"I strongly recommend the book for computer systems and scientific applications in specialist teaching disciplines, as well as practical and industrial-based or research-driven enhancement and management-science sectors." (Computing Reviews
, January 30, 2009)
"…Fant's work is certainly thought-provoking and should be of great interest to those concerned with theoretical computer science." (British Computer Society Book Reviews)
"Karl Fant has written a very compelling book that should be read by academicians and practitioners alike." (Ubiquity, August 28, 2007)
From the Back Cover
A groundbreaking, seminal work that challenges the theoreticalfoundations of computer science
This seminal work will challenge and change your understandingof computers and computing. Since the invention of the computer, ithas been accepted with little question that the theoreticalfoundations of computer science are found in mathematics. Thedifficulties of computer science have been attributed to theinherent complexity of computation, which can only be overcome withdisciplined methodology.
The author of this text presents a convincing and carefullystructured argument that shows why linking computer science tomathematics results in unnecessary complexity and confusion.Instead, the author sets forth and demonstrates the viability andpracticality of a new conceptual model, the invocation model ofprocess expression. This model links the design and function ofcomputer systems with the design and function of biologicalsystems. Moreover, the author shows how changing your underlyingassumptions sheds new light on dealing with such complex issues asconcurrency, digital computers, and biological cells.
The chapters of this text are organized under three maintopics:
The Problem: Why the underlying theory of contemporary computerscience is not helpful
The Solution: How the invocation model of process expressionsolves many problems of contemporary computer science
The Invocation Language: How the invocation model is embodied insymbol string expression
For computer scientists and engineers, this publication opens upa completely new way of understanding what computers are, how theywork, and what they can do. For students of computer science, itoffers an alternative theory that helps them understand andovercome some of the limitations imposed by current theory.