Table of Contents
Intelligent Methods for Multi-Agent Environments
Outline
Self-Organization in Nature
Scenario: Multi-Robot System
Spatial Self-Organization
Simulation Example: 2-D
Simulation Example: 2-D
Simulation Example: 3-D
Spatial Self-Organization: Paraboloid in 3-D
3-D Paraboloid
Simulation Example: 3-D Paraboloid
Control Issues
Multiple targets
Multiple Targets (cont’d)
Simulation Examples: Multiple targets (I)
Simulation Examples: Multiple targets (II)
Simulation Examples: Multiple targets (III)
Behavioral Self-Organization
Behavioral Self-Organization
Nonlinear Oscillators for Distributed Load Bearing
Simulation Examples: VDP Oscillators (I)
Simulation Examples: VDP Oscillators (II)
Scenario: AHS
Learning Automata
LA as an Intelligent Path Controller
Simulation Example: LA (I)
Analysis of Multiple LA Actions
Transition Diagrams
Scenario: 3 Vehicles in 3 Lanes
Multi-Vehicle Scenarios as Superposition of 2-Vehicle Situations
Concluding Remarks
Reinforcement Schemes for LA
PPT Slide
PPT Slide
Final Structure
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Author: Cem Ünsal
Email: unsal@ri.cmu.edu
Home Page: http://www.cs.cmu.edu/~unsal
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