
Boolean Functions and Computation Models by Peter Clote
The foundations of computational complexity theory go back to Alan Thring in the 1930s who was concerned with the existence of automatic procedures deciding the validity of mathematical statements. The first example of such a problem was the undecidability of the Halting Problem which is essentially the question of debugging a computer program: Will a given program eventu ally halt? Computational complexity today addresses the quantitative aspects of the solutions obtained: Is the problem to be solved tractable? But how does one measure the intractability of computation? Several ideas were proposed: A. Cobham [Cob65] raised the question of what is the right model in order to measure a "computation step" , M. Rabin [Rab60] proposed the introduction of axioms that a complexity measure should satisfy, and C. Shannon [Sha49] suggested the boolean circuit that computes a boolean function. However, an important question remains: What is the nature of computa tion? In 1957, John von Neumann [vN58] wrote in his notes for the Silliman Lectures concerning the nature of computation and the human brain that . . . logics and statistics should be primarily, although not exclusively, viewed as the basic tools of 'information theory'. Also, that body of experience which has grown up around the planning, evaluating, and coding of complicated logical and mathematical automata will be the focus of much of this information theory. The most typical, but not the only, such automata are, of course, the large electronic computing machines.-
Information and Randomness
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Universal Artificial Intelligence
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Interactive Theorem Proving and Program Development
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Graphs and Algorithms in Communication Networks
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Computable Analysis
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Models of Massive Parallelism
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Structural Complexity I
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The Resolution Calculus
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Models of Computation
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Dissemination of Information in Optical Networks:
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A Practical Theory of Reactive Systems
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Petri Net Synthesis
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Grammatical Picture Generation
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Temporal Logic and State Systems
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Algorithmics for Hard Problems
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Simulation Algorithms for Computational Systems Biology
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Public-Key Cryptography
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Communication Complexity and Parallel Computing
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Verification of Reactive Systems
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Theoretical Computer Science
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Introduction to Circuit Complexity
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Elements of Finite Model Theory
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The Parametric Lambda Calculus
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The Complexity Theory Companion
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Introduction to Process Algebra
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DNA Computing
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Abstract Computing Machines
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Design and Analysis of Randomized Algorithms
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Dissemination of Information in Communication Networks
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Formal Methods for Software Engineering
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Complexity Theory and Cryptology
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Parsing Schemata
From the reviews:
"The monograph gives the most recent and complete description of lower bounds for depth-restricted circuits, and propositional proof systems… the authors present a research monograph on important subjects and provide many very recent results. I would recommend it for any university library and also for researchers." (Ingo Wegener, The Computer Journal, Vol. 46 (3), 2003)
Evangelos Kranakis is Professor in the School of Computer Science at Carleton University, which he joined in 1991. He is currently CNS (Communication, Networks, and Security) Theme Leader in the MITACS NCE. He has published in the area of the analysis of algorithms, bioinformatics, communication and data (ad hoc and wireless) networks, computational and combinatorial geometry, distributed computing, network security.
| SKU | Unavailable |
| ISBN 13 | 9783642082177 |
| ISBN 10 | 3642082173 |
| Title | Boolean Functions and Computation Models |
| Author | Peter Clote |
| Series | Texts In Theoretical Computer Science An Eatcs Series |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer |
| Year published | 2010-10-21 |
| Number of pages | 602 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |































