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A Skeptic's Investigation Into Jesus
"Does human life have any significance? The statements below have become widely accepted in the Western world: " ife is the accidental product of random events." he laws of physics are totally deterministic." cience does not accept a connection between physical matter and human consciousness." theism is a conclusion from evidence while faith is speculation." cience and faith are incompatible." uffering contradicts the existence of a loving, omnipotent God." esus was a compilation of pagan mythologies or a human teacher who was deified. But do these statements represent eternal truths? Are they logical conclusions based on established facts or merely opinions? What is the evidence? To investi...
Neurophilosophy
"A Bradford book." Bibliography: p. [491]-523. Includes index.
Neurocomputing
None
The Fractal Brain Theory
The Fractal Brain Theory, or the Symmetry, Self Similarity and Recursivity Theory of Brain and Mind, is a Revolutionary new way of looking at the nature of intelligence and also genomics. It is the key to a powerful and new kind of Recursively Self Modifying Artificial Intelligence. Wai H. Tsang presents an exciting new synthesis of all things psychological, linguistic, neuroscientific, genomic, evolutionary, informatic, computational, complex and fractal. Dealing with the most central puzzles of mind science and AI, and weaving in some of the most fundamental concepts in mathematics such as symmetry, geometry, functions, discrete maths and formal axiomatic systems. This book presents nothing less than a seamless unified theory of Brain, Mind, Artificial Intelligence, Functional Genomics, Ontogenesis and Evolution. Also covering topics such as the quest for the Perfect & Universal Language, Recursively Self Modifying Algorithms, Super Intelligence & Technological Singularity.
NEUROEPISTEMOLOGY
The Epistemologic study of the mind-mind problem (Mind-brain / ToM) and conscious cognition, can apply the "Theory of Neuronal Epistemology" (TNE) based on backpropagation of specific neural networks. For operating in functionalist terms and in a cognitive way, the TNE is supported by a connectionist model holding the algorithmic equation that includes probabilistic features, spatiotemporal units, computational components and fractal-geometric-tensorial variables. The main arguments of the TNE deal with the study of diverse neuronal lineages and their sophisticated specialization (Neuronalism and the "neurons knowledge"). A second argument is the "Protein Epistem" determining this specialization degree, and the third is associated with connectionism. The essential unit of the TNE formula is the Fractal Coincidental Pattern (FCP) used for evaluating the multiple-vectorial probabilities of this "small world" during the quantal release of neurotransmitters.
The Motor Theory of Language Origin
The motor theory is about the process by which language emerged and developed and how it functions now in human speech. The concern is with both synchronic and the diachronic aspects of language, language evolving over time and differentiating over space. In English alone we have half a million words and endless syntatic complexities, as Chomsky has demonstrated. Add the multitude of other languages that exist and have existed and it is apparent that language is a massive multiply-faceted fact-in time and space. Where did all the complexity come from? Whence the power of words seen in so many diverse forms of human interaction? How does this thread of sound tie our minds together?
Two Sciences of Mind
The Reaching for Mind workshop, held at AISB 95, explicitly addressed itself to the current crisis in Cognitive Science. In particular, the issue of how this discipline can address consciousness was a leitmotiv in the workshop. The conclusion seems inescapable that there is a need for two sciences in this area. Cognitive Science can be freed to become a fully-fledged experimental epistemology by the creation of a science of consciousness also encompassing subjectivity. This exciting collection of papers indicates where both these sciences may be heading. (Series B)The programme committee of the workshop included: Mike Brady (Oxford); Daniel Dennett (Tufts); Jerry Feldman (Berkeley); John Macnamara (McGill) and Zenon Pylyshyn (Rutgers).
An Introduction to Neural Networks
An Introduction to Neural Networks falls into a new ecological niche for texts. Based on notes that have been class-tested for more than a decade, it is aimed at cognitive science and neuroscience students who need to understand brain function in terms of computational modeling, and at engineers who want to go beyond formal algorithms to applications and computing strategies. It is the only current text to approach networks from a broad neuroscience and cognitive science perspective, with an emphasis on the biology and psychology behind the assumptions of the models, as well as on what the models might be used for. It describes the mathematical and computational tools needed and provides an ...
The Foundations of Artificial Intelligence
This outstanding collection is designed to address the fundamental issues and principles underlying the task of Artificial Intelligence.
