimization and operations research. The techniques described in the book draw from fields such as graph theory and logic, and are routinely used in industry. The authors introduce the basic terminology of satisfiability modulo theories and then, in separate chapters, study decision procedures for each of the following theories: propositional logic; equalities and uninterpreted functions; linear arithmetic; bit vectors; arrays; pointer logic; and quantified formulas.