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Tables of Contents for Intelligent Agents and Their Applications
Chapter/Section Title
Page #
Page Count
Agent-based intelligent information dissemination in dynamically changing environments
H. Sevay and C. Tsatsoulis
Introduction
1
3
Overview of the Anticipator
4
1
The Anticipator in an information dissemination system
5
1
Profile agents
6
3
Profile variable definitions
7
1
Instantiation rules
7
1
Information requests
8
1
Event rules
9
1
Profile instantiation
9
3
Parameterized information requests
12
2
Event monitoring agents
14
4
Event types
14
1
Time-driven events
14
1
Data-driven events
15
1
Time-driven event monitoring agents
16
1
Data-driven event monitoring agents
17
1
An example
18
3
Related work
21
2
Future work
23
1
Conclusions
24
3
Acknowledgments
25
1
References
25
2
Automating human information agents
S. Franklin
Human information agents
27
2
Autonomous agents
29
1
Global workspace theory
30
2
``Conscious'' software agents
32
1
``Conscious'' Mattie
32
5
IDA
37
16
Perception
38
1
Associative memory
39
2
``Consciousness''
41
1
Action selection
42
3
Constraint satisfaction
45
1
Deliberation in action
46
3
Voluntary action
49
3
Language generation
52
1
Conclusions
53
6
References
54
5
Knowledge robots for knowledge workers: self learning agents connecting information and skills
J. Hasebrook L. Erasmus and G. Doeben-Henisch
Introduction
59
3
If it works, it's not AI
62
3
The artificial brain
65
10
The artificial body
75
1
The artificial environment
76
2
Conclusion
78
5
References
79
4
Ontologies in Web intelligence
N. Zhong
Introduction
83
1
Representation and categories of ontologies
84
2
Ontologies for Web intelligence
86
4
The roles of ontologies
86
3
Ontology languages
89
1
Automatic construction of ontologies
90
7
Text classification
91
2
Generation of ontology
93
3
Refinement of ontology
96
1
Conclusions
97
4
Acknowledgment
97
1
References
97
4
Software agents for Internet-based systems and their design
H.H. Pham
Introduction
101
2
Principles of Internet agent-based systems
103
4
Internet-based components
103
1
Agent-based components
104
1
Internet-agent integration
105
2
Classifications of Internet agent-based systems
107
6
Task paradigm
107
1
Agent type paradigm
108
2
Architecture paradigm
110
3
Communication and coordination in Internet agent-based systems
113
5
Procedures and technologies for designing Internet agent-based systems
118
2
Internet agents for system design
120
3
Case studies
123
19
An IAS for inventory control
123
1
Inventory management problem and its solution
123
2
Build IAS architecture
125
2
Define computing platform
127
1
Design agents
128
1
Build communication system
129
1
Coordinate components
129
1
Analyze and evaluate IAS
130
1
An IAS for E-marketplace
131
1
E-marketplace problem with special focuses and its solution
132
1
Build IAS architecture
132
1
Define computing platform
133
1
Design agents
134
4
Build communication system
138
1
Coordinate components
139
1
Analyze and evaluate IAS
140
2
Conclusions
142
7
Acknowledgments
142
1
References
142
7
Compositional design and maintenance of broker agents
C.M. Jonker and J. Treur
Introduction
149
2
Electronic commerce and brokering
151
1
Compositional design of the generic broker agent
152
5
Compositional design of multi-agent systems
152
1
Process composition
152
1
Knowledge composition
153
1
Relation between process composition and knowledge composition
154
1
Design of the generic broker agent
154
3
Generic and domain specific knowledge
157
5
Agent specific task: determine proposals
157
1
Agent interaction management
158
1
Incoming communication
158
2
Outgoing communication
160
1
Own process control
161
1
World-interaction management
162
1
Maintenance of world and maintenance of agent information
162
1
The behavior
162
5
Basic functionalities depending on the agent's knowledge
163
2
Reactive, pro-active, and other forms of behavior
165
2
Maintenance by communication
167
2
Communication of maintenance knowledge
167
1
Controlling maintenance in own process control
168
1
Discussion
169
4
Acknowledgments
170
1
References
170
3
Collective behavior evolution in a group of cooperating agents
J. Liu and J. Wu
Introduction
173
5
Related work
174
1
Ant systems
174
1
Collective behavior learning
174
2
Application of genetic algorithms in robotics
176
1
The organization of the chapter
177
1
Problem statement
178
2
What is the collective behavior of an ant system?
178
1
What is group behavior learning?
179
1
The proposed approach
180
2
The basic ideas
180
1
The ants
181
1
Performance criterion for collective object-moving
181
1
Evolving a collective object-moving behavior
181
1
Collective object-moving by applying repulsive forces
182
11
A model of artificial repulsive forces
182
2
Moving force and the resulting motion of an object
184
1
Chromosome representation
185
1
Fitness function
186
1
Experiments with simulated ants
187
1
Task environment
187
1
Simulation results
187
2
Generation of a collective moving behavior
189
1
Adaptation to new goals
189
2
Discussions
191
2
Collective object-moving by exerting external contact forces and torques
193
17
Interaction between three ants and an object
193
1
Case 1: moving a round object
194
1
Moving position and direction
194
1
Moving force and torque
194
1
Case 2: Moving a square object
195
1
The coordinate system
195
1
Moving force and torque
196
1
Chromosome representation
196
1
Fitness functions
197
1
Experiments with simulated ants
198
1
Task environment
198
1
Adaptation to new goals
198
1
Simulation results
198
7
Adaptation to dynamically changing goals
205
3
Discussions
208
2
Conclusions
210
7
Acknowledgments
212
1
References
213
4
Applications of information agent systems
M. Klusch X.-J. Burckert P. Funk A. Gerber and C. Russ
Introduction
217
3
Holonic agents for telematics
220
5
TELETRUCK - a dispatch support system
220
2
TeleService - mobile agents for remote applications
222
3
CASA: agents for mobile integrated commerce in forestry and agriculture
225
7
Motivation
225
1
CASA agents and services
226
1
Holonic agent system of the CASA ITN
226
2
Agent-based services of the CASA ITN
228
1
Application scenarios
229
1
Mobile timber sales: services, interactions, and agents
229
2
Relevant holonic agents in the MHS scenario
231
1
Implementation
231
1
MAS-R/3: a multi-agent coordination infrastructure for retail supply webs
232
7
Motivation
232
1
The supply web application domain
233
2
Agentification of supply web entities
235
1
Warehouse agents
236
1
Supply web coordination
236
1
Coordination policies
236
1
The supply web coordination server
237
1
Market-based supply web coordination mechanisms
238
1
Future work on MAS-R/3
239
1
Agent-based support of software repositories
239
11
Motivation
239
1
Domain characteristics and system requirements
240
2
The repository REPTIL
242
1
Archive-based agent in the development environment
242
1
The agent in the REPTIL environment
243
1
The agent-based approach
244
1
Agents at the REPTIL site
244
1
Agents at the archiving server
244
1
Implementation details
245
1
Future work on REPTIL
245
1
Acknowledgments
246
1
References
246
4
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
Introduction
250
4
Behavioral and knowledge issues in healthcare
250
1
Role for interactive learning systems in the national health picture
251
1
Overview of game simulators and virtual personas
251
2
Rationale for using the selected domain
253
1
Pedagogical plan
254
6
Behavioral theory as applied to delay in seeking care for heart attack symptoms
254
3
Instructionist vs. constructivist pedagogy
257
1
The engage-instruct-construct-persist training plan
258
2
Interactive learning systems and virtual world
260
4
The case base
261
1
The simulator
262
1
The graphical user interface
263
1
Animated personas and emotive-cognitive architecture
264
7
Affect theory and emotive drives
265
2
Merging emotions into higher affect to support cognition
267
2
Task, plan, and decision processor
269
1
Behavior generator
270
1
Usage results
271
5
Evaluation of results and next steps
276
10
Conclusion and next steps
286
9
Contributions to date
286
2
Next steps
288
1
Acknowledgments
288
1
References
288
7
Using agents to build a practical implementation of the INCA (Intelligent Community Alarm) system
M. Beer W. Huang and A. Sixsmith
Introduction
295
2
Rationale
297
1
Related work
298
1
Theoretical approach
299
8
The problem area addressed
300
2
Developing an individual care plan
302
1
Positive care
302
2
Emergency support
304
1
Care management
305
2
The design of the conversation classes
307
4
The benefits of using agents for INCA
311
2
Constructing the demonstrator
313
9
Developing conversation class model using UML
313
1
Phases of the ZEUS design methodology
314
6
User interface design
320
2
Implementation
322
1
The agent realization process
322
1
Implementing the graphical user interfaces
323
1
Further work
323
2
Conclusions
325
4
Acknowledgments
325
1
References
326
3
Index
329
4
List of contributors
333
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