a brief history of automata theory?
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hi there,\n\ntheres loads of history about automata theory at this link:\n\nhttp://www.ma.hw.ac.uk/~markl/teaching/F14ZA1/Intro.pdf\n\nIts a pdf file so you'll need adobe arcrobat reader
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Automata Theory, concept that describes how machines mimic human behavior. The theory proposes that human physical functions and behavior can be simulated by a mechanical or computer-controlled device. Applications of automata theory have included imitating human comprehension and reasoning skills using computer programs, duplicating the function of muscles and tendons by hydraulic systems or electric motors, and reproducing sensory organs by electronic sensors such as smoke detectors.\n\nThe concept of automata, or manlike machines, has historically been associated with any self-operating machine, such as watches or clockwork songbirds driven by tiny springs and gears. But in the late 20th century, the science of robotics (the development of computer-controlled devices that move and manipulate objects) has replaced automata as it relates to replicating motion based on human anatomy (see Robot). Modern theories of automata currently focus on reproducing human thought patterns and problem-solving abilities using artificial intelligence and other advanced computer-science techniques.
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There are two seminar papers by Magnus Hestenes that should give you a good start:\n\n"A  Ternary Algebra with Applications to Matrices and Linear Transformation"\n\n"On a Ternary Algebra"
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An excellent introduction (and a broader perspective than Russell) to mathematical philosophy is "Philosophy of Mathematics : Selected Readings", eds. Paul Benacerraf and Hilary Putnam.  This will give you a good overview of the field as of the mid 80s.  After that you might find that your interest in mathematical philosophy tends more to one area than another, such as philosophy of logic (what does an "if..then..." statement really mean? [dare I say 'imply'???]), or foundations of mathematics (do we discover mathematics, or invent it?), or the nature of proof (what do we mean when we say that a theorem is proved? ). I would also recommend reading about the history of mathematics. I have no specific book recommendations here, but a quick Amazon search pops up "A History of Mathematics" by Isaac Asimov. Enjoy!
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The concept of a fuzzy automaton, as studied in the literature, is a direct generalization of the classical concept of a non-deterministic automaton. In this paper, we consider the question of whether there is a deterministic counterpart to the notion of a fuzzy automaton. We propose a definition of deterministic fuzzy automata and show that they are equally powerful as fuzzy automata. Compared to the classical notion of a deterministic automaton, the deterministic fuzzy automaton defined in our paper differs essentially only in that the final states form a fuzzy set. Moreover, we show that deterministic fuzzy automata are equally powerful as nested systems of deterministic automata.
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You can try http://www.vard.org/jour/02/39/3/sup/Herr.htm OR http://www.ai.mit.edu/projects/leglab/
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The Brown University pattern theory group is working with the belief that the world is complex, and to understand it, or a part of it, requires realistic representations of knowledge about it. We create such representations using a mathematical formalism, pattern theory, that is compositional in that the representations are built from simple primitives, combined into (often) complicated structures according to rules that can be deterministic or random. This is similar to the formation of molecules from atoms connected by various forms of bonds. \n\nPattern theory is transformational in that groups or semigroups of transformations operate on the primitives. These transformations express the invariances of the worlds we are looking at. \n\nPattern theory is variational in that it describes the variability of the phenomena observed in different applications in terms of probability measures that are used with a Bayesian interpretation. This leads to inferences that will be realized by computer algorithms. Our aim is to realize them through codes that can be executed on currently available hardware.
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CENTURIES OF PROGRAMMING
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single replacement, double replacement, decomposition, synthesis
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Take a look at this link.  It shows you how the alphabets developed.  Fascinating! http://www.wam.umd.edu/~rfradkin/alphapage.html
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you should visit some of the following links:\nhttp://www.turing.org.uk/turing/scrapbook/computer.html\nhttp://www.scl.ameslab.gov/ABC/Articles/Debate9-97.html\nhttp://en.wikipedia.org/wiki/Computer (this one is very good)\n\nhope that helps you.
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Here you go\nhttp://en.wikipedia.org/wiki/History_of_computing\n\n///
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Try the following link:\n\nhttp://www.cs.bham.ac.uk/~axk/EC_tut2.ppt
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I am giving you the pseudocode. You need to implement it yourself.\nAssume the notation [abc] means allowed permutations of string 'abc'\nHence  [abc] = a[bc] + [bc]a\nThe most trivial case is [a] = a\nThis logic lends itself to a recursive routine that should be implementable in each of the languages you mentioned.\nIncase you cant, tell me, I might look into it! :-)
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Artificial speech. Made by machine. Robot language
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Algorithms,\nFormal Methods,\nComputational Geometry,\nComplexity theory,\nTemporal Logic, and ...
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You should try reading "Flesh and Machines" by Rodney Brooks.  He does a nice cursory overview of the history of robotics and the implications on society of their existence.