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Multi-Agent and Multi-Agent-Based Simulation

Overview of attention for book
Cover of 'Multi-Agent and Multi-Agent-Based Simulation'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Smooth Scaling Ahead: Progressive MAS Simulation from Single PCs to Grids
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    Chapter 2 Agent Communication in Distributed Simulations
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    Chapter 3 Distributed Simulation of MAS
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    Chapter 4 Extending Time Management Support for Multi-agent Systems
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    Chapter 5 Designing and Implementing MABS in AKIRA
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    Chapter 6 Work-Environment Analysis: Environment Centric Multi-agent Simulation for Design of Socio-technical Systems
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    Chapter 7 Layering Social Interaction Scenarios on Environmental Simulation
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    Chapter 8 Change Your Tags Fast! – A Necessary Condition for Cooperation?
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    Chapter 9 Users Matter: A Multi-agent Systems Model of High Performance Computing Cluster Users
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    Chapter 10 Formal Analysis of Meeting Protocols
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    Chapter 11 Multi-Agent and Multi-Agent-Based Simulation
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    Chapter 12 Analysis of Learning Types in an Artificial Market
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    Chapter 13 Toward Guidelines for Modeling Learning Agents in Multiagent-Based Simulation: Implications from Q-Learning and Sarsa Agents
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    Chapter 14 Agent-Based Modelling of Forces in Crowds
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    Chapter 15 An Investigation into the Use of Group Dynamics for Solving Social Dilemmas
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    Chapter 16 ASAP: Agent-Based Simulator for Amusement Park
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    Chapter 17 Patchiness and Prosociality: An Agent-Based Model of Plio/Pleistocene Hominid Food Sharing
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    Chapter 18 Plant Disease Incursion Management
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    Chapter 19 A Hybrid Micro-Simulator for Determining the Effects of Governmental Control Policies on Transport Chains
  21. Altmetric Badge
    Chapter 20 Simulation and Analysis of Shared Extended Mind
Attention for Chapter 11: Multi-Agent and Multi-Agent-Based Simulation
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Chapter title
Multi-Agent and Multi-Agent-Based Simulation
Chapter number 11
Book title
Multi-Agent and Multi-Agent-Based Simulation
Published in
Lecture notes in computer science, July 2004
DOI 10.1007/978-3-540-32243-6_11
Book ISBNs
978-3-54-025262-7, 978-3-54-032243-6
Authors

Paul Davidsson, Brian Logan, Keiki Takadama, Bruce Edmonds, Scott Moss

X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 7 4%
Netherlands 4 2%
France 4 2%
United States 4 2%
Vietnam 2 1%
Australia 2 1%
Italy 1 <1%
Brazil 1 <1%
Portugal 1 <1%
Other 2 1%
Unknown 134 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 57 35%
Researcher 24 15%
Student > Master 12 7%
Professor 11 7%
Professor > Associate Professor 10 6%
Other 29 18%
Unknown 19 12%
Readers by discipline Count As %
Computer Science 32 20%
Social Sciences 26 16%
Engineering 14 9%
Business, Management and Accounting 12 7%
Economics, Econometrics and Finance 7 4%
Other 43 27%
Unknown 28 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 September 2016.
All research outputs
#18,472,072
of 22,889,074 outputs
Outputs from Lecture notes in computer science
#6,013
of 8,127 outputs
Outputs of similar age
#50,778
of 53,595 outputs
Outputs of similar age from Lecture notes in computer science
#20
of 28 outputs
Altmetric has tracked 22,889,074 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 53,595 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.