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The Resource Metasynthetic Computing and Engineering of Complex Systems

Metasynthetic Computing and Engineering of Complex Systems

Label
Metasynthetic Computing and Engineering of Complex Systems
Title
Metasynthetic Computing and Engineering of Complex Systems
Creator
Subject
Language
eng
Summary
Provides a comprehensive overview and introduction to the concepts, methodologies, analysis, design and applications of metasynthetic computing and engineering. The author: Presents an overview of complex systems, especially open complex giant systems such as the Internet, complex behavioural and social problems, and actionable knowledge discovery and delivery in the big data era. Discusses ubiquitous intelligence in complex systems, including human intelligence, domain intelligence, social intelligence, network intelligence, data intelligence and machine intelligence, and their synergy through metasynthetic engineering. Explains the concept and methodology of human-centred, human-machine-cooperated qualitative-to-quantitative metasynthesis for understanding and managing open complex giant systems, and its computing approach: metasynthetic computing. Introduces techniques and tools for analysing and designing problem-solving systems for open complex problems and systems. Metasynthetic Computing and Engineering uses the systematology methodology in addressing system complexities in open complex giant systems, for which it may not only be effective to apply reductionism or holism. The book aims to encourage and inspire discussions, design, implementation and reflection of effective methodologies and tools for computing and engineering open complex systems and problems. Researchers, research students and practitioners in complex systems, artificial intelligence, data science, computer science, and even system science, cognitive science, behaviour science, and social science, will find this book invaluable
Member of
Cataloging source
MiAaPQ
Literary form
non fiction
Nature of contents
dictionaries
Series statement
Advanced Information and Knowledge Processing
Metasynthetic Computing and Engineering of Complex Systems
Label
Metasynthetic Computing and Engineering of Complex Systems
Link
http://libproxy.rpi.edu/login?url=https://ebookcentral.proquest.com/lib/rpi/detail.action?docID=2096842
Publication
Copyright
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Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Preface -- Contents -- Chapter 1: Complex Systems -- 1.1 Introduction -- 1.2 System Complexities -- 1.3 System Transparency -- 1.3.1 Black Boxes -- 1.3.2 White Boxes -- 1.3.3 Glass Boxes -- 1.3.4 Grey Boxes -- 1.4 System Classification -- 1.5 Complex Agent Systems -- 1.5.1 Multiagent Systems -- 1.5.1.1 What Are Multiagent Systems -- 1.5.1.2 Multiagent System Research Map -- 1.5.2 Large-Scale Systems -- 1.5.3 Large-Scale Multiagent Systems -- 1.5.3.1 Concepts and Issues -- 1.5.3.2 How Are ULS Systems Different? [40] -- 1.5.3.3 Major Research Issues -- 1.5.4 Open Complex Agent Systems -- 1.5.4.1 Multiagent System Classification -- 1.5.4.2 Open Complex Agent Systems -- 1.6 Hybrid Intelligent Systems -- 1.6.1 Concept -- 1.6.2 Hybridization Strategies -- 1.6.3 Design Strategies -- 1.6.4 Typical Hybrid Applications -- 1.7 Evolution of Intelligent Systems -- 1.8 Open Giant Intelligent Systems -- 1.9 Computing and Engineering Complex Systems -- 1.10 Summary -- References -- Chapter 2: Ubiquitous Intelligence -- 2.1 Introduction -- 2.2 Data Intelligence -- 2.2.1 What Is Data Intelligence? -- 2.2.2 Aims of Involving Data Intelligence -- 2.2.3 Aspects of Data Intelligence -- 2.3 Domain Intelligence -- 2.3.1 What Is Domain Intelligence? -- 2.3.2 Aims of Involving Domain Intelligence -- 2.3.3 Aspects of Domain Intelligence -- 2.4 Network Intelligence -- 2.4.1 What Is Network Intelligence? -- 2.4.2 Aims of Involving Network Intelligence -- 2.4.3 Aspects of Network Intelligence -- 2.5 Human Intelligence -- 2.5.1 What Is Human Intelligence? -- 2.5.2 Aims of Involving Human Intelligence -- 2.5.3 Aspects of Human Intelligence -- 2.6 Organizational Intelligence -- 2.6.1 What Is Organizational Intelligence? -- 2.6.2 Aims of Involving Organizational Intelligence -- 2.6.3 Aspects of Organizational Intelligence -- 2.7 Social Intelligence
  • 2.7.1 What Is Social Intelligence? -- 2.7.2 Aims of Involving Social Intelligence -- 2.7.3 Aspects of Social Intelligence -- 2.8 Metasynthesis of Ubiquitous Intelligence -- 2.9 Summary -- References -- Chapter 3: System Methodologies -- 3.1 Introduction -- 3.2 Reductionism -- 3.3 Holism -- 3.4 Systematology -- 3.5 Summary -- References -- Chapter 4: Computing Paradigms -- 4.1 Introduction -- 4.2 Objects and Object-Oriented Methodology -- 4.3 Components and Component-Based Methodology -- 4.4 Services and Service-Oriented Methodology -- 4.5 Agents and Agent-Oriented Methodology -- 4.5.1 Goal-Oriented Requirements Analysis -- 4.5.2 Agent-Oriented Software Engineering -- 4.5.2.1 MaSE -- 4.5.2.2 MESSAGE -- 4.5.2.3 TROPOS -- 4.5.2.4 GAIA -- 4.5.3 Issues in Agent-Oriented Software Engineering -- 4.6 Relations Among Agents, Objects, Components, and Services -- 4.7 Autonomic Computing -- 4.8 Organizational Computing -- 4.9 Behavior Computing -- 4.10 Social Computing -- 4.11 Cloud/Service Computing -- 4.12 Metasynthetic Computing -- References -- Chapter 5: Metasynthesis -- 5.1 Introduction -- 5.2 Open Complex Giant Systems -- 5.3 OCGS System Complexities -- 5.4 Knowledge and Intelligence Emergence -- 5.5 Theoretical Framework of Metasynthesis -- 5.6 Problem-Solving Process in M-Space -- 5.7 Social Cognitive Intelligence Emergence in M-Space -- 5.7.1 Individual Cognitive Model -- 5.7.2 Social Cognitive Interaction Model -- Member norm: sample norms, rules, and policies for social cognitive interaction -- Interaction protocol: sample codes of conduct for social cognitive interaction -- Interaction protocol: sample codes of conduct for social cognitive interaction -- Interaction operator: sample operators representing interaction modes -- 5.7.3 Cognitive Intelligence Emergence -- 5.8 Thinking Pitfalls in M-Interactions
  • Strategy: avoiding dependent thinking in M-interactions -- Strategy: avoiding over-divergent thinking in M-interactions -- Strategy: avoiding group thinking in M-interactions -- Strategy: avoiding rigid thinking in M-interactions -- 5.9 M-Computing: Engineering OCGS -- 5.10 Discussions -- References -- Chapter 6: OSOAD Methodology -- 6.1 Introduction -- 6.2 Organizational Abstraction -- 6.2.1 Actors -- 6.2.2 Environment -- 6.2.3 Interaction -- 6.2.4 Organizational Rules -- 6.2.5 Organizational Structure -- 6.2.6 Organizational Goal -- 6.2.7 Organizational Dynamics -- 6.3 Organization-Oriented Analysis -- 6.3.1 Challenges for Current Organization-Related Software Engineering -- 6.3.2 What is Organization-Oriented Analysis? -- 6.4 Agent Service-Oriented Design -- 6.4.1 Agent Service, Services of Agent, and Services of Service -- 6.4.2 Why Agent Service-Oriented Design? -- 6.4.3 What is Agent Service-Oriented Design? -- 6.4.4 Agent Service-Oriented Architectural Design -- 6.4.5 Agent Service-Oriented Detailed Design -- 6.5 Building Organization and Service-Oriented Software Engineering -- 6.6 Summary -- References -- Chapter 7: Visual Modeling -- 7.1 Introduction -- 7.2 Actor Model -- 7.2.1 Actor Classification -- 7.2.2 Role Model -- 7.3 Environment Model -- 7.3.1 Characteristics of Agent Environment -- 7.3.2 Classification of Agent Environment -- 7.3.2.1 Physical Environment -- 7.3.2.2 Electronic Environment -- 7.3.2.3 Social Environment -- 7.3.3 POMDPAEI Model -- 7.4 Modeling Organizational Rules -- 7.4.1 Structural Rules -- 7.4.2 Problem-Solving Rules -- 7.4.2.1 Goal Decomposition Rules -- 7.4.2.2 Iteration Rules -- 7.4.2.3 Contribution Rules -- 7.4.2.4 Cardinality Rules -- 7.4.3 Rule Combinations -- 7.5 Modeling Organizational Structure -- 7.5.1 GAIRE Model -- 7.6 Organizational Dynamics Analysis -- 7.7 Interaction Ontology
  • 7.7.1 Interaction Protocols -- 7.7.2 Organizational Patterns -- 7.7.3 Interaction Levels -- 7.7.4 Interaction Rules -- 7.8 Interaction Protocols Engineering -- 7.8.1 Analysis -- 7.8.2 Interaction Protocol Ontology -- 7.8.3 Specifications of Interaction Protocol -- 7.8.4 Interaction Metaprotocols -- 7.9 Modeling Interaction Patterns -- 7.9.1 Pattern Description Template -- 7.9.2 Case Study: Contract Net Protocol -- 7.10 Agent-Environment Interaction -- 7.10.1 What is Agent-Environment Interaction? -- 7.10.2 Modeling Based on Markov Decision Process -- 7.10.3 Modeling Based on the Science of Complexity -- 7.10.4 Dynamic System Theory -- 7.10.5 Case Study: Markov State Chain -- 7.11 Summary -- References -- Chapter 8: Formal Modeling -- 8.1 Introduction -- 8.2 First-Order Linear-Time Temporal Logics -- 8.2.1 Formal Assertions -- 8.2.2 Real-Time Temporal Logics -- 8.3 Temporal Specification -- 8.4 Formulae for Organizational Abstraction -- 8.4.1 Actor -- 8.4.2 Environment -- 8.4.3 Rule -- 8.4.4 Properties and Keywords -- 8.5 Modeling Roles -- 8.6 Modeling Interaction -- 8.7 FIPA ACL Message Specifications -- 8.7.1 ACL Protocol Description Language -- 8.7.2 Modeling ACL Messages -- 8.8 Modeling Organizational Goal -- 8.9 Summary -- References -- Chapter 9: Integrative Modeling -- 9.1 Introduction -- 9.2 Integrating Functional and Nonfunctional Requirements -- 9.2.1 Functional Requirements Analysis -- 9.2.2 Nonfunctional Requirements Analysis -- 9.2.3 Analyzing Integrative Requirements -- 9.3 Visual Modeling -- 9.3.1 Goal-Oriented Visual Modeling -- 9.3.1.1 Strategic Dependency Model -- 9.3.1.2 Strategic Rationale Model -- 9.4 Formal Specifications -- 9.5 Integrative Modeling Framework -- 9.5.1 Business-Oriented Functional Requirements -- 9.5.2 Business-Oriented Nonfunctional Requirements -- 9.5.3 Integrative Modeling -- 9.6 Summary -- References
  • Chapter 10: Agent Service-Oriented Architectural Design -- 10.1 Introduction -- 10.2 Agent Service Model -- 10.2.1 Agent Model -- 10.2.2 Service Model -- 10.3 Agent Service Design Patterns -- 10.3.1 Agent Architecture Patterns -- 10.3.1.1 Deductive Agent Architecture -- 10.3.1.2 Reactive Agent Architecture -- 10.3.1.3 Belief-Desire-Intention Agent Architecture -- 10.3.2 Structural and Functional Service Patterns -- 10.4 Agent Service-Oriented Integration Architectures -- 10.4.1 Integration Levels and Techniques -- 10.4.2 Architectures for Application Integration -- 10.5 Agent Service-Oriented Integration Strategies -- 10.5.1 Multiagent+Web Services -- 10.5.2 Multiagent+Service-Oriented Computing -- 10.6 Agent Service Management and Communications -- 10.7 Agent Service Coordination -- 10.7.1 Coordination Methods -- 10.7.1.1 Organizational Member-Level Coordination -- 10.7.1.2 Organization-Level Coordination -- 10.7.2 Coordination Modeling and Patterns -- 10.8 Case Study -- 10.9 Summary -- References -- Chapter 11: Agent Service-Oriented Detailed Design -- 11.1 Introduction -- 11.2 Agent Service Ontology -- 11.2.1 Extracting Problem-Solving Ontology -- 11.2.1.1 Associated Ontologies -- 11.2.1.2 Aggregated Ontologies -- 11.2.1.3 Generalized Hierarchical Ontologies -- 11.2.2 Developing Agent Service Ontology -- 11.3 Representation of Agent Services -- 11.3.1 Agent Service Specification -- 11.3.2 Case Study: Algorithm Registration Agent Service -- 11.4 Agent Service Endpoint Interfaces -- 11.4.1 Designing Agent Service Interfaces -- 11.4.2 Case Study: Algorithm Service Interface -- 11.5 Directory of Agent Services -- 11.6 Communication of Agent Services -- 11.7 Transport of Agent Services -- 11.8 Mediation of Agent Services -- 11.9 Discovery of Agent Services -- 11.10 Modeling Coordination -- 11.11 Other Strategic Issues
  • 11.11.1 Design with Agent Service-Oriented Principles
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1 online resource (360 pages)
Form of item
online
Isbn
9781447165514
Media category
computer
Media MARC source
rdamedia
Media type code
c
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remote

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