Multi-Agent-Based Simulation XII

Name: Multi-Agent-Based Simulation XII | International Workshop, MABS 2011, Taipei, Taiwan, May 2-6, 2011, Revised Selected Papers
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International Workshop, MABS 2011, Taipei, Taiwan, May 2-6, 2011, Revised Selected Papers

Daniel Villatoro Jordi Sabater-Mir Jaime Simao Sichman(Herausgeber*in)

Springer (Verlag)

Erschienen am 27. Februar 2012

IX, 127 Seiten

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Inhalt

Title page
Preface
Organization
Table of Contents
MABS in Scientometrics
Agent Simulation of Peer Review: The PR-1 Model
Introduction
Description of the Proposed Model
PR-M
PR-1
Implementation Details
Results
Measured Quantities
Uniform Ability
Low Average Skill
Polarized Skill
Discussion and Future Work
References
Simulating Research Behaviour
Introduction
Background
Simulation Basics
The Simulator's Input and Output
Journals' Profiles
Researchers' Profiles
Simulation Algorithm
Assumptions and Hypotheses
Assumptions
Hypotheses
Results and Analysis
Conclusion
References
MABS in Politics, Transit and Policy
Agent-Based Modeling of the Prediction Markets for Political Elections
Introduction
Basic Model
Simulation and Analysis
Prediction Power and Favorite-Longshot Bias
Neighborhood Scope and Prediction Accuracy
Information Distribution and Prediction Accuracy
The Origin of the Favorite-Longshot Bias
Conclusion
References
Using Multi-agent Simulation to Improve the Security of Maritime Transit
Domain Background
Piracy Around the Horn of Africa
Existing Antipiracy Measures
International Recommended Transit Corridor.
Navy Patrols.
Group Transit Scheme.
Model Description
Merchant Vessel Model
Pirate Vessel Model
Naval Vessel Model
Model Implementation
Agent Behavior Implementation.
Model Validation
Long-Range Shipping Traffic Model Validation
Piracy Model Validation
Group Transit Schedule Optimization
Conclusion
References
How to Do Social Simulation in Logic: Modelling the Segregation Game in a Dynamic Logic of Assignments
Introduction
The Segregation Game
The Original Model
The Implemented Model
Dynamic Logic with Assignments
Language
Semantics
Reduction Axioms for the Star-Free Fragment
Complexity for the Star-Free Fragment
The Segregation Game in DL-PA
Propositional Variables
Describing Inhabitants' Moves
Initial State
Describing and Proving Properties
Varying the Inhabitants' Tolerance
More Expressive Languages
Conclusion
References
Pedestrian, Crowds and Large Scale MABS
An Agent-Based Proxemic Model for Pedestrian and Group Dynamics: Motivations and First Experiments
Introduction
Related Works
Particle-Based Approach
Cellular Automata Approach
Autonomous Agents Approach
Interdisciplinary Approach
Proxemics
Crowds: Canetti's Theory
An Agent-Based Proxemic Model
Basic Proxemic Rules
Group Dynamic Rules
Experimental Results
Proxemic Distance Evaluation
Groups and Individuals
Conclusions and Future Works
References
Validation of Agent-Based Simulation through Human Computation: An Example of Crowd Simulation
Introduction
Related Work
Human Computation
The Game: Escape
Test Scenarios
Density and Distance
Exit Size
Discussion and Future Work
References
Observation of Large-Scale Multi-Agent Based Simulations
Introduction
Filtrated Direct Observation of MABS
Implementation of Filtrated Direct Observation Methods
Self-observation
Statistical Survey
Discussion
Conclusion and Perspectives
References
MABS Modelling
Between Agents and Mean Fields
Introduction
Agents and Mean Fields
Pheromone-Based Agents
An Experiment
Description of Experiment
Adaptation for Pheromone-Based Agents
Discussion
Conclusion
References
Author Index

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