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  • © 2010

Cognitive Reasoning

A Formal Approach

  • This book describes the theory, methodology and algorithmization of a new approach to problem solving and its realization in the form of intelligent systems
  • Includes supplementary material: sn.pub/extras

Part of the book series: Cognitive Technologies (COGTECH)

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Table of contents (29 chapters)

  1. Handling Complex Structures

    1. Introductory Explanation

      • Oleg M. Anshakov, Tamás Gergely
      Pages 277-290
    2. Set-Admitting Structures

      • Oleg M. Anshakov, Tamás Gergely
      Pages 291-299
    3. Set Sorts in Modification Calculi

      • Oleg M. Anshakov, Tamás Gergely
      Pages 301-311
    4. Perfect Modification Calculi (PMC)

      • Oleg M. Anshakov, Tamás Gergely
      Pages 313-339
  2. JSM Theories

    1. Front Matter

      Pages 341-341
    2. Introductory Explanation

      • Oleg M. Anshakov, Tamás Gergely
      Pages 343-344
    3. Simple JSM Theories

      • Oleg M. Anshakov, Tamás Gergely
      Pages 345-354
    4. Advanced JSM Theories

      • Oleg M. Anshakov, Tamás Gergely
      Pages 355-363
    5. Similarity Representation

      • Oleg M. Anshakov, Tamás Gergely
      Pages 365-370
    6. JSM Theories for Complex Structures

      • Oleg M. Anshakov, Tamás Gergely
      Pages 371-379
  3. Looking Back and Ahead

    1. Front Matter

      Pages 381-381
    2. Introductory Overview

      • Oleg M. Anshakov, Tamás Gergely
      Pages 383-385
    3. Towards the Realisation

      • Oleg M. Anshakov, Tamás Gergely
      Pages 387-398
    4. CR Framework

      • Oleg M. Anshakov, Tamás Gergely
      Pages 399-406
    5. Open Problems

      • Oleg M. Anshakov, Tamás Gergely
      Pages 407-409
    6. Philosophical–Methodological Implications of the Proposed CR Framework

      • Oleg M. Anshakov, Tamás Gergely
      Pages 411-419
  4. Back Matter

    Pages 421-437

About this book

Dealing with uncertainty, moving from ignorance to knowledge, is the focus of cognitive processes. Understanding these processes and modelling, designing, and building artificial cognitive systems have long been challenging research problems.

This book describes the theory and methodology of a new, scientifically well-founded general approach, and its realization in the form of intelligent systems applicable in disciplines ranging from social sciences, such as cognitive science and sociology, through natural sciences, such as life sciences and chemistry, to applied sciences, such as medicine, education, and engineering.

The main subject developed in the book is cognitive reasoning investigated at three levels of abstraction: conceptual, formal, and realizational. The authors offer a model of a cognizing agent for the conceptual theory of cognitive reasoning, and they also present a logically well-founded formal cognitive reasoning framework to handle the various plausible reasoning methods. They conclude with an object model of a cognitive engine.

The book is suitable for researchers, scientists, and graduate students working in the areas of artificial intelligence, mathematical logic, and philosophy.

Authors and Affiliations

  • Applied Logic Laboratory, Budapest, Hungary

    Tamás Gergely

  • All-Russian Institute of Scientific &, Technical Information (VINITI RAN), Russian Academy of Sciences, Moskva, Russian Federation

    Oleg M. Anshakov

Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access