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Artificial Intelligence and Cognitive Science

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Cover of 'Artificial Intelligence and Cognitive Science'

Table of Contents

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    Book Overview
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    Chapter 1 On the Usefulness of Extracting Syntactic Dependencies for Text Indexing
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    Chapter 2 Using Latent Semantic Indexing as a Measure of Conceptual Association for Noun Compound Disambiguation
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    Chapter 3 RADAR: Finding Analogies Using Attributes of Structure
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    Chapter 4 Classifying Languages Based on Speech Rhythm
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    Chapter 5 Finding Agents in a Two-Dimensional Boolean STaM
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    Chapter 6 Neuro-symbolic System for Forecasting Red Tides
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    Chapter 7 Improved Learning for Hidden Markov Models Using Penalized Training
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    Chapter 8 Recovering High-Level Structure of Software Systems Using a Minimum Description Length Principle
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    Chapter 9 A System for Multi-agent Information Retrieval
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    Chapter 10 All There Is to the Mind Is to Have the Right Genes, or, Consciousness as a Form of Genetic Engineering
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    Chapter 11 Towards Robust Collaborative Filtering
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    Chapter 12 GVR: A New Genetic Representation for the Vehicle Routing Problem
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    Chapter 13 An Empirical Comparison of Particle Swarm and Predator Prey Optimisation
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    Chapter 14 Data Mining Support for Case-Based Collaborative Recommendation
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    Chapter 15 The Feasibility of Machine Learning for Query Answering — An Experiment in Two Domains
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    Chapter 16 Meta-knowledge Annotation for Efficient Natural-Language Question-Answering
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    Chapter 17 Financial Time Series Modelling Using Neural Networks: An Assessment of the Utility of a Stacking Methodology
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    Chapter 18 Experiments in Sparsity Reduction: Using Clustering in Collaborative Recommenders
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    Chapter 19 Identification of Visual Features Using a Neural Version of Exploratory Projection Pursuit
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    Chapter 20 How People Compare an Item’s Placement in Two Alternative Categories
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    Chapter 21 Investigations into Market Index Trading Models Using Evolutionary Automatic Programming
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    Chapter 22 An Interactive Story Engine
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    Chapter 23 Coherence, Explanation, and Bayesian Networks
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    Chapter 24 Combining Case-Based Reasoning and Analogical Reasoning in Software Design
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    Chapter 25 Combination Methods for Improving the Reliability of Machine Translation Based Cross-Language Information Retrieval
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    Chapter 26 A System for Music Information Retrieval
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    Chapter 27 A New Bayesian Network Structure for Classification Tasks
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    Chapter 28 Evaluating Preference-Based Feedback in Recommender Systems
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    Chapter 29 Design of a Musical Instrument Classifier System Based on Mel Scaled Cepstral Coefficient Supervectors and a Supervised Two-Layer Feedforward Neural Network
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    Chapter 30 An Interactive Learning Environment for Knowledge Engineering
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    Chapter 31 Customising a Copying-Identi.er for Biomedical Science Student Reports: Comparing Simple and Smart Analyses
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    Chapter 32 A Hybridised GA for the Steiner Minimal Tree Problem
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    Chapter 33 Speaking Autonomous Intelligent Devices
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Title
Artificial Intelligence and Cognitive Science
Published by
Springer, Berlin, Heidelberg, January 2002
DOI 10.1007/3-540-45750-x
ISBNs
978-3-54-044184-7, 978-3-54-045750-3
Editors

Michael O’Neill, Richard F. E. Sutcliffe, Conor Ryan, Malachy Eaton, Niall J. L. Griffith

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 200%
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Business, Management and Accounting 2 200%
Engineering 1 100%