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Conceptual Mind and Computing Paradigm (2nd Edition) : A = (f(m), I) - E a Galvis

Conceptual Mind and Computing Paradigm (2nd Edition)

A = (f(m), I)

By: E a Galvis, D E Galvis (Contribution by), J M Galvis (Contribution by)

Paperback | 5 February 2016

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Biomimetics is the examination of nature, its models, systems, processes, and elements to emulate or take inspiration from, in order to solve human problems. The term Biomimetics comes from the Greek words bios, meaning life, and mimesis, meaning to imitate.The human mind represents the pinnacle of natural creation. Nothing else in the known universe comes close. According to cognitive psychology, computer systems are information processors, like our minds. Therefore, computer systems can be significantly improved by mimicking the conceptual paradigm and model leveraged by the mind. Conceptually, the mind is designed for a single purpose or function: processing of information. The natural mind is an entity of beautiful and mathematical simplicity. Only three concepts are involved as part of the mind's 'computing model': information (Energy), messaging, and information machine/processor (A=(f(m),I)). Thus, Computing is reduced to these ubiquitous natural concepts. Realistically, messaging represents the only mechanism of communication between the mind and its environment. As a consequence of the Turing-complete Conceptual computing model mimicked from the mind, software/information technology is improved in several aspects including overall complexity, mathematical foundations, realistic correspondence (realism), encapsulation, reusability, decoupling, interoperability, scalability, quality, cost, and timeframe. This book contains several production-quality examples that illustrate the wide applicability of the model. The Conceptual computing model is also consistent with or supported by leading theories and scientific research about the mind. In harmony with such theories, the unified Conceptual model explains and mimics key cognitive abilities including memory, logical reasoning, symbol/language manipulation, learning, and goal oriented behavior. The approach is receiving positive reviews. For instance: "The [Conceptual] approach is very interesting, relevant, and can be applied to several different CS topic areas/courses." "Applying Biomathematics and Philosophy to software engineering models and programming languages is a novel concept." " It's fascinating. You have clearly put an enormous amount of thought and effort your topic is one that spans many [areas] from a software engineering perspective." "Interesting and provocative approach." "You are trying to completely change the way people in computing think and work."

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