Robots, Reasoning, and Reification

  • James P. Gunderson
  • Louise F. Gunderson

Table of contents

  1. Front Matter
    Pages 1-11
  2. L. F. Gunderson, J. P. Gunderson
    Pages 1-8
  3. L. F. Gunderson, J. P. Gunderson
    Pages 1-12
  4. L. F. Gunderson, J. P. Gunderson
    Pages 1-10
  5. L. F. Gunderson, J. P. Gunderson
    Pages 1-7
  6. L. F. Gunderson, J. P. Gunderson
    Pages 1-17
  7. L. F. Gunderson, J. P. Gunderson
    Pages 1-8
  8. L. F. Gunderson, J. P. Gunderson
    Pages 1-21
  9. L. F. Gunderson, J. P. Gunderson
    Pages 1-13
  10. L. F. Gunderson, J. P. Gunderson
    Pages 1-19
  11. L. F. Gunderson, J. P. Gunderson
    Pages 1-17
  12. L. F. Gunderson, J. P. Gunderson
    Pages 1-17
  13. L. F. Gunderson, J. P. Gunderson
    Pages 1-26
  14. L. F. Gunderson, J. P. Gunderson
    Pages 1-4
  15. Back Matter
    Pages 1-15

About this book

Introduction

Robots, Reasoning, and Reification focuses on a critical obstacle that is preventing the development of intelligent, autonomous robots:the gap between the ability to reason about the world and the ability to sense the world and translate that sensory data into a symbolic model.

This ability is what enables living systems to look at the world and perceive the things in it. In addition, intelligent living systems can extrapolate from their mental models and predict the effects of their actions in the real world. The authors call this bi-directional mapping of sensor data to symbols and symbolic manipulation onto real world effects reification. After exploring the gulf between bottom-up and top-down approaches to autonomous robotics, the book develops the concepts of reification from biologically based premises, and follows the development into the necessary components and structures that can be used to provide equivalent capabilities for intelligent robots. It continues by demonstrating how the reification engine supports both learning from experience and creating new behaviors and representations of the world.

Keywords

Bidirectional Mapping Embedded Systems Intelligent Systems Robots autonom autonomous robot autonomous robotics behavior cognition learning memory ontology perception robot robotics

Authors and affiliations

  • James P. Gunderson
    • 1
  • Louise F. Gunderson
    • 2
  1. 1.DenverU.S.A.
  2. 2.DenverU.S.A.

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-87488-3
  • Copyright Information Springer Science+Business Media, LLC 2009
  • Publisher Name Springer, Boston, MA
  • eBook Packages Computer Science
  • Print ISBN 978-0-387-87487-6
  • Online ISBN 978-0-387-87488-3
  • About this book