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12 册 图书

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检索条件"丛书名=SpringerBriefs in Intelligent Systems"

共 12 条记录，以下是1-10 订阅

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Vision-Based Human Activity Recognition 1st ed. 2022

引用

丛书名： springerbriefs in intelligent systems

2022年

作者： Zhongxu Hu Chen Lv

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Practical Modelling of Dynamic Decision Making 1st ed. 2019

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丛书名： springerbriefs in intelligent systems

2019年

作者： Rick Evertsz John Thangarajah Thanh Ly

ISBN: (数字)9783319951959

ISBN: (纸本)9783319951942

This book presents TDF (Tactics Development Framework), a practical methodology for eliciting and engineering models of expert decision-making in dynamic domains. The authors apply the BDI (Beliefs, Desires, Intentions) paradigm to the elicitation and modelling of dynamic decision making expertise, including team behaviour, and map it to a diagrammatic representation that is intuitive to domain experts. The book will be of value to researchers and practitioners engaged in dynamic decision making.

关键词： Decision making Simulation methods.

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Centrality and Diversity in Search 1st ed. 2019

引用

丛书名： springerbriefs in intelligent systems

2019年

作者： M.N. Murty Anirban Biswas

ISBN: (数字)9783030247133

ISBN: (纸本)9783030247126

The concepts of centrality and diversity are highly important in search algorithms, and play central roles in applications of artificial intelligence (AI), machine learning (ML), social networks, and pattern recognition. This work examines the significance of centrality and diversity in representation, regression, ranking, clustering, optimization, and classification. The text is designed to be accessible to a broad readership. Requiring only a basic background in undergraduate-level mathematics, the work is suitable for senior undergraduate and graduate students, as well as researchers working in machine learning, data mining, social networks, and pattern recognition.

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Belief Change 1st ed. 2018

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丛书名： springerbriefs in intelligent systems

2018年

作者： Eduardo Fermé Sven Ove Hansson

ISBN: (数字)9783319605357

ISBN: (纸本)9783319605333

This book explains how the logic of theory change employs formal models in the investigation of changes in belief states and databases. The topics covered include equivalent characterizations of AGM operations, extended representations of the belief states, change operators not included in the original framework, iterated change, applications of the model, its connections with other formal frameworks, and criticism of the model.

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Introduction to Learning Classifier systems 1

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丛书名： springerbriefs in intelligent systems

2017年

作者： Ryan J. Urbanowicz Will N. Browne

ISBN: (数字)9783662550076

ISBN: (纸本)9783662550069

This accessible introduction shows the reader how to understand, implement, adapt, and apply Learning Classifier systems (LCSs) to interesting and difficult problems. The text builds an understanding from basic ideas and concepts. The authors first explore learning through environment interaction, and then walk through the components of LCS that form this rule-based evolutionary algorithm. The applicability and adaptability of these methods is highlighted by providing descriptions of common methodological alternatives for different components that are suited to different types of problems from data mining to autonomous robotics. The authors have also paired exercises and a simple educational LCS (eLCS) algorithm (implemented in Python) with this book. It is suitable for courses or self-study by advanced undergraduate and postgraduate students in subjects such as Computer Science, Engineering, Bioinformatics, and Cybernetics, and by researchers, data analysts, and machine learning practitioners.

关键词： Artificial Intelligence Computational Intelligence Optimization Computational Biology/Bioinformatics Control, Robotics, Mechatronics Theory of Computation

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A Concise Introduction to Decentralized POMDPs 1st ed. 2016

引用

丛书名： springerbriefs in intelligent systems

2016年

作者： Frans A. Oliehoek Christopher Amato

ISBN: (数字)9783319289298

ISBN: (纸本)9783319289274

This book introduces multiagent planning under uncertainty as formalized by decentralized partially observable Markov decision processes (Dec-POMDPs). The intended audience is researchers and graduate students working in the fields of artificial intelligence related to sequential decision making: reinforcement learning, decision-theoretic planning for single agents, classical multiagent planning, decentralized control, and operations research.

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Evolutionary Humanoid Robotics 1

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丛书名： springerbriefs in intelligent systems

2015年

作者： Malachy Eaton (auth.)

This book examines how two distinct strands of research on autonomous robots, evolutionary robotics and humanoid robot research, are converging. The book will be valuable for researchers and postgraduate students work... 详细信息

ISBN: (数字)9783662445990

ISBN: (纸本)9783662445983;9783662445990

关键词： Evolutionary robotics.

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Constraint Solving and Planning with Picat 1

引用

丛书名： springerbriefs in intelligent systems

2015年

作者： Neng-Fa Zhou Håkan Kjellerstrand Jonathan Fruhman

ISBN: (数字)9783319258836

ISBN: (纸本)9783319258812

Many complex systems, ranging from social, industrial, economics, financial, educational, to military, require that we obtain high-quality solutions to combinatorial problems. Linear programming and its extensions developed in operations research once formed the primary paradigm for solving combinatorial problems. During the last three decades, a plethora of paradigms have been developed for combinatorial problems, including constraint programming (CP), propositional satisfiability testing (SAT), satisfiability modulo theories (SMT), answer set programming (ASP), tabled logic programming, and heuristic search *** is a new logic-based multi-paradigm programming language that integrates logic programming, functional programming, dynamic programming with tabling, and scripting. Picat provides facilities for solving combinatorial search problems, including solver modules that are based on CP, SAT, and MIP (mixed integer programming), and a module for planning that is implemented by the use of tabling. Chapter 1 gives an overview of the Picat language and *** book presents Picat as a modeling and solving language for two important classes of combinatorial problems: constraint satisfaction and planning. The constraint satisfaction problem (CSP) is a basic class of combinatorial problems. A CSP consists of a set of variables, each of which is defined over a domain, a set of constraints among the variables, and, optionally, an objective function. A solution to a CSP is a valuation of the variables that satisfies all the constraints and optimizes the objective function, if it exists. Chapters 2 and 3 are devoted to constraint modeling. Chapter 2 introduces the basic built-in constraints in the common API of the three solver modules (cp, sat, and mip), and gives several simple example models that use these constraints. Chapter 3 describes the more sophisticated constraints in the API and gives ``real-world'' example models for scheduling, resource allocatio

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Belief Change 1

引用

丛书名： springerbriefs in intelligent systems

1000年

作者： Eduardo Fermé Sven Ove Hansson

来源：评论

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Multi-Winner Voting with Approval Preferences 1

引用

丛书名： springerbriefs in intelligent systems

1000年

作者： Martin Lackner Piotr Skowron

ISBN: (数字)9783031090165

ISBN: (纸本)9783031090158

From fundamental concepts and results to recent advances in computational social choice, this open access book provides a thorough and in-depth look at multi-winner voting based on approval preferences. The main focus is on axiomatic analysis, algorithmic results and several applications that are relevant in artificial intelligence, computer science and elections of any kind.;What is the best way to select a set of candidates for a shortlist, for an executive committee, or for product recommendations? Multi-winner voting is the process of selecting a fixed-size set of candidates based on the preferences expressed by the voters. A wide variety of decision processes in settings ranging from politics (parliamentary elections) to the design of modern computer applications (collaborative filtering, dynamic Q&A platforms, diversity in search results, etc.) share the problem of identifying a representative subset of alternatives. The study of multi-winner voting provides the principled analysis of this task.;Approval-based committee voting rules (in short: ABC rules) are multi-winner voting rules particularly suitable for practical use. Their usability is founded on the straightforward form in which the voters can express preferences: voters simply have to differentiate between approved and disapproved candidates. Proposals for ABC rules are numerous, some dating back to the late 19th century while others have been introduced only very recently. This book explains and discusses these rules, highlighting their individual strengths and weaknesses. With the help of this book, the reader will be able to choose a suitable ABC voting rule in a principled fashion, participate in, and be up to date with the ongoing research on this topic.

关键词： Artificial Intelligence Social Choice/Welfare Economics/Public Choice/Political Economy Theory of Computation Multiagent systems

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