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CommunityWare [Kõva köide]

  • Formaat: Hardback, 304 pages, kõrgus x laius: 250x172 mm, kaal: 780 g, index
  • Ilmumisaeg: 29-Jul-1998
  • Kirjastus: John Wiley & Sons Ltd
  • ISBN-10: 0471979651
  • ISBN-13: 9780471979654
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  • Formaat: Hardback, 304 pages, kõrgus x laius: 250x172 mm, kaal: 780 g, index
  • Ilmumisaeg: 29-Jul-1998
  • Kirjastus: John Wiley & Sons Ltd
  • ISBN-10: 0471979651
  • ISBN-13: 9780471979654
Teised raamatud teemal:
Community Computing Collaboration Over Global Information Networks Edited by Toru Ishida Kyoto University, Japan With the success of network software suites, groupware has rapidly acquired a high level of commercial interest. Drawing together the various origins of this technology from distributed computing, communication networks, autonomous agents and multi-agent systems, this book opens an important new avenue of research into global collaboration systems for a wide variety of people. It also makes an interesting case study of human-computer interaction and the role of technologies in virtual communities. This book extends groupware for human communities. Conventional groupware typically supports the cooperative work of formally organized groups of people. The collaboration technologies introduced in this book, unlike conventional groupware, is designed to support the process of organizing people who are willing to share mutual understanding and experiences. Community Computing draws on the combined experience of leading industrial and academic researchers to present the following five stages of social interaction in human communities:
  • Knowing each other by groundbreaking implementation of virtual spaces
  • Sharing preference and knowledge by distributed computing over the Internet
  • Generating consensus by network solutions for heterogeneous communities
  • Supporting everyday life by autonomous agents and multi-agent technologies
  • Assisting social events by intimate software on personal digital assistants
Visit Our Web Page! http://www.wiley.com/
Contributors xi(2)
Preface xiii
1 Overview of Community Computing
1(12)
1.1 Introduction
1(1)
1.2 Concept
2(2)
1.2.1 Extending Groupware for Communities
2(1)
1.2.2 Supporting Social Interactions
3(1)
1.3 Practice
4(5)
1.3.1 Knowing Each Other
4(1)
1.3.2 Sharing Preference and Knowledge
5(1)
1.3.3 Generating Consensus
6(1)
1.3.4 Supporting Everyday Life
7(1)
1.3.5 Assisting Social Events
8(1)
1.4 Future Issues
9(1)
Acknowledgments
9(1)
Bibliography
10(3)
[ Knowing Each Other] 13(78)
2 Agent Networks for Connecting People Together
13(42)
2.1 Introduction
13(2)
2.2 Agent Network
15(4)
2.2.1 Sample Scenarios
15(2)
2.2.2 Agent Network for Community
17(1)
2.2.3 Inter-Agent Protocol
18(1)
2.3 Agen Talk: Language for Describing Inter-Agent Protocols
19(18)
2.3.1 Main Features
20(1)
2.3.2 Description Model
21(3)
2.3.3 Language Syntax
24(1)
2.3.4 Execution Model
24(5)
2.3.5 Protocol Description Example
29(7)
2.3.6 Implementation
36(1)
2.4 Socia: Bridging Humans via an Agent Network
37(12)
2.4.1 Meeting Scheduling
38(4)
2.4.2 Use of a Vision Agent
42(1)
2.4.3 Scheduling Protocol
43(2)
2.4.4 Implementation
45(4)
2.5 Conclusions
49(2)
Acknowledgments
51(1)
Bibliography
51(4)
3 FreeWalk: A Three-Dimensional Meeting-Place for Communities
55(36)
3.1 Introduction
55(3)
3.2 Interaction Design of FreeWalk
58(3)
3.2.1 3D Community Common
58(1)
3.2.2 Simulating Real Life Behavior
59(1)
3.2.3 Organizing Meeting Groups
60(1)
3.3 System Design of FreeWalk
61(7)
3.3.1 Videogame Technologies
61(3)
3.3.2 Grasping Situations in the 3D Virtual Space
64(2)
3.3.3 System Configuration
66(2)
3.4 Performance Evaluation
68(2)
3.4.1 Experiments in Laboratories
68(1)
3.4.2 Intranet Experiments
69(1)
3.4.3 Internet Experiments
70(1)
3.5 Interaction Analysis
70(15)
3.5.1 Comparison of Communication Environments
70(2)
3.5.2 Hypotheses on Conversation Environments
72(1)
3.5.3 Experimental Setup
73(5)
3.5.4 Results
78(7)
3.6 Conclusions
85(2)
Acknowledgments
87(1)
Bibliography
87(4)
[ Sharing Preference and Knowledge] 91(74)
4 Market-Based QoS Control for Incorporating Community Preferences
91(36)
4.1 Introduction
91(2)
4.2 Application QoS for Community
93(3)
4.2.1 Application QoS
93(1)
4.2.2 Bandwidth Allocation Based on Application QoS
93(3)
4.3 Market-Based Approach to Distributed Resource Allocation
96(6)
4.3.1 Basic Framework of Market-Oriented Programming
97(3)
4.3.2 WALRAS Algorithm
100(2)
4.4 Market Models for Bandwidth Allocation
102(9)
4.4.1 Static Allocation Models
103(3)
4.4.2 Dynamic Allocation Models
106(5)
4.5 Experimental Evaluation by Simulation
111(3)
4.5.1 Scenario
111(1)
4.5.2 Results
112(2)
4.6 Implementation Issues in Market-Based QoS Allocation
114(8)
4.6.1 Application Domain
114(2)
4.6.2 Spatial Tradeoff
116(3)
4.6.3 Temporal Tradeoff
119(3)
4.7 Conclusions
122(2)
Bibliography
124(3)
5 The Knowledgeable Community: Facilitating Human Knowledge Sharing
127(38)
5.1 Introduction
127(1)
5.2 The Framework of the Knowledgeable Community
128(2)
5.3 The CoMeMo Mini-Project
130(14)
5.3.1 Associative Representation as Memory Organization Principle
131(2)
5.3.2 The CoMeMo Architecture
133(2)
5.3.3 The CoMeMo Workbench
135(6)
5.3.4 The CoMeMo Incorporator
141(3)
5.4 The ICoB Mini-Project
144(5)
5.4.1 The Architecture of Ontology-Centered Document Base
144(2)
5.4.2 OnTheSpot: A Planning Support Document Base System for Maintenance Task on Transformers
146(1)
5.4.3 Designers Amplifier: A Document-based Ontology Maintenance System for Designers
146(3)
5.5 The Kappa Mini-Project
149(10)
5.5.1 The Framework of the Kappa Environment
150(3)
5.5.2 Agentification
153(1)
5.5.3 Ontology Grounding
154(1)
5.5.4 Mediator
155(1)
5.5.5 Ubiquitous Interaction Channel in the Environment
156(3)
5.6 Related Work
159(3)
5.7 Concluding Remarks
162(1)
Bibliography
163(2)
[ Generating Consensus] 165(42)
6 Informal Conversation Environment for Collaborative Concept Formation
165(42)
6.1 Introduction
165(5)
6.1.1 Community Computing for the Internet Age
166(2)
6.1.2 Informal Discussion Environment for Community Computing
168(2)
6.2 Conversation, Common Concept, and Community Formation
170(4)
6.2.1 Group Thinking Model
170(2)
6.2.2 Information Sharing, Mutual Understanding, and Agreement for a Common Concept
172(1)
6.2.3 Issues and Directions for Electronic Group Thinking
173(1)
6.3 AIDE: An Informal Conversation Environment
174(11)
6.3.1 System Overview and Configuration
174(1)
6.3.2 Discussion Viewer: Shared Visual Discussion Space
175(5)
6.3.3 Conversationalist: A Computer Participant Agent
180(4)
6.3.4 Personal Desktop: Information Personalizing Desktop
184(1)
6.4 Examples of Using AIDE
185(14)
6.4.1 Mutual Understanding
185(4)
6.4.2 Information Crystallization
189(3)
6.4.3 Group Thinking
192(4)
6.4.4 Community Formation
196(3)
6.5 Discussion
199(3)
6.6 Conclusions
202(1)
Acknowledgments
203(1)
Bibliography
204(3)
[ Supporting Everyday Life] 207(38)
7 Agent Augmented Reality: Agents Integrate the Real World with Cyberspace
207(38)
7.1 Introduction
207(1)
7.2 Augmented Reality
208(4)
7.2.1 Situation Awareness of the Real World
209(1)
7.2.2 Situated Interaction
210(1)
7.2.3 Personalization
210(1)
7.2.4 Augmentation of Human Memory
211(1)
7.3 Examples of Augmented Reality Systems
212(2)
7.4 Agent Augmented Reality
214(3)
7.4.1 Situated Conversation
214(2)
7.4.2 Learning and Adaptation
216(1)
7.4.3 Collaboration
216(1)
7.5 An Architecture for Agent Augmented Reality
217(3)
7.6 An Implementation of Agent Augmented Reality
220(3)
7.7 Agent Augmented Reality Applications
223(14)
7.7.1 ShopNavi: A Shopping Assistant
223(5)
7.7.2 WalkNavi: An Interactive Tourist Guide
228(4)
7.7.3 HyperCampus: A Location-Aware Personalized Campus Navigation System
232(5)
7.8 Augmented Communication and Support for Community Activities
237(4)
7.9 Final Remarks
241(1)
Acknowledgments
242(1)
Bibliography
242(3)
[ Assisting Social Events] 245(40)
8 Mobile Digital Assistants for International Conferences
245(40)
8.1 Introduction
245(1)
8.2 ICMAS'96 Mobile Assistant Project
246(13)
8.2.1 Project Overview
246(5)
8.2.2 Action Navigator: Supporting Action Making
251(2)
8.2.3 InfoCommon: Sharing Information among Participants
253(3)
8.2.4 Community Viewer: Visualizing Community Activities
256(3)
8.3 Interaction Analysis
259(12)
8.3.1 The Strategy for Data Analysis
259(2)
8.3.2 Utilization of PDAs
261(4)
8.3.3 Utilization of Services
265(2)
8.3.4 Correlation between Utilization of Different Services
267(4)
8.4 Design Issues
271(5)
8.4.1 Storage Communication Tradeoff
271(2)
8.4.2 Connection Refusal Problem
273(3)
8.5 Conclusions
276(2)
Acknowledgments
278(1)
Bibliography
279(3)
8.A Appendix: Questionnaire Results
282(3)
Index 285