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Intelligent Agents and Their Applications 2002 ed. [Kõva köide]

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  • Formaat: Hardback, 339 pages, kõrgus x laius: 235x155 mm, kaal: 705 g, 2 Illustrations, black and white; XX, 339 p. 2 illus., 1 Hardback
  • Sari: Studies in Fuzziness and Soft Computing 98
  • Ilmumisaeg: 25-Mar-2002
  • Kirjastus: Physica-Verlag GmbH & Co
  • ISBN-10: 3790814695
  • ISBN-13: 9783790814699
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  • Formaat: Hardback, 339 pages, kõrgus x laius: 235x155 mm, kaal: 705 g, 2 Illustrations, black and white; XX, 339 p. 2 illus., 1 Hardback
  • Sari: Studies in Fuzziness and Soft Computing 98
  • Ilmumisaeg: 25-Mar-2002
  • Kirjastus: Physica-Verlag GmbH & Co
  • ISBN-10: 3790814695
  • ISBN-13: 9783790814699
Intelligent agents are one of the most promising business tools in our information rich world. An intelligent agent consists of a software system capable of performing intelligent tasks within a dynamic and unpredictable environment. They can be characterised by various attributes including: autonomous, adaptive, collaborative, communicative, mobile, and reactive. Many problems are not well defined and the information needed to make decisions is not available. These problems are not easy to solve using conventional computing approaches. Here, the intelligent agent paradigm may play a major role in helping to solve these problems. This book, written for application researchers, covers a broad selection of research results that demonstrate, in an authoritative and clear manner, the applications of agents within our information society.
Agent-based intelligent information dissemination in dynamically changing environments
H. Sevay
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
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
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
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
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
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