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Engineering Multi-Agent Systems

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Cover of 'Engineering Multi-Agent Systems'

Table of Contents

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    Book Overview
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    Chapter 1 SeSaMe: Towards a Semantic Self Adaptive Middleware for Smart Spaces
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    Chapter 2 Propagating AUML Protocols to Detailed Design
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    Chapter 3 2COMM: A Commitment-Based MAS Architecture
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    Chapter 4 Benchmarking Communication in Actor- and Agent-Based Languages
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    Chapter 5 Applying an O-MaSE Compliant Process to Develop a Holonic Multiagent System for the Evaluation of Intelligent Power Distribution Systems
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    Chapter 6 Embedding Agents in Business Processes Using Enterprise Integration Patterns
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    Chapter 7 Belief Caching in 2APL
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    Chapter 8 Deciding between Conflicting Influences
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    Chapter 9 A Multi-agent Approach to Professional Software Engineering
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    Chapter 10 Alternatives to Threshold-Based Desire Selection in Bayesian BDI Agents
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    Chapter 11 Engineering Pervasive Multiagent Systems in SAPERE
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    Chapter 12 An Infrastructure for the Design and Development of Open Interaction Systems
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    Chapter 13 GoalSPEC: A Goal Specification Language Supporting Adaptivity and Evolution
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    Chapter 14 Mutation Operators for the Goal Agent Language
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    Chapter 15 Automatic BDI Plan Recognition from Process Execution Logs and Effect Logs
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    Chapter 16 Multi-Agent Programming Contest 2013
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    Chapter 17 SMADAS: A Team for MAPC Considering the Organization and the Environment as First-Class Abstractions
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    Chapter 18 Engineering a Multi-Agent System in GOAL
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    Chapter 19 Improving the LTI-USP Team: A New JaCaMo Based MAS for the MAPC 2013
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    Chapter 20 Multi-Agent Programming Contest 2013: TUB Team Description
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    Chapter 21 Prior State Reasoning in Multi-agent Systems and Graph-Theoretical Algorithms
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    Chapter 22 Multi-Agent Programming Contest 2013: The Teams and the Design of Their Systems
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Title
Engineering Multi-Agent Systems
Published by
Springer Berlin Heidelberg, December 2013
DOI 10.1007/978-3-642-45343-4
ISBNs
978-3-64-245342-7, 978-3-64-245343-4
Editors

Cossentino, Massimo, Fallah Seghrouchni, Amal, Winikoff, Michael

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Unknown 48 100%
Readers by discipline Count As %
Unknown 48 100%