Cognitive Engineering

1. Front Matter

   Pages I-XVIII

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2. The Psychological Basis of Cognitive Modeling

   Pages 1-38

3. Parallel and Distributed Logic Programming

   Pages 39-84

4. Distributed Reasoning by Fuzzy Petri Nets: A Review

   Pages 85-122

5. Belief Propagation and Belief Revision Models in Fuzzy Petri Nets

   Pages 123-152

6. Building Expert Systems Using Fuzzy Petri Nets

   Pages 153-180

7. Distributed Learning Using Fuzzy Cognitive Maps

   Pages 181-204

8. Unsupervised Learning by Fuzzy Petri Nets

   Pages 205-231

9. Supervised Learning by a Fuzzy Petri Net

   Pages 233-255

10. Distributed Modeling of Abduction, Reciprocity, and Duality by Fuzzy Petri Nets

    Pages 257-296

11. Human Mood Detection and Control: A Cybernetic Approach

    Pages 297-330

12. Distributed Planning and Multi-agent Coordination of Robots

    Pages 331-349

13. Back Matter

    Pages 351-353

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What we profoundly witness these days is a growing number of human-centric systems and a genuine interest in a comprehensive understanding of their underlying paradigms and the development of solid and efficient design practices. We are indeed in the midst of the next information revolution, which very likely brings us into a completely new world of ubiquitous and invisible computing, Ambient Intelligent (AMI), and wearable hardware. This requires a totally new way of thinking in which cognitive aspects of design, cognitive system engineering and distributed approach play a pivotal role. This book fully addresses these timely needs by filling a gap between the two well-established disciplines of cognitive sciences and cognitive systems engineering. As we put succinctly in the preface, with the psychological perspective of human cognition in mind, “the book explores the computational models of reasoning, learning, planning and multi-agent coordination and control of the human moods”. This is an excellent, up to the point description of the book. The treatise is focused on the underlying fundamentals, spans across a vast territory embracing logic perspectives of human cognition, distributed models, parallel computing, expert systems, and intelligent robotics.

• Cognitive Science
• Cognitive Systems Engineering
• Experts systems
• Information Science
• Pattern recognition
• Simulation
• algorithms
• expert system
• intelligence
• learning
• logic programming
• modeling
• petri net
• robot
• supervised learning
• algorithm analysis and problem complexity

• Department of Electronics and Telecommunication Engineering, Jadavpur University, Calcutta, India

  Amit Konar

• University of South Australia, Adelaide, Australia

  Lakhmi Jain

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