Engineering Environment-Mediated Multi-Agent Systems: International Workshop, EEMMAS 2007, Dresden, Germany, October 5, 2007. Selected Revised and Invited Papers

Front matter......Page 1
References......Page 10
Introduction......Page 12
Multi-agent Systems for Modern Complex Systems......Page 13
Software Architectures for MAS......Page 15
AOSE and Process Management......Page 19
Software Quality Assurance......Page 21
Cost Estimation......Page 22
Conclusions......Page 23
References......Page 24
Introduction......Page 26
System Description......Page 28
Adaptivity, Robustness, and Flexibility......Page 33
Degree of Autonomy and Controlled Self-organization......Page 36
Learning......Page 42
Trustworthiness......Page 43
Conclusion......Page 45
References......Page 46
Introduction......Page 48
Engineering Self--organizing Multi--agent Systems......Page 50
Modeling the Dynamics of Decentralized Design Metaphors......Page 53
System Dynamics......Page 54
Single--Looped Design Metaphors......Page 55
Multi--looped Design Metaphors......Page 57
Using Dynamic Models in MAS Analysis......Page 59
Case Study: A Stigmergic Intrusion Detection System......Page 61
Conclusions......Page 63
References......Page 64
Context, Definitions and the Three Challenges......Page 67
Defining Self-organisation and Emergence for Artificial Systems......Page 68
The Three Challenges for Engineering Systems Which Generate Emergent Functionalities......Page 69
Some Mechanisms to Engineer Self-organising Applications......Page 70
Adapt the System by Its Parts......Page 71
Controlling Emergence: The Theorem of Functional Adequacy......Page 72
Architecture and Functioning of an AMAS Agent......Page 73
Challenge 2: A Method and Tools for the Designer of Complex Systems......Page 74
Engineering Adaptive Multi-agent Systems: ADELFE......Page 75
ADELFE : Design Methodology......Page 76
Tools Linked with ADELFE.......Page 77
Related Works in Multi-agent Systems......Page 78
Validation of AMAS......Page 79
Conclusion......Page 81
References......Page 82
Introduction......Page 85
Autonomic Electronic Institutions......Page 86
Development and Simulation Framework......Page 87
Electricity Market......Page 90
Market Players......Page 91
Simulation Environment......Page 92
Self-configuration Policies......Page 93
Conclusions......Page 94
References......Page 95
Introduction......Page 97
Polyagents and Divergent Trajectories......Page 98
A Simple Experiment......Page 101
Analysis and Discussion......Page 102
Conclusion......Page 108
References......Page 110
Introduction......Page 112
Site Structure and Reactive User Agents......Page 113
The Web Interface Agent......Page 115
Direct Guidance Adaptive Functionality......Page 116
Context-Aware User Interaction Functionality......Page 118
Related Work......Page 120
References......Page 122
Motivation......Page 124
Objects......Page 127
Cognitive Agents......Page 129
Containers......Page 130
Representation of Interaction......Page 132
Implementation Issues......Page 135
Related Work......Page 138
References......Page 140
Introduction......Page 144
Agent-Environment Interactions in MAS......Page 145
Agent Environment Systems......Page 146
UWEA Levels......Page 148
Data Viewpoint Illustrations......Page 149
Functional Viewpoint Illustrations......Page 150
Behavioral Viewpoint Illustrations......Page 152
Structural Viewpoint Illustrations......Page 153
References......Page 154
DECIDE Project......Page 157
Handling Baggage......Page 158
Worst Case Scenario......Page 160
Related Work......Page 161
Toploader......Page 163
Diverters......Page 164
Straight Elements......Page 165
Route Agent......Page 166
Agent Strategies......Page 167
Choosing a Tote Stacker for Empty Totes......Page 168
Overtaking Totes within a Group of Diverters and Mergers......Page 169
Saturation Management......Page 171
Conclusion......Page 172
References......Page 173
Introduction......Page 175
Case Study: Coordinated Monitoring of Traffic Jams......Page 176
Model for Context-Driven Dynamic Organizations......Page 178
Organizations, Role Positions and Roles......Page 179
Context-Driven Evolution of Organizations......Page 180
World Representation and Context View......Page 182
Supporting Architecture......Page 183
Experiments......Page 186
Organizations and Multi-agent Systems......Page 188
Traffic Monitoring......Page 192
References......Page 193
Introduction......Page 196
The Governing Environment......Page 197
Micro-simulation of the Swiss Highway Network......Page 199
Modeling......Page 200
Behavior Models......Page 202
Simulation Engine Interfaces......Page 204
Simulation Core......Page 206
The Events......Page 208
Experiments......Page 210
Conclusion......Page 211
Introduction......Page 213
Reference Scenario: Collaborative Ubiquitous Environments......Page 214
Multilayered Multi-agent Situated System......Page 216
MMASS and CUEs......Page 218
Lesson Setup Scenario......Page 219
Modeling the Environment......Page 220
Defined Agents......Page 221
General Considerations......Page 222
DJess and MMASS: Environment Management......Page 224
DJess and MMASS: Agents......Page 227
Conclusions and Future Developments......Page 229
Introduction......Page 232
Agents and Context-Awareness......Page 233
Context-Awareness vs. Situation-Awareness......Page 234
Engineering Challenges......Page 236
Context-Awareness......Page 237
Data Mining and Pattern Discovery......Page 239
Data Aggregation Granular Computing......Page 240
The W4 Approach......Page 241
Data Representation......Page 242
Data Access and Multiagent system Engineering......Page 243
Data Generation......Page 244
Conclusion and Open Issues......Page 245
References......Page 246
Introduction......Page 249
An Overview of the Dynamic Agent-Based Ecosystem Model (DAEM)......Page 250
DAEM and Environment-Mediated Interactions......Page 252
DAEM Architecture......Page 256
Supporting Adaptation: A Practical Example......Page 260
Discussion and Related Work......Page 263
Conclusions......Page 265
Introduction......Page 268
Physical vs. Abstract Proximity......Page 269
Objective vs. Subjective Proximity......Page 271
Requirements for Proximity Relationships......Page 272
Overview of the Model......Page 273
Distributed Evaluation Semantics......Page 274
Efficiency of the Model......Page 275
AmbientTalk in a Nutshell......Page 277
AmbientTalk Objects......Page 278
Concurrent Programming......Page 279
Distributed Programming......Page 281
Service Discovery in AmbientTalk......Page 282
Open Proximity Model in AmbientTalk......Page 283
Discussion......Page 286
Multi-agent Systems......Page 287
Service Discovery......Page 288
Conclusion......Page 289
Introduction......Page 293
Roles......Page 294
Environment Support......Page 295
An Application Example......Page 296
RoleX......Page 297
Open Issues......Page 300
Conclusion......Page 302
Back matter......Page 305