Computer Science Reconsidered: The Invocation Model of Process Expression - Hardcover

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Karl M. Fant is the founder and CEO of Theseus Research, Inc., a consulting firm specializing in the design and implementation of real-time image processing systems as well as ongoing research into the theory of computers. Mr. Fant developed the NULL Convention Logic, a fully expressive logic for designing and implementing clockless digital electronic circuits and systems. He is coinventor of Computer Generated Synthesized Imagery, which generates photo-realistic scenes in real time from libraries of photographic images. He holds twenty-eight patents.

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A groundbreaking, seminal work that challenges the theoretical foundations of computer science

This seminal work will challenge and change your understanding of computers and computing. Since the invention of the computer, it has been accepted with little question that the theoretical foundations of computer science are found in mathematics. The difficulties of computer science have been attributed to the inherent complexity of computation, which can only be overcome with disciplined methodology.

The author of this text presents a convincing and carefully structured argument that shows why linking computer science to mathematics results in unnecessary complexity and confusion. Instead, the author sets forth and demonstrates the viability and practicality of a new conceptual model, the invocation model of process expression. This model links the design and function of computer systems with the design and function of biological systems. Moreover, the author shows how changing your underlying assumptions sheds new light on dealing with such complex issues as concurrency, digital computers, and biological cells.

The chapters of this text are organized under three main topics:

• The Problem: Why the underlying theory of contemporary computer science is not helpful

• The Solution: How the invocation model of process expression solves many problems of contemporary computer science

• The Invocation Language: How the invocation model is embodied in symbol string expression

For computer scientists and engineers, this publication opens up a completely new way of understanding what computers are, how they work, and what they can do. For students of computer science, it offers an alternative theory that helps them understand and overcome some of the limitations imposed by current theory.

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A groundbreaking, seminal work that challenges the theoretical foundations of computer science

This seminal work will challenge and change your understanding of computers and computing. Since the invention of the computer, it has been accepted with little question that the theoretical foundations of computer science are found in mathematics. The difficulties of computer science have been attributed to the inherent complexity of computation, which can only be overcome with disciplined methodology.

The author of this text presents a convincing and carefully structured argument that shows why linking computer science to mathematics results in unnecessary complexity and confusion. Instead, the author sets forth and demonstrates the viability and practicality of a new conceptual model, the invocation model of process expression. This model links the design and function of computer systems with the design and function of biological systems. Moreover, the author shows how changing your underlying assumptions sheds new light on dealing with such complex issues as concurrency, digital computers, and biological cells.

The chapters of this text are organized under three main topics:

• The Problem: Why the underlying theory of contemporary computer science is not helpful

• The Solution: How the invocation model of process expression solves many problems of contemporary computer science

• The Invocation Language: How the invocation model is embodied in symbol string expression

For computer scientists and engineers, this publication opens up a completely new way of understanding what computers are, how they work, and what they can do. For students of computer science, it offers an alternative theory that helps them understand and overcome some of the limitations imposed by current theory.