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Instinctive Computing

  • Book
  • © 2016

Overview

Authors:
  1. Yang Cai

    1. Carnegie Mellon University, Pittsburgh, USA

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  • Explores connections between artificial intelligence and natural intelligence
  • Presents novel models and algorithms such as the self-awareness model, the euphoria behavioral model, analogia graph, and the Hansel and Gretel tessellation algorithm
  • Provides a wide range of in-depth real-world examples for students, researchers, analysts, engineers, and managers

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-xiv
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  2. Primitive Problem-Solving

    1. Front Matter

      Pages 1-1
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    2. Introduction

      • Yang Cai
      Pages 3-11

    3. Default Mode

      • Yang Cai
      Pages 13-34

    4. Pheromone Trails

      • Yang Cai
      Pages 35-53

    5. Foraging Behaviors

      • Yang Cai
      Pages 55-74

    6. Primitive Learning

      • Yang Cai
      Pages 75-94

    7. Tool Making

      • Yang Cai
      Pages 95-115

  3. Instinctive Cognition

    1. Front Matter

      Pages 117-117
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    2. Perceiving Motion Patterns

      • Yang Cai
      Pages 119-142

    3. Sensuality

      • Yang Cai
      Pages 143-164

    4. Euphoria Dynamics

      • Yang Cai
      Pages 165-185

    5. Describing Faces

      • Yang Cai
      Pages 187-212

    6. Figurative Thinking

      • Yang Cai
      Pages 213-232

    7. Machine Creativity

      • Yang Cai
      Pages 233-251

  4. Evolving Cybernetics

    1. Front Matter

      Pages 253-253
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    2. Self-Awareness

      • Yang Cai
      Pages 255-283

    3. Stealth

      • Yang Cai
      Pages 285-302

    4. Visual Privacy

      • Yang Cai
      Pages 303-318

    5. Navigating and Covering

      • Yang Cai
      Pages 319-335
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Keywords

About this book

This book attempts to connect artificial intelligence to primitive intelligence. It explores the idea that a genuinely intelligent computer will be able to interact naturally with humans. To form this bridge, computers need the ability to recognize, understand and even have instincts similar to humans.

The author organizes the book into three parts. He starts by describing primitive problem-solving, discussing topics like default mode, learning, tool-making, pheromones and foraging. Part two then explores behavioral models of instinctive cognition by looking at the perception of motion and event patterns, appearance and gesture, behavioral dynamics, figurative thinking, and creativity. The book concludes by exploring instinctive computing in modern cybernetics, including models of self-awareness, stealth, visual privacy, navigation, autonomy, and survivability.

Instinctive Computing reflects upon systematic thinking for designing cyber-physical systems and it would be a stimulating reading for those who are interested in artificial intelligence, cybernetics, ethology, human-computer interaction, data science, computer science, security and privacy, social media, or autonomous robots.

Reviews

“This is a very well-written and well-organized book with a massive collection of references. It also contains a useful index, which will assist the reader with navigation. … it will certainly pique the interest of students and professionals within the computing field. Summing Up: Recommended. Graduate students, faculty, and professionals.” (J. Beidler, Choice, Vol. 54 (12), August, 2017)

Authors and Affiliations

  • Carnegie Mellon University, Pittsburgh, USA

    Yang Cai

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