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Artificial Intelligence: Methodology, Systems, and Applications

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Cover of 'Artificial Intelligence: Methodology, Systems, and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Context Model for Multi-Agent System Reconfiguration
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    Chapter 2 NN-Based Multiagent Platform for Testing Investing Strategies
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    Chapter 3 Towards Agent-Oriented Relevant Information
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    Chapter 4 The Agent Modeling Language (AMOLA)
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    Chapter 5 Tailoring the Interpretation of Spatial Utterances for Playing a Board Game
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    Chapter 6 Artificial Intelligence: Methodology, Systems, and Applications
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    Chapter 7 Using Text Segmentation to Enhance the Cluster Hypothesis
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    Chapter 8 Multilingual Plagiarism Detection
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    Chapter 9 Dealing with Spoken Requests in a Multimodal Question Answering System
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    Chapter 10 Noun Compound Interpretation Using Paraphrasing Verbs: Feasibility Study
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    Chapter 11 Optimising Predictive Control Based on Neural Models
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    Chapter 12 Prototypes Based Relational Learning
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    Chapter 13 Robustness Analysis of SARSA( λ ): Different Models of Reward and Initialisation
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    Chapter 14 Thematic Segment Retrieval Revisited
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    Chapter 15 Implementing Prioritized Circumscription by Computing Disjunctive Stable Models
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    Chapter 16 Mapping Properties of Heterogeneous Ontologies
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    Chapter 17 A Logical Approach to Dynamic Role-Based Access Control
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    Chapter 18 Interpolative Boolean Logic
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    Chapter 19 Abstract Argumentation Scheme Frameworks
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    Chapter 20 Nested Precedence Networks with Alternatives: Recognition, Tractability, and Models
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    Chapter 21 Incorporating Learning in Grid-Based Randomized SAT Solving
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    Chapter 22 Solving the Course Timetabling Problem with a Hybrid Heuristic Algorithm
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    Chapter 23 Heuristic Hill-Climbing as a Markov Process
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    Chapter 24 DynABT: Dynamic Asynchronous Backtracking for Dynamic DisCSPs
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    Chapter 25 Centralized Indirect Control of an Anaerobic Digestion Bioprocess Using Recurrent Neural Identifier
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    Chapter 26 Logical Analysis of Mappings between Medical Classification Systems
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    Chapter 27 Modeling Reuse on Case-Based Reasoning with Application to Breast Cancer Diagnosis
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    Chapter 28 Toward Expert Knowledge Representation for Automatic Breast Cancer Detection
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    Chapter 29 Hybrid Wavelet-RBFNN Model for Monthly Anchovy Catches Forecasting
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    Chapter 30 Trilateration Analysis for Movement Planning in a Group of Mobile Robots
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    Chapter 31 Dynamic and Neuro-Dynamic Optimization of a Fed-Batch Fermentation Process
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    Chapter 32 Classification Model for Estimation of Risk Factors in Cardiological Diagnostics
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    Chapter 33 A Hybrid Approach to Distributed Constraint Satisfaction
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    Chapter 34 Interleaved Alldifferent Constraints: CSP vs. SAT Approaches
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    Chapter 35 Adaptation of Personality-Based Decision Making to Crowd Behavior Simulations
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    Chapter 36 Conceptualizing Interactions with Matchmakers and Front-Agents Using Formal Verification Methods
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    Chapter 37 A Social and Emotional Model for Obtaining Believable Emergent Behaviors
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    Chapter 38 A Learning Approach to Early Bug Prediction in Deployed Software
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    Chapter 39 Evolutionary Decision Support System for Stock Market Trading
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    Chapter 40 Suboptimal Nonlinear Predictive Control Based on Neural Wiener Models
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Title
Artificial Intelligence: Methodology, Systems, and Applications
Published by
Springer Berlin Heidelberg, August 2008
DOI 10.1007/978-3-540-85776-1
ISBNs
978-3-54-085775-4, 978-3-54-085776-1
Editors

Dochev, Danail, Pistore, Marco, Traverso, Paolo

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Professor > Associate Professor 1 14%
Student > Master 1 14%
Unknown 3 43%
Readers by discipline Count As %
Engineering 3 43%
Computer Science 1 14%
Unknown 3 43%