Distributed Artificial Intelligence A Modern Approach.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Yadav, Satya Prakash
Otros Autores: Mahato, Dharmendra Prasad, Linh, Nguyen Thi Dieu
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Milton : Taylor & Francis Group, 2020.
Colección:Internet of Everything (IoE) Ser.
Temas:
Distributed artificial intelligence.
Intelligence artificielle répartie.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover
  • Half Title
  • Series Page
  • Title Page
  • Copyright Page
  • Table of Contents
  • Preface
  • Editors
  • Contributors
  • Chapter 1 Distributed Artificial Intelligence
  • 1.1 Introduction
  • 1.2 Why Distributed Artificial Intelligence?
  • 1.3 Characteristics of Distributed Artificial Intelligence
  • 1.4 Planning of DAI Multi-Agents
  • 1.5 Coordination among Multi-Agents
  • 1.5.1 Forestalling Mobocracy or Confusion
  • 1.5.2 Meeting Overall Requirements
  • 1.5.3 Distributed Skill, Resources, and Data
  • 1.5.4 Dependency among the Agents
  • 1.5.5 Efficiency
  • 1.6 Communication Modes among the Agents
  • 1.7 Categories of RPC
  • 1.8 Participation of Multi-Agents
  • 1.8.1 Fully Cooperative Architecture
  • 1.8.2 Partial Cooperative Architecture
  • 1.9 Applications of DAI
  • 1.9.1 Electricity Distribution
  • 1.9.2 Telecommunications Systems
  • 1.9.3 Database Technologies for Service Order Processing
  • 1.9.3.1 Concurrent Engineering
  • 1.9.3.2 Weather Monitoring
  • 1.9.3.3 Intelligent Traffic Control
  • 1.10 Conclusion
  • References
  • Chapter 2 Intelligent Agents
  • 2.1 Introduction
  • 2.2 Need for Evolving Agents in Evolutionary Software Systems
  • 2.2.1 Change of Requirements
  • 2.2.2 Need for an Evolving System
  • 2.2.3 Software System
  • 2.2.4 Evolving Software System
  • 2.3 Agents
  • 2.3.1 Evolving Agents
  • 2.3.2 Agent Architecture
  • 2.3.3 Application Domain
  • 2.3.3.1 Types of Agents
  • References
  • Chapter 3 Knowledge-Based Problem-Solving: How AI and Big Data Are Transforming Health Care
  • 3.1 Introduction
  • 3.2 The Role of AI, Big Data, and IoT in Health Care
  • 3.3 Image-Based Diagnosis
  • 3.4 Big Data Analytics Process Using Machine Learning
  • 3.5 Discussion
  • 3.6 Conclusion
  • References
  • Chapter 4 Distributed Artificial Intelligence for Document Retrieval
  • 4.1 Introduction
  • 4.2 Proposed Research
  • 4.2.1 Improving Precision
  • 4.3 General-Purpose Ranking
  • 4.4 Structure-Weighted Ranking
  • 4.5 The Structure-Weighted/Learned Function
  • 4.6 Improving Recall and Precision
  • 4.6.1 Stemming
  • 4.6.2 Relevance Feedback
  • 4.6.3 Thesaurus
  • 4.7 Preliminary Results
  • 4.8 Scope for Distributed AI in This Process
  • 4.9 Benefits of Decentralized Search Engines
  • 4.10 Discussion
  • 4.11 Conclusion
  • References
  • Chapter 5 Distributed Consensus
  • 5.1 Introduction
  • 5.2 Nakamoto Consensus
  • 5.2.1 Nakamoto Consensus Working
  • 5.2.1.1 Proof of Work
  • 5.2.1.2 Block Selection
  • 5.2.1.3 Scarcity
  • 5.2.1.4 Incentive Structure
  • 5.2.2 Security of Bitcoin
  • 5.2.3 The PoW Algorithm
  • 5.2.4 Proof of Stake
  • 5.2.5 Proof of Burn
  • 5.2.6 Difficulty Level
  • 5.2.7 Sybil Attack
  • 5.2.7.1 Eclipse Attack
  • 5.2.8 Hyperledger Fabric: A Blockchain Development
  • 5.3 Conclusions and Discussions
  • References
  • Chapter 6 DAI for Information Retrieval
  • 6.1 Introduction
  • 6.2 Distributed Problem-Solving
  • 6.3 Multiagents

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