ISBN: 3790814695
TITLE: Intelligent Agents and Their Applications
AUTHOR: Jain et. Al.
TOC:

Chapter 1
Agent-based intelligent information dissemination in dynamically changing environments
H. Sevay and C. Tsatsoulis
1 Introduction 1
2 Overview of the Anticipator 4
3 The Anticipator in an information dissemination system 5
4 Profile agents 6
4.1 Profile variable definitions 7
4.2 Instantiation rules 7
4.3 Information requests 8
4.4 Event rules 9
5 Profile instantiation 9
6 Parameterized information requests 12
7 Event monitoring agents 14
7.1 Event types 14
7.1.1 Time-driven events 14
7.1.2 Data-driven events 15
7.2 Time-driven event monitoring agents 16
7.3 Data-driven event monitoring agents 17
8 An example 18
9 Related work 21
10 Future work 23
11 Conclusions 24
Acknowledgments 25
References 25
Chapter 2.
Automating human information agents
S. Franklin
1 Human information agents 27
2 Autonomous agents 29
3 Global workspace theory 30
4 "Conscious" software agents 32
5 "Conscious" Mattie 32
6 IDA 37
6.1 Perception 38
6.2 Associative memory 39
6.3 "Consciousness" 41
6.4 Action selection 42
6.5 Constraint satisfaction 45
6.6 Deliberation in action 46
6.7 Voluntary action 49
6.8 Language generation 52
7 Conclusions 53
References 54
Chapter 3
Knowledge robots for knowledge workers: self-learning agents connecting information and skills
J. Hasebrook, L. Erasmus, and G. Doeben-Henisch
1 Introduction 59
2 If it works, it's not AI 62
3 The artificial brain 65
4 The artificial body 75
5 The artificial environment 76
6 Conclusion 78
References 79
Chapter 4
Ontologies in Web intelligence
N. Zhong
1 lntroduction 83
2 Representation and categories of ontologies 84
3 Ontologies for Web intelligence 86
3.1 The roles of ontologies 86
3.2 Ontology languages 89
4 Automatic construction of ontologies 90
4.1 Text classification 91
4.2 Generation of ontology 93
4.3 Refinement of ontology 96
5 Conclusions 97
Acknowledgment 97
References 97
Chapter 5
Software agents for Internet-based systems and their design
H.H. Pham
1 Introduction 101
2 Principles of Internet agent-based systems 103
2.1 Internet-based components 103
2.2 Agent-based components 104
2.3 Internet-agent integration 105
3 Classifications of Internet agent-based systems 107
3.1 Task paradigm 107
3.2 Agent type paradigm 108
3.3 Architecture paradigm 110
4 Communication and coordination in Internet agent-based systems 113
5 Procedures and technologies for designing Internet agent-based systems 118
6 Internet agents for system design 120
7 Case studies 123
7.1 An IAS for inventory control 123
7.1.1 Inventory management problem and its solution 123
7.1.2 Build IAS architecture 125
7.1.3 Define computing platform 127
7.1.4 Design agents 128
7.1.5 Build communication system 129
7.1.6 Coordinate components 129
7.1.7 Analyze and evaluate IAS 130
7.2 An IAS for E-marketplace 131
7.2.1 E-marketplace problem with special focuses and its solution 132
7.2.2 Build IAS architecture 132
7.2.3 Define computing platform 133
7.2.4 Design agents 134
7.2.5 Build communication system 138
7.2.6 Coordinate components 139
7.2.7 Analyze and evaluate IAS 140
8 Conclusions 142
Acknowledgments 142
References 142
Chapter 6
Compositional design and maintenance of broker agents
C.M. Janker andJ. Treur
1 Introduction 149
2 Electronic commerce and brokering 151
3 Compositional design of the generic broker agent 152
3.1 Compositional design of multi-agent systems 152
3.1.1 Process composition 152
3.1.2 Knowledge composition 153
3.1.3 Relation between process composition and knowledge composition 154
3.2 Design of the generic broker agent 154
4 Generic and domain specific knowledge 157
4.1 Agent specific task determine proposals 157
4.2 Agent interaction management 158
4.2.1 Incoming communication 158
4.2.2 Outgoing communication 160
4.3 Own process control 161
4.4 World interaction management 162
4.5 Maintenance of world and maintenance of agent information 162
5 The behavior 162
5.1 Basic functionalities depending on the agent's knowledge 163
5.2 Reactive, pro-active, and other forms of behavior 165
6 Maintenance by communication 167
6.1 Communication of maintenance knowledge 167
6.2 Controlling maintenance in own process control 168
7 Discussion 169
Acknowledgments 170
References 170
Chapter 7
Collective behavior evolution in a group of cooperating agents
J. Liu and J. Wu
1 Introduction 173
1.1 Related work 174
1.1.1 Ant systems 174
1.1.2 Collective behavior learning 174
1.1.3 Application of genetic algorithms in robotics 176
1.2 The organization of the chapter 177
2 Problem statement 178
2.1 What is the collective behavior of an ant system? 178
2.2 What is group behavior learning? 179
3 The proposed approach 180
3.1 The basic ideas 180
3.2 The ants 181
3.3 Performance criterion for collective object-moving 181
3.4 Evolving a collective object-moving behavior 181
4 Collective object-moving by applying repulsive forces 182
4.1 A model of artificial repulsive forces 182
4.2 Moving force and the resulting motion of an object 184
4.3 Chromosome representation 185
4.4 Fitness function 186
4.5 Experiments with simulated ants 187
4.5.1 Task environment 187
4.5.2 Simulation results 187
4.5.3 Generation of a collective moving behavior 189
4.5.4 Adaptation to new goals 189
4.5.5 Discussions 191
5 Collective object-moving by exerting external contact forces and torques 193
5.1 Interaction between three ants and an object 193
5.2 Case 1: moving a round object 194
5.2.1 Moving position and direction 194
5.2.2 Moving force and torque 194
5.3 Case 2: Moving a square object 195
5.3.1 The coordinate system 195
5.3.2 Moving forte and torque 196
5.4 Chromosome representation 196
5.5 Fitness functions 197
5.6 Experiments with simulated ants 198
5.6.1 Task environment 198
5.6.2 Adaptation to new goals 198
5.6.3 Simulation results 198
5.6.4 Adaptation to dynamically changing goals 205
5.6.5 Discussions 208
6 Conclusions 210
Acknowledgments 212
References 213
Chapter 8
Applications of information agent systems
M. Klusch, H.-J. Brckert, P. Funk, A. Gerber, and C. Russ
1 Introduction 217
2 Holonic agents for telematics 220
2.1 TELETRUCK - a dispatch support system 220
2.2 Teleservice-mobile agents for remote applications 222
3 CASA: agents for mobile integrated commerce in forestry and agriculture 225
3.1 Motivation 225
3.2 CASA agents and services 226
3.2.1 Holonic agent system of the CASA ITN 226
3.2.2 Agent-based services of the CASA ITN 228
3.3 Application scenarios 229
3.3.1 Mobile timber sales: services, interactions, and agents 229
3.3.2 Relevant holonic agents in the MHS scenario 231
3.3.3 Implementation 231
4 MAS-R/3: a multi-agent coordination infrastructure for retail supply webs 232
4.1 Motivation 232
4.2 The supply web application domain 233
4.3 Agentification of supply web entities 233
4.4 Warehouse agents 236
4.5 Supply web coordination 236
4.5.1 Coordination policies 236
4.5.2 The supply web coordination server 237
4.5.3 Market-based supply web coordination mechanisms 238
4.6 Future work on MAS-R/3 239
5 Agent-based support of software repositories 239
5.1 Motivation 239
5.2 Domain characteristics and system requirements 240
5.2.1 The repository REPTIL 242
5.2.2 Archive-based agent in the development environment 242
5.2.3 The agent in the REPTIL environment 243
5.3 The agent-based approach 244
5.3.1 Agents at the REPTIL site 244 
5.3.2 Agents at the archiving server 244
5.4 Implementation details 245
5.5 Future work on REPTIL 245
Acknowledgments 246
References 246
Chapter 9
The use of virtual worlds and animated personas to improve healthcare knowledge and self-care behavior: the case of the Heart Sense game
B.G. Silverman, J. Holmes, S. Kimmel, C. Branas, D. Ivins, R. Weaver
1 Introduction 250
1.1 Behavioral and knowledge issues in healthcare 250
1.2 Role for interactive learning systems in the national health picture 251
1.3 Overview of game simulators and virtual personas 251
1.4 Rationale for using the selected domain 253
2 Pedagogical plan 254
2.1 Behavioral theory as applied to delay in seeking care for heart attack symptoms 254
2.2 Instructionist vs. constructivist pedagogy 257
2.3 The engage-instruct-construct-persist training plan 258
3 Interactive learning systems and virtual world 260
3.1 The case base 261
3.2 The simulator 262
3.3 The graphical user interface 263
4 Animated personas and emotive-cognitive architecture 264
4.1 Affect theory and emotive drives 265
4.2 Merging emotions into higher affect to support cognition 267
4.3 Task, plan, and decision processor 269
4.4 Behavior generator 270
5 Usage results 271
6 Evaluation of results and next steps 276
7 Conclusion and next steps 286
7.1 Contributions to date 286
7.2 Next steps 288
Acknowledgments 288
References 288
Chapter 10
Using agents to build a practical implementation of the INCA (Intelligent Community Alarm) system
M. Beer, W. Huang, and A. Sixsmith
1 Introduction 295
2 Rationale 297
3 Related work 298
4 Theoretical approach 299
4.1 The problem area addressed 300
4.1.1 Developing an individual care plan 302
4.1.2 Positive care 302
4.1.3 Emergency support 304
4.2 Care management 305
5 The design of the conversation classes 307
6 The benefits of using agents for INCA 311
7 Constructing the demonstrator 313
7.1 Developing conversation class model using UML 313
7.2 Phases of the ZEUS design methodology 314
7.3 User interface design 320
8 Implementation 322
8.1 The agent realization process 322
8.2 Implementing the graphical user interfaces 323
9 Further work 323
10 Conclusions 325
Acknowledgments 325
References 326
Index 329
List of contributors 333
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