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Agents and Artificial Intelligence

Overview of attention for book
Cover of 'Agents and Artificial Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Using Incentives to Obtain Truthful Information
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    Chapter 2 Model Driven Design of Multiagent Systems
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    Chapter 3 Probabilistic Connection between Cross-Validation and Vapnik Bounds
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    Chapter 4 A Time-Varying Model to Simulate a Collective Decisional Problem
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    Chapter 5 Setting Up Particle Swarm Optimization by Decision Tree Learning Out of Function Features
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    Chapter 6 Collision Avoidance Using Partially Controlled Markov Decision Processes
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    Chapter 7 A Restricted Model Space Approach for the Detection of Epistasis in Quantitative Trait Loci Using Markov Chain Monte Carlo Model Composition
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    Chapter 8 Reasoning about Interest-Based Preferences
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    Chapter 9 Advantages of Information Granulation in Clustering Algorithms
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    Chapter 10 Modeling Motivations, Personality Traits and Emotional States in Deliberative Agents Based on Automated Planning
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    Chapter 11 Symbolic State-Space Exploration and Guard Generation in Supervisory Control Theory
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    Chapter 12 Developing Goal-Oriented Normative Agents: The NBDI Architecture
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    Chapter 13 Evaluation of Environment Contextual Services in Multiagent Systems
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    Chapter 14 Data Streams Classification: A Selective Ensemble with Adaptive Behavior
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    Chapter 15 On kNN Classification and Local Feature Based Similarity Functions
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    Chapter 16 Web Service Composition Plans in OWL-S
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    Chapter 17 Convergence Classification and Replication Prediction for Simulation Studies
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    Chapter 18 The Life of Concepts: An ABM of Conceptual Drift in Social Groups
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    Chapter 19 Improving File Sharing Experience with Incentive Based Coalitions
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    Chapter 20 Basics of Intersubjectivity Dynamics: Model of Synchrony Emergence When Dialogue Partners Understand Each Other
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    Chapter 21 Stability and Optimality in Matching Problems with Weighted Preferences
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    Chapter 22 A Conditional Game-Theoretic Approach to Cooperative Multiagent Systems Design
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    Chapter 23 On the Design of Agent-Based Artificial Stock Markets
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    Chapter 24 Defining Virtual Organizations Following a Formal Approach
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    Chapter 25 Reinforcement Learning for Self-organizing Wake-Up Scheduling in Wireless Sensor Networks
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    Chapter 26 Self-Organizing Logistics Process Control: An Agent-Based Approach
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    Chapter 27 Manipulation of Weighted Voting Games and the Effect of Quota
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    Chapter 28 Distributed Consequence Finding: Partition-Based and Cooperative Approaches
Overall attention for this book and its chapters
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Mentioned by

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2 patents
wikipedia
1 Wikipedia page

Readers on

mendeley
2 Mendeley
Summary Patents Wikipedia
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Title
Agents and Artificial Intelligence
Published by
Springer, Berlin, Heidelberg, January 2013
DOI 10.1007/978-3-642-29966-7
ISBNs
978-3-64-229965-0, 978-3-64-229966-7
Authors

Joaquim Filipe, Ana Fred

Editors

Joaquim Filipe, Ana Fred

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Unknown 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Unknown 1 50%

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