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Autonomous Agents and Multiagent Systems

Overview of attention for book
Cover of 'Autonomous Agents and Multiagent Systems'

Table of Contents

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    Book Overview
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    Chapter 1 A Language for Trust Modelling
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    Chapter 2 Abstraction Methods for Solving Graph-Based Security Games
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    Chapter 3 Can I Do That? Discovering Domain Axioms Using Declarative Programming and Relational Reinforcement Learning
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    Chapter 4 Simultaneous Optimization and Sampling of Agent Trajectories over a Network
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    Chapter 5 POMDPs for Assisting Homeless Shelters – Computational and Deployment Challenges
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    Chapter 6 Summarizing Simulation Results Using Causally-Relevant States
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    Chapter 7 Augmenting Agent Computational Environments with Quantitative Reasoning Modules and Customizable Bridge Rules
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    Chapter 8 Using Awareness to Promote Richer, More Human-Like Behaviors in Artificial Agents
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    Chapter 9 Using GDL to Represent Domain Knowledge for Automated Negotiations
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    Chapter 10 Simulating Urban Growth with Raster and Vector Models: A Case Study for the City of Can Tho, Vietnam
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    Chapter 11 Gamification of Multi-agent Systems Theory Classes
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    Chapter 12 Analysis of Market Trend Regimes for March 2011 USDJPY Exchange Rate Tick Data
Attention for Chapter 9: Using GDL to Represent Domain Knowledge for Automated Negotiations
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mendeley
4 Mendeley
Summary
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Chapter title
Using GDL to Represent Domain Knowledge for Automated Negotiations
Chapter number 9
Book title
Autonomous Agents and Multiagent Systems
Published in
Lecture notes in computer science, September 2016
DOI 10.1007/978-3-319-46840-2_9
Book ISBNs
978-3-31-946839-6, 978-3-31-946840-2
Authors

Dave de Jonge, Dongmo Zhang, de Jonge, Dave, Zhang, Dongmo

Editors

Nardine Osman, Carles Sierra

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 75%
Other 1 25%
Readers by discipline Count As %
Computer Science 4 100%

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