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Computing with Instinct

Rediscovering Artificial Intelligence

  • Yang Cai

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5897)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 5897)

Table of contents

  1. Front Matter
  2. Instinctive Sensing

    1. Kevin Warwick, Slawomir J. Nasuto, Victor M. Becerra, Benjamin J. Whalley
      Pages 1-15
    2. Yang Cai, Károly D. Pados
      Pages 16-34
    3. Pierre Vernhes, Paul Whitmore
      Pages 35-46
  3. Instinctive Communication

    1. Yang Cai, David Kaufer, Emily Hart, Yongmei Hu
      Pages 47-57
    2. Yongmei Hu, David Kaufer, Suguru Ishizaki
      Pages 58-81
    3. Daniel Sonntag
      Pages 82-106
  4. Instinctive Environments

    1. Yvonne R. Masakowski, Steven K. Aguiar
      Pages 107-118
    2. Manuel García–Herranz, Xavier Alamán, Pablo A. Haya
      Pages 119-142
    3. M. J. O’Grady, J. Ye, G. M. P. O’Hare, S. Dobson, R. Tynan, R. Collier et al.
      Pages 143-161
  5. Back Matter

About this book

Introduction

Simplicity in nature is the ultimate sophistication. The world's magnificence has been enriched by the inner drive of instincts, the profound drive of our everyday life. Instinct is an inherited behavior that responds to environmental stimuli. Instinctive computing is a computational simulation of biological and cognitive instincts, which influence how we see, feel, appear, think and act. If we want a computer to be genuinely secure, intelligent, and to interact naturally with us, we must give computers the ability to recognize, understand, and even to have primitive instincts.

This book, Computing with Instincts, comprises the proceedings of the Instinctive Computing Workshop held at Carnegie Mellon University in the summer of 2009. It is the first state-of-the-art survey on this subject. The book consists of three parts: Instinctive Sensing, Communication and Environments, including new experiments with in vitro biological neurons for the control of mobile robots, instinctive sound recognition, texture vision, visual abstraction, genre in cultures, human interaction with virtual world, intuitive interfaces, exploitive interaction, and agents for smart environments.

Keywords

brain-like computing new computing paradigms robot control signal processing unconventional computing

Editors and affiliations

  • Yang Cai
    • 1
  1. 1.Ambient Intelligence Lab, CIC-2218Carnegie Mellon UniversityPittsburghUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-19757-4
  • Copyright Information Springer Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-19756-7
  • Online ISBN 978-3-642-19757-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site