Visit our Christmas Gift Finder
Click & Collect from 2 Hours
Last Christmas Delivery Dates
Free UK Standard Delivery on orders £20 and over Order in time for Christmas 18th December 2nd Class | 19th December 1st Class Free Click & Collect to shops From 2 hours of your order*
Knowledge in Formation: A Computational Theory of Interpretation - Cognitive Technologies (Paperback)
  • Knowledge in Formation: A Computational Theory of Interpretation - Cognitive Technologies (Paperback)
zoom

Knowledge in Formation: A Computational Theory of Interpretation - Cognitive Technologies (Paperback)

(author), (author), (author)
£123.00
Paperback 217 Pages / Published: 03/08/2013
  • We can order this

Usually dispatched within 3 weeks

  • This item has been added to your basket

Humans have an extraordinary capability to combine different types of information in a single meaningful interpretation. The quickness with which interpretation processes evolve suggests the existence of a uniform procedure for all domains. In this book the authors suggest that such a procedure can be found. They concentrate on the introduction of a theory of interpretation, and they define a model that enables a meaningful representation of knowledge, based on a dynamic view of information and a cognitive model of human information processing.

The book consists of three parts. The first part focuses on the properties of signs and sign interpretation; in the second part the authors introduce a model that complies with the conditions for sign processing set by the first part; and in the third part they examine applications of their model in the domain of logic, natural language, reasoning and mathematics. Finally they show how these domains pop up as perspectives in an overall model of knowledge representation.

The reader is assumed to have some interest in human information processing and knowledge modeling. Natural language is considered in the obvious sense, familiarity with linguistic theories is not required. Sign theoretical concepts are restricted to a manageable subset, which is introduced gently. Finally, some familiarity with basic concepts of propositional and syllogistic logic may be useful.

Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN: 9783642268694
Number of pages: 217
Weight: 361 g
Dimensions: 235 x 155 x 12 mm
Edition: 2011 ed.


MEDIA REVIEWS

From the reviews:

"The book introduces a new model of knowledge representation that respects the properties of human information processing as well as the properties of signs. ... The book chapters are interpreted as events in a process that aims to conceptualize knowledge representation as a phenomnenon. The theory in the book is accompanied by a lot of relevant examples. Each chapter is finished by a short summary of related research. ... The book can be recommended to anybody interested in human information processing and knowledge modelling." (Jaroslav Pokorny, Zentralblatt MATH, Vol. 1244, 2012)

You may also be interested in...

The Soar Cognitive Architecture
Added to basket
Human-Computer Interaction
Added to basket
Machine Learning
Added to basket
Probabilistic Robotics
Added to basket
The Singularity Is Near
Added to basket
Intelligence Emerging
Added to basket
The Quest for Artificial Intelligence
Added to basket
Visualize This
Added to basket
£30.99
Paperback
Artificial Intelligence
Added to basket
Bayesian Reasoning and Machine Learning
Added to basket
Programming Computer Vision with Python
Added to basket
Dark Pools
Added to basket
£9.99
Paperback
Artificial Intelligence
Added to basket
Theory of Conditional Games
Added to basket

Reviews

Please sign in to write a review

Your review has been submitted successfully.