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Agreement Technologies

Overview of attention for book
Cover of 'Agreement Technologies'

Table of Contents

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    Book Overview
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    Chapter 1 Towards an Approach for Modelling Uncertain Theory of Mind in Multi-Agent Systems
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    Chapter 2 On the Formal Semantics of Theory of Mind in Agent Communication
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    Chapter 3 Accountability for Practical Reasoning Agents
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    Chapter 4 Using Semantic Web Technologies and Production Rules for Reasoning on Obligations and Permissions
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    Chapter 5 Minimality and Simplicity of Rules for the Internet-of-Things
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    Chapter 6 Stream-Based Perception for Agents on Mobile Devices
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    Chapter 7 Distributed Ledger and Robust Consensus for Agreements
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    Chapter 8 The Challenge of Negotiation in the Game of Diplomacy
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    Chapter 9 Automated Negotiations Under User Preference Uncertainty: A Linear Programming Approach
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    Chapter 10 An Adversarial Algorithm for Delegation
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    Chapter 11 Policies to Regulate Distributed Data Exchange
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    Chapter 12 Developing a Method for Quantifying Degree of Discussion Progress Towards Automatic Facilitation of Web-Based Discussion
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    Chapter 13 Monotonicity, Duplication Monotonicity, and Pareto Optimality in the Scoring-Based Allocation of Indivisible Goods
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    Chapter 14 Dynamic Delivery Plan Adaptation in Open Systems
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    Chapter 15 Autonomous Vehicles Coordination Through Voting-Based Decision-Making
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    Chapter 16 Balancing Strategies for Bike Sharing Systems
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    Chapter 17 Towards Distributed Real-Time Coordination of Shoppers’ Routes in Smart Hypermarkets
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Title
Agreement Technologies
Published by
Springer International Publishing, June 2019
DOI 10.1007/978-3-030-17294-7
ISBNs
978-3-03-017293-0, 978-3-03-017294-7
Editors

Lujak, Marin

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 44%
Student > Master 2 22%
Professor 1 11%
Student > Doctoral Student 1 11%
Researcher 1 11%
Other 0 0%
Readers by discipline Count As %
Engineering 5 56%
Computer Science 3 33%
Business, Management and Accounting 1 11%