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Francesco Ricci, Paul B. Kantor, Lior Rokach, Bracha Shapira
出版情報: Springer eBooks Computer Science , Springer US, 2011
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Miltos Petridis, Adrian Hopgood Max Bramer, Max Bramer, Adrian Hopgood, Miltos Petridis
出版情報: Springer eBooks Computer Science , Springer London, 2011
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Johannes F?rnkranz, Johannes F?rnkranz, Eyke H?llermeier, Eyke H?llermeier
出版情報: Springer eBooks Computer Science , Springer Berlin Heidelberg, 2011
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Preference Learning: An Introduction / Johannes Fürnkranz ; Eyke Hüllermeier
A Preference Optimization Based Unifying Framework for Supervised Learning Problems / Fabio Aiolli ; Alessandro Sperduti
Label Ranking / Part I:
Label Ranking Algorithms: A Survey / Shankar Vembu ; Thomas Gärtner
Preference Learning and Ranking by Pairwise Comparison
Decision Tree Modeling for Ranking Data / Philip L.H. Yu ; Wai Ming Wan ; Paul H. Lee
Co-Regularized Least-Squares for Label Ranking / Evgeni Tsivtsivadze ; Tapio Pahikkala ; Jorma Boberg ; Tapio Salakoski ; Tom Heskes
Instance Ranking / Part II:
A Survey on ROC-Based Ordinal Regression / Willem Waegeman ; Bernard De Baets
Ranking Cases with Classification Rules / Jianping Zhang ; Jerzy W. Bala ; Ali Hadjarian ; Brent Han
Object Ranking / Part III:
A Survey and Empirical Comparison of Object Ranking Methods / Toshihiro Kamishima ; Hideto Kazawa ; Shotaro Akaho
Dimension Reduction for Object Ranking
Learning of Rule Ensembles for Multiple Attribute Ranking Problems / Krzysztof Dembczynski ; Wojciech Kotlowski ; Roman Slowinski ; Marcin Szelag
Preferences in Multi-Attribute Domains / Part IV:
Learning Lexicographic Preference Models / Fusun Yaman ; Thomas J. Walsh ; Michael L. Littman ; Marie desJardins
Learning Ordinal Preferences on Multiattribute Domains: The Case of CP-nets / Yann Chevaleyre ; Frédéric Koriche ; Jérome Lang ; Jérome Mengin ; Bruno Zanuttini
Choice-Based Conjoint Analysis: Classification vs. Discrete Choice Models / Joachim Giesen ; Klaus Mueller ; Bilyana Taneva ; Peter Zolliker
Learning Aggregation Operators for Preference Modeling / Vicenç Torra
Preferences in Information Retrieval / Part V:
Evaluating Search Engine Relevance with Click-Based Metrics / Filip Radlinski ; Madhu Kurup ; Thorsten Joachims
Learning SVM Ranking Functions from User Feedback Using Document Metadata and Active Learning in the Biomedical Domain / Robert Arens
Preferences in Recommender Systems / Part VI:
Learning Preference Models in Recommender Systems / Marco de Gemmis ; Leo Iaquinta ; Pasquale Lops ; Cataldo Musto ; Fedelucio Narducci ; Giovanni Semeraro
Collaborative Preference Learning / Alexandros Karatzoglou ; Markus Weimer
Discerning Relevant Model Features in a Content-Based Collaborative Recommender System / Alejandro Bellogín ; Iván Cantador ; Pablo Castells ; Álvaro Ortigosa
Subject Index
Author Index
Preference Learning: An Introduction / Johannes Fürnkranz ; Eyke Hüllermeier
A Preference Optimization Based Unifying Framework for Supervised Learning Problems / Fabio Aiolli ; Alessandro Sperduti
Label Ranking / Part I:
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Joaquim Filipe, Ana Fred, Bernadette Sharp
出版情報: Springer eBooks Computer Science , Springer Berlin Heidelberg, 2011
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Invited Paper
Creating and Exploiting a Hybrid Knowledge Base for Linked Data / Zareen Syed ; Tim Finin
Artificial Intelligence / Part I:
Language Support to XML Data Mining: A Case Study / Andrea Romei ; Franco Turini
Improved Door Detection Fusing Camera and Laser Rangefinder Data with AdaBoosting / Jens Hensler ; Michael Blaich ; Oliver Bittel
Combining Color and Spatial Color Distribution Information in a Fuzzy Rule Based Compact Composite Descriptor / Savvas A. Chatzichristofis ; Yiannis S. Boutalis ; Mathias Lux
Towards Min Max Generalization in Reinforcement Learning / Raphael Fonteneau ; Susan A. Murphy ; Louis Wehenkel ; Damien Ernst
Designing an Epigenetic Approach in Artificial Life: The EpiAL Model / Jorge A.B. Sousa ; Ernesto Costa
A Spontaneous Topic Change of Dialogue for Conversational Agent Based on Human Cognition and Memory / Sungsoo Lim ; Keunhyun Oh ; Sung-Bae Cho
Clustering Data with Temporal Evolution: Application to Electrophysiological Signals / Liliana A.S. Medina ; Ana L.N. Fred
Agents / Part II:
MASITS Methodology Supported Development of Agent Based Intelligent Tutoring System MIPITS / Egons Lavendelis ; Janis Grundspenkis
A 3D Indoor Pedestrian Simulator Using an Enhanced Floor Field Model / Chulmin Jun ; Hyeyoung Kim
Toward a Self-adaptive Multi-Agent System to Control Dynamic Processes / Sylvain Videau ; Carole Bernon ; Pierre Glize
The Provider Rating Agreement Pattern for Solving the Provider Selection Problem / José Javier Durán ; Carlos A. Iglesias
Advanced Scheduling Techniques with the Pliant System for High-Level Grid Brokering / József Dániel Dombi ; Attila Kertész
Predictive Learning from Demonstration / Erik A. Billing ; Thomas Hellström ; Lars-Erik Janlert
ISReal: A Platform for Intelligent Simulated Realities / Stefan Nesbigall ; Stefan Warwas ; Patrick Kapahnke ; René Schubotz ; Matthias Klusch ; Klaus Fischer ; Philipp Slusallek
Auction Design and Performance: An Agent-Based Simulation with Endogenous Participation / Atakelty Hailu ; John Rolfe ; Jill Windle ; Romy Greiner
A Framework for the Development and Maintenance of Adaptive, Dynamic, Context-Aware Information Services / Manel Palau ; Ignasi Gómez-Sebastià ; Luigi Ceccaroni ; Javier Vázquez-Salceda ; Juan Carlos Nieves
Decision Making in Complex Systems with an Interdisciplinary Approach / Marina V. Sokolova ; Antonio Fernández-Caballero ; Francisco J. Gómez
Author Index
Invited Paper
Creating and Exploiting a Hybrid Knowledge Base for Linked Data / Zareen Syed ; Tim Finin
Artificial Intelligence / Part I:
5.

電子ブック

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Maarten H. Lamers, Paolo Bellavista, Fons J. Verbeek
出版情報: Springer eBooks Computer Science , Springer Berlin Heidelberg, 2011
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Loving Machines: Theorizing Human and Sociable-Technology Interaction / Glenda Shaw-Garlock
Towards a Sociological Understanding of Robots as Companions / Ellen van Oost ; Darren Reed
The Development of an Online Research Tool to Investigate Children's Social Bonds with Robots / Dana Nathalie Veenstra ; Vanessa Evers
Spatial Sounds (lOOdB at lOOkm/h) in the Context of Human Robot Personal Relationships / Edwin van der Heide
Interaction between Task Oriented and Affective Information Processing in Cognitive Robotics / Pascal Haazebroek ; Saskia van Dantzig ; Bernhard Hommel
Children's Perception and Interpretation of Robots and Robot Behaviour / Sajida Bhamjee ; Frances Griffiths ; Julie Palmer
Can Children Have a Relationship with a Robot? / Tanya N. Beran ; Alejandro Ramirez-Serrano
From Speech to Emotional Interaction: EmotiRob Project / Marc Le Tallec ; Sébastien Saint-Aimé ; Céline Jost ; Jeanne Villaneau ; Jean-Yves Antoine ; Sabine Letellier-Zarshenas ; Brigitte Le-Pévédic ; Dominique Duhaut
Investigation on Requirements of Robotic Platforms to Teach Social Skills to Individuals with Autism / Chris Nikolopoulos ; Deitra Kuester ; Mark Sheehanr ; Sneha Dhanya
"Adventures of Harvey" - Use, Acceptance of and Relationship Building with a Social Robot in a Domestic Environment / Tineke Klamer ; Somaya Ben Allouch ; Dirk Heylen
The Potential of Socially Assistive Robotics in Care for Elderly, a Systematic Review / Roger Bemelmans ; Gert Jan Gelderblom ; Pieter Jonker ; Luc de Witte
The Yume Project: Artists and Androids / Michael Honeck ; Yan Lin ; David Teot ; Ping Li ; Christine M. Barnes
Digital Adultery "Meta-Anon Widows," Real-World Divorce, and the Need for a Virtual Sexual Ethic / William David Spencer
Modeling Mixed Groups of Humans and Robots with Reflexive Game Theory / Sergey Tarasenko
A Design Process for Lovotics / Hooman Aghaebrahimi Samani ; Adrian David Cheok ; Mili John Tharakan ; Jeffrey Koh ; Newton Fernando
Talking to Robots: On the Linguistic Construction of Personal Human-Robot Relations / Mark Coeckelbergh
Using Empathy to Improve Human-Robot Relationships / André Pereira ; Iolanda Leite ; Samuel Mascarenhas ; Carlos Martinho ; Ana Paiva
Author Index
Loving Machines: Theorizing Human and Sociable-Technology Interaction / Glenda Shaw-Garlock
Towards a Sociological Understanding of Robots as Companions / Ellen van Oost ; Darren Reed
The Development of an Online Research Tool to Investigate Children's Social Bonds with Robots / Dana Nathalie Veenstra ; Vanessa Evers
6.

電子ブック

EB
Wolfgang Ertel
出版情報: Springer eBooks Computer Science , Springer London, 2011
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Introduction / 1:
What Is Artificial Intelligence? / 1.1:
Brain Science and Problem Solving / 1.1.1:
The Turing Test and Chatterbots / 1.1.2:
The History of AI / 1.2:
The First Beginnings / 1.2.1:
Logic Solves (Almost) All Problems / 1.2.2:
The New Connection ism / 1.2.3:
Reasoning Under Uncertainty / 1.2.4:
Distributed, Autonomous and Learning Agents / 1.2.5:
AI Grows up / 1.2.6:
Agents / 1.3:
Knowledge-Based Systems / 1.4:
Exercises / 1.5:
Propositional Logic / 2:
Syntax / 2.1:
Semantics / 2.2:
Proof Systems / 2.3:
Resolution / 2.4:
Horn Clauses / 2.5:
Computability and Complexity / 2.6:
Applications and Limitations / 2.7:
First-order Predicate Logic / 2.8:
Equality / 3.1:
Quantifiers and Normal Forms / 3.3:
ProofCalculi / 3.4:
Resolution Strategies / 3.5:
Automated Theorem Provers / 3.5.2:
Mathematical Examples / 3.7:
Applications / 3.8:
Summary / 3.9:
Limitations of Logic / 3.10:
The Search Space Problem / 4.1:
Decidability and Incompleteness / 4.2:
The Flying Penguin / 4.3:
Modeling Uncertainty / 4.4:
Logic Programming with Prolog / 4.5:
Prolog Systems and Implementations / 5.1:
Simple Examples / 5.2:
Execution Control and Procedural Elements / 5.3:
Lists / 5.4:
Self-modifying Programs / 5.5:
A Planning Example / 5.6:
Constraint Logic Programming / 5.7:
Search, Games and Problem Solving / 5.8:
Uninformed Search / 6.1:
Breadth-First Search / 6.2.1:
Depth-First Search / 6.2.2:
Iterative Deepening / 6.2.3:
Comparison / 6.2.4:
Heuristic Search / 6.3:
Greedy Search / 6.3.1:
A-Search / 6.3.2:
Ida-Search / 6.3.3:
Empirical Comparison of the Search Algorithms / 6.3.4:
Games with Opponents / 6.3.5:
Minimax Search / 6.4.1:
Alpha-Beta-Pruning / 6.4.2:
Non-deterministic Games / 6.4.3:
Heuristic Evaluation Functions / 6.5:
Learning of Heuristics / 6.5.1:
State of the Art / 6.6:
Reasoning with Uncertainty / 6.7:
Computing with Probabilities / 7.1:
Conditional Probability / 7.1.1:
The Principle of Maximum Entropy / 7.2:
An Inference Rule for Probabilities / 7.2.1:
Maximum Entropy Without Explicit Constraints / 7.2.2:
Conditional Probability Versus Material Implication / 7.2.3:
MaxEnt-Systems / 7.2.4:
The Tweety Example / 7.2.5:
Lexmed, an Expert System for Diagnosing Appendicitis / 7.3:
Appendicitis Diagnosis with Formal Methods / 7.3.1:
Hybrid Probabilistic Knowledge Base / 7.3.2:
Application of Lexmed / 7.3.3:
Function of Lexmed / 7.3.4:
Risk Management Using the Cost Matrix / 7.3.5:
Performance / 7.3.6:
Application Areas and Experiences / 7.3.7:
Reasoning with Bayesian Networks / 7.4:
Independent Variables / 7.4.1:
Graphical Representation of Knowledge as a Bayesian Network / 7.4.2:
Conditional Independence / 7.4.3:
Practical Application / 7.4.4:
Software for Bayesian Networks / 7.4.5:
Development of Bayesian Networks / 7.4.6:
Semantics of Bayesian Networks / 7.4.7:
Machine Learning and Data Mining / 7.5:
Data Analysis / 8.1:
The Perceptron, a Linear Classifier / 8.2:
The Learning Rule / 8.2.1:
Optimization and Outlook / 8.2.2:
The Nearest Neighbor Method / 8.3:
Two Classes, Many Classes, Approximation / 8.3.1:
Distance Is Relevant / 8.3.2:
Computation Times / 8.3.3:
Summary and Outlook / 8.3.4:
Case-Based Reasoning / 8.3.5:
Decision Tree Learning / 8.4:
A Simple Example / 8.4.1:
Entropy as a Metric for Information Content / 8.4.2:
Information Gain / 8.4.3:
Application of C4.5 / 8.4.4:
Learning of Appendicitis Diagnosis / 8.4.5:
Continuous Attributes / 8.4.6:
PruningùCutting the Tree / 8.4.7:
Missing Values / 8.4.8:
Learning of Bayesian Networks / 8.4.9:
Learning the Network Structure / 8.5.l:
The Naive Bayes Classifier / 8:6:
Text Classification with Naive Bayes / 8.6.1:
Clustering / 8.7:
Distance Metrics / 8.7.1:
k-Means and the Em Algorithm / 8.7.2:
Hierarchical Clustering / 8.7.3:
Data Mining in Practice / 8.8:
The Data Mining Tool Knime / 8.8.1:
The Perceptron / 8.9:
Nearest Neighbor Method / 8.10.3:
Decision Trees / 8.10.4:
Data Mining / 8.10.5:
Neural Networks / 9:
From Biology to Simulation / 9.1:
The Mathematical Model / 9.1.1:
Hopfield Networks / 9.2:
Application to a Pattern Recognition Example / 9.2.1:
Analysis / 9.2.2:
Neural Associative Memory / 9.2.3:
Correlation Matrix Memory / 9.3.1:
The Pseudoinverse / 9.3.2:
The Binary Hebb Rule / 9.3.3:
A Spelling Correction Program / 9.3.4:
Linear Networks with Minimal Errors / 9.4:
Least Squares Method / 9.4.1:
Application to the Appendicitis Data / 9.4.2:
The Delta Rule / 9.4.3:
Comparison to the Perceptron / 9.4.4:
The Backpropagation Algorithm / 9.5:
Nettalk: A Network Learns to Speak / 9.5.1:
Learning of Heuristics for Theorem Provers / 9.5.2:
Problems and Improvements / 9.5.3:
Support Vector Machines / 9.6:
Backpropagation / 9.7:
Reinforcement Learning / 9.9.5:
The Task / 10.1:
Uninformed Combinatorial Search / 10.3:
Value Iteration and Dynamic Programming / 10.4:
A Learning Walking Robot and Its Simulation / 10.5:
Q-Learning / 10.6:
Q-Learning in a Nondeterministic Environment / 10.6.1:
Exploration and Exploitation / 10.7:
Approximation, Generalization and Convergence / 10.8:
Curse of Dimensionality / 10.9:
Solutions for the Exercises / 10.11:
First-Order Predicate Logic / 11.1:
Prolog / 11.4:
References / 11.6:
Index
Introduction / 1:
What Is Artificial Intelligence? / 1.1:
Brain Science and Problem Solving / 1.1.1:
7.

電子ブック

EB
Ernesto Sanchez, Massimiliano Schillaci, Giovanni Squillero
出版情報: Springer eBooks Computer Science , Springer US, 2011
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Evolutionary computation / 1:
Natural and artificial evolution / 1.1:
The classical paradigms / 1.2:
Genetic programming / 1.3:
Why yet another one evolutionary optimizer? / 2:
Background / 2.1:
Where to draw the lines / 2.2:
Individuals / 2.3:
Problem specification / 2.4:
Coding Techniques / 2.5:
The ?Gp architecture / 3:
Conceptual design / 3.1:
The evolutionary core / 3.2:
Evolutionary Operators / 3.2.1:
Population / 3.2.2:
The Evolutionary Cycle / 3.3:
Genetic operator selection / 3.3.1:
Parents selection / 3.3.2:
Offspring Generation / 3.3.3:
Individual Evaluation and Slaughtering / 3.3.4:
Termination and Aging / 3.3.5:
Advanced features / 4:
Self adaptation for exploration or exploitation / 4.1:
Self-adaptation inertia / 4.1.1:
Operator strength / 4.1.2:
Tournament size / 4.3.3:
Escaping local optimums / 4.2:
Operator activation probability / 4.2.1:
Tuning the elitism / 4.2.2:
Preserving diversity / 4.3:
Clone detection, scaling and extermination / 4.3.1:
Entropy and delta-entropy computation / 4.3.2:
Fitness holes
Population topology and multiple populations
Coping with the real problems / 4.4:
Parallel fitness evaluation / 4.4.1:
Multiple fitness / 4.4.2:
Performing an evolutionary run / 5:
Robot Pathfinder / 5.1:
?Gp Settings / 5.2:
Population Settings / 5.3:
Library of Constraints / 5.4:
Launching the experiment / 5.5:
?Gp Extractor / 5.6:
Command line syntax / 6:
Starting a run / 6.1:
Controlling messages to the user / 6.2:
Getting help and information / 6.3:
Controlling logging / 6.4:
Controlling recovery / 6.5:
Controlling evolution / 6.6:
Controlling evaluation / 6.7:
Syntax of the settings file / 7:
Syntax of the population parameters file / 7.1:
Strategy parameters / 8.1:
Base parameters / 8.1.1:
Parameters for self adaptation / 8.1.2:
Other parameters / 8.1.3:
Syntax of the external constraints file / 9:
Purposes of the constraints / 9.1:
Organization of constraints and hierarchy / 9.2:
Specifying the structure of the individual / 9.3:
Specifying the contents of the individual / 9.4:
Writing a compliant evaluator / 10:
Information from ?Gp to the fitness evaluator / 10.1:
Expected fitness format / 10.2:
Good Examples / 10.2.1:
Bad Examples / 10.2.2:
Implementation details / 11:
Design principles / 11.1:
Architectural choices / 11.2:
The Graph library / 11.2.1:
The Evolutionary Core library / 11.2.2:
Front end / 11.2.3:
Code organization and class model / 11.3:
Examples and applications / 12:
Classical one-max / 12.1:
Fitness evaluator / 12.1.1:
Constraints / 12.1.2:
Population settings / 12.1.3:
?Gp settings / 12.1.4:
Running / 12.1.5:
Values of parameters and their influence on the evolution: Arithmetic expressions / 13412.2:
De Jong 3 / 12.2.1:
De Jong 4-Modified / 12.2.2:
Carrom / 12.2.3:
Complex individuals' structures and evaluation: Bit-counting in Assembly / 12.3:
Assembly individuals representation / 12.3.1:
Evaluator / 12.3.2:
Argument and option synopsis / 12.3.3:
External constraints synopsis
References
Evolutionary computation / 1:
Natural and artificial evolution / 1.1:
The classical paradigms / 1.2:
8.

電子ブック

EB
Ran Chen, Ran Chen
出版情報: Springer eBooks Computer Science , Springer Berlin Heidelberg, 2011
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9.

電子ブック

EB
Ran Chen, Ran Chen
出版情報: Springer eBooks Computer Science , Springer Berlin Heidelberg, 2011
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10.

電子ブック

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Daoliang Li, Yingyi Chen, Yande Liu
出版情報: Springer eBooks Computer Science , Springer Berlin Heidelberg, 2011
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