Collaborative Agents - Research and Development

Name: Collaborative Agents - Research and Development | International Workshops, CARE@AI09 2009 / CARE@IAT10 2010Melbourne, Australia, December 1, 2009Toronto, Canada, August 31, 2010Revised Selected Papers
Brand: Springer
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International Workshops, CARE@AI09 2009 / CARE@IAT10 2010Melbourne, Australia, December 1, 2009Toronto, Canada, August 31, 2010Revised Selected Papers

Christian Guttmann Frank Dignum Michael Georgeff(Herausgeber*in)

Springer (Verlag)

Erschienen am 5. Juli 2011

VIII, 187 Seiten

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Inhalt

Title
Preface
Organization
Table of Contents
Multi-agent Coalition Formation for Distributed Area Coverage
Introduction
Preliminary Definitions
System Modeling and Algorithm Design
Single Robot Coverage Capability
Best Coalition Formation
Algorithm Analysis of Finding the BMWC
Adaptive Flocking Teams with WVGs
Team Shape Maintenance
WVGs for Team (Re)formations
Experiment and Evaluation
Future Work
References
Modeling Warehouse Logistics Using Agent Organizations
Introduction
Warehouse Logistics
Hierarchy of Hardware Components
Planning, Scheduling and Plant Layer
Factors of Complexity
Prototype Simulation
Modeling Components
What Should Be Considered an Agent?
How to Model an Multi-agent System?
Agent Organizations
An Organizational Model for Scheduling
An Organizational Model for Planning
Related Work
Conclusion
References
Agent-Based Crisis Management
Introduction
Organisations
Structural Evaluation
Organisational Simulation
Simulation Scenario
The Model
Experimental Scenarios
Results
Conclusions and Future Work
References
Male Optimal and Unique Stable Marriages with Partially Ordered Preferences
Introduction
Background
Stable Marriage Problems
Gale-Shapley Algorithm
Stable Marriage Problems with Partial Orders
Finding Male Optimal Weakly Stable Marriages
On the Uniqueness of Weakly Stable Marriage in SMPs
Related Work
Conclusions
References
Agent-Based Simulation of Joint Fire Support Teams - Collaboration in Network-Centric Warfare Scenarios
Introduction
Modeling Joint Fire Support Teams
Aims of the Model
Macro-Level: Time and Environment
Micro-Level: Objects and Agents
Coordination and Information Exchange
Results and Experiences
Results
Experiences
Conclusion and Outlook
Conclusion
Outlook
References
Intelligent Collaborative Care Management (ICCM): Achieving and Managing Contractual Relationships and Service Delivery
Introduction
Basic Model of Customer Care
Coordination Level Specification: Sharing Domain Properties
Task Level Specification: Domain Processes and Information
Implementation Level: Three Stages for a Basic Model of Customer Care
Uncertainty, Incompleteness and Bounded Resources: Understanding the Need for Adherence and Variation Support
Problem Description
Human Participants and Mental Attitudes
An Extended Model of Collaborative Care
Contractual Commitment
Service Delivery
Concluding Remarks
Reference
A Centralized Framework to Multi-robots Formation Control: Theory and Application
Introduction
Nomenclature Adapted
Isogonic Formation: The Methodology
Formation Preservation during the Rotation
Computing Isogonic Position Information during the Rotation
Connectivity Preservation
Simulation Result
Conclusion
References
Flexible Behaviour Regulation in Agent Based Systems
Introduction
Motivations, Organisations, Norms and Trust
Organisations
Norms
Norm Enforcement
Norm Emergence
Norm Processing
Trust
Case Studies
Electronic Contracting
ePCRN
Conclusions
References
Effect of Network Topology in Opinion Formation Models
Introduction
Model Formulation and Extensions
Results
Topology Before and After the Opinion Formation Process
Erdos-Rényi (ER) Network versus Small World (SW) Network
Effect of Initial Opinion Distribution
Discussion
References
Behavior Learning in Minority Games
Introduction
Learning in the Minority Games
Strategies of Agents
Decision Tree Learning
Learning with Fixed Strategies
Adaptive Learning
Learning Collective Behaviors
Fitness Function of MG
Evolutionary Experiments
Conclusions
References
Two Decades of Multiagent Teamwork Research: Past, Present, and Future
Introduction
The Past: BDI
DCOPs
Background
k-OPT and t-OPT: Algorithms and Results
DCEE: Algorithms and the Team Uncertainty Penalty
DEC-POMDPs
Background
Scaling-Up DEC-POMDPs
Execution-Time Reasoning in DEC-POMDPs
Conclusion
References
Designing Intelligent Healthcare Operations
Introduction
Challenges
Stakeholders and Objectives
Technology
Creating Value from Knowledge
Tools and Techniques of KM
The Role of Multi Agent Systems
The Intelligence Continuum
Returning to the Orthopaedic Operating Room
Summary
References
Collaborative Learning in Uncertain Environments
Introduction
Literature Review
Research Questions
Model and Simulation
Scenario Set
Agents(A)
Dispatcher (P)
Collaborative Network (N)
Simulation Process and Experiment Parameters
Experiment Setup
Results
Conclusion
References
Improving Task-Based Plan Coordination
Introduction
Two Multi-agent Planning Problems
Multi-agent System Model
Coordination Checking for Intra-free Coordination Instances
An Approximation Algorithm for Finding Coordination Sets
Finding a Better Algorithm for Intra-free Instances
Discussion and Conclusions
References
Author Index

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