This book constitutes the thoroughly refereed post-proceedings of the 6th International Bi-Conference Workshop on Agent-Oriented Information Systems, AOIS 2004, held in Riga, Latvia in June and in New York, NY, USA in July 2004.
The 15 revised full papers presented have gone through two rounds of reviewing and improvement and were selected from an initial total of 36 submissions. The papers are organized in topical sections on information systems, analysis and modeling, methodologies, and applications.
Author(s): Paolo Bresciani, Paolo Giorgini, Brian Henderson-Sellers, Graham Low, Michael Winikoff
Series: Lecture Notes in Artificial Intelligence 3508
Edition: 1
Publisher: Springer
Year: 2005
Language: English
Pages: 236
Front matter......Page 1
Introduction......Page 10
The Management Model......Page 11
The System Architecture......Page 12
Support Techniques......Page 14
The Major Components......Page 16
An Application - A Research Project Management System......Page 21
Project Modelling......Page 22
Project Enactment......Page 23
Browse Project......Page 24
The Result Analysis......Page 25
Conclusion and Future Work......Page 26
References......Page 27
Introduction......Page 28
Application Example: Web Information Search System......Page 29
Challenges Pertaining to UIS......Page 30
Overview......Page 32
The User Interface Agent Copes with Situations......Page 34
Actualization of the Service by the Service Mediation Agent......Page 35
Coping with Changes by Means of Inter-agent Communications......Page 36
Implementation of the Framework......Page 37
Implementation of a Web Information Search System......Page 38
Evaluation of the Framework......Page 39
Functional Comparison with Conventional Methods......Page 41
Related Work......Page 42
Conclusions......Page 43
Introduction......Page 45
Conclusion and FutureWork......Page 58
An Extended Set of GPGP Coordination Mechanisms......Page 47
EMS Model......Page 50
Framework......Page 51
Input Factors......Page 53
Output Evaluations......Page 54
Quantitative Results......Page 55
Analytic Results—Mechanisms and Domain Task Situations......Page 56
References......Page 60
Introduction......Page 61
The Quality Classification Problem for Market-Based Recommendations......Page 63
The Q-Learning Algorithm......Page 65
The Exploration Strategy......Page 66
The Overall Strategy......Page 67
Evaluation Metrics......Page 68
Experimental Settings......Page 69
Learning Strategy Effectiveness......Page 70
Related Work......Page 73
Conclusions and Future Work......Page 75
Introduction......Page 77
The Architecture of the SNet Tool......Page 78
The Entrepreneurship Domain......Page 79
Mapping the i* Model to a ConGolog Program......Page 81
From Limits Towards New Challenges......Page 82
Modelling Roles Instead of Individual Agents......Page 83
A General Monitoring Framework......Page 85
Monitoring in SNet......Page 86
Meta Agent Development (MAD)......Page 89
Conclusion......Page 91
Untitled......Page 80
Introduction......Page 94
Commitment Operations......Page 95
Commitment Causality......Page 96
Representing Multiparty Agreement Using Commitments......Page 97
Derivation Rules......Page 98
Building Satisfiable Agreements......Page 99
Resolving Agreement Deadlocks......Page 100
Discussion......Page 103
Introduction......Page 106
Business Facts and Rules......Page 107
Object-Role Modelling......Page 109
What Does Agent-Orientation Add to the Modelling Task?......Page 112
ORM and DEMO......Page 113
ORM and AOR......Page 115
References......Page 117
Introduction......Page 119
Things, Sets, Entities, Individuals and Types......Page 121
Different Kinds of Types......Page 123
Different Kinds of Individuals......Page 125
An Application of UFO-A 0.2 to Agent-Oriented Modelling......Page 127
UFO-B 0.2 – Perdurants......Page 128
UFO-C 0.2 – Intentional, Social and Linguistic Things......Page 129
References......Page 131
Introduction......Page 134
Background......Page 135
AgentZ......Page 137
Working Example: A Supermarket......Page 143
Conclusions and Future Work......Page 146
References......Page 147
Introduction......Page 149
Method Engineering......Page 150
The OPEN Process Framework......Page 151
Method Fragments in the Repository......Page 152
Tasks Characterizing Prometheus......Page 153
Techniques Recommended by Prometheus......Page 154
Work Products Advocated by Prometheus......Page 155
Existing Support and Mappings Between OPF and Prometheus......Page 158
New Tasks......Page 160
New Work Products......Page 161
References......Page 163
Introduction......Page 166
Feature Analysis Framework......Page 167
MAS Development Methodologies......Page 169
Comparative Analysis......Page 170
References......Page 176
Introduction......Page 178
The CMRadar Agent......Page 179
Template Data Format......Page 181
Manager......Page 182
Scheduler......Page 184
Experimental Setup......Page 186
Evaluating Strategies......Page 187
Conclusion......Page 189
Introduction......Page 191
AF-APL......Page 192
The Run-Time Environment......Page 193
The Development Environment......Page 194
EasiShop......Page 195
The EasiShop Scenario......Page 196
Implementation......Page 197
Agents @ Work in EasiShop......Page 198
Genie Services......Page 199
Genie Architecture......Page 200
Agents @ Work in Gulliver's Genie......Page 202
References......Page 204
Introduction......Page 207
References......Page 219
The Trading Agent Competition MAS – A Case Study......Page 208
Introducing Learning Techniques in Multi-agent Systems......Page 209
Systemic Goal and Performance Measure Selection......Page 211
Machine Learning Design......Page 212
Implementation, Training, Testing and Evaluation......Page 214
Final Comments......Page 218
Introduction......Page 221
Approach......Page 226
Agent Systems......Page 222
Communication Problems in an Architecture Company......Page 223
Filtering Agents......Page 227
Distribution Agents......Page 229
Scenario......Page 230
Conclusions......Page 233
References......Page 234
Back matter......Page 236
