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457
Facing up to the problem of consciousness
 Journal of Consciousness Studies
, 1995
"... Consciousness poses the most baffling problems in the science of the mind. There is nothing that we know more intimately than conscious experience, but there is nothing that is harder to explain. All sorts of mental phenomena have yielded to scientific investigation in recent years, but consciousnes ..."
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Cited by 240 (2 self)
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Consciousness poses the most baffling problems in the science of the mind. There is nothing that we know more intimately than conscious experience, but there is nothing that is harder to explain. All sorts of mental phenomena have yielded to scientific investigation in recent years, but consciousness has stubbornly resisted. Many have tried to explain it, but the
QuantumInspired Computing
, 1995
"... The paper identifies and demonstrates the feasibility of a novel computational paradigm which is inspired by the principles of quantum mechanics and quantum computing. A brief history of quantum computing and basic exposition of quantum mechanics are provided, followed by a detailed description of S ..."
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Cited by 57 (9 self)
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The paper identifies and demonstrates the feasibility of a novel computational paradigm which is inspired by the principles of quantum mechanics and quantum computing. A brief history of quantum computing and basic exposition of quantum mechanics are provided, followed by a detailed description of Shor's quantum `algorithm' for factoring very large numbers. An extension to Shor's method is described, and this leads to two further applications of `quantuminspired' methods: sorting, and the 15puzzle. In all cases, quantuminspired methods require the use of `classical' methods to determine whether the candidate answers provided by the quantuminspired methods are correct. Finally, some basic methodological principles and guidelines are provided for quantuminspired computing. The aim is not to provide a formal exposition of quantuminspired computing but to identify its novelty and potential use in tackling NPhard problems. 1 Introduction It has been estimated that every two years ...
Quantum computation in brain microtubules? The PenroseHameroff 'Orch OR' model of consciousness
, 1998
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QuantumInspired Genetic Algorithms
 In Proceedings of the 1996 IEE InternationalConference on Evolutionary Computation(ICEC96
, 1995
"... A novel evolutionary computing method  quantum inspired genetic algorithms  is introduced, where concepts and principles of quantum mechanics are used to inform and inspire more efficient evolutionary computing methods. The basic terminology of quantum mechanics is introduced before a comparis ..."
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Cited by 47 (2 self)
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A novel evolutionary computing method  quantum inspired genetic algorithms  is introduced, where concepts and principles of quantum mechanics are used to inform and inspire more efficient evolutionary computing methods. The basic terminology of quantum mechanics is introduced before a comparison is made between a classical genetic algorithm and a quantum inspired method for the travelling salesperson problem. It is informally shown that the quantum inspired genetic algorithm performs better than the classical counterpart for a small domain. The paper concludes with some speculative comments concerning the relationship between quantum inspired genetic algorithms and various complexity classes. This paper will be presented at the IEEE International Conference on Evolutionary Computation (ICEC96) to be held at Nogaya, Japan, in May 1996. I. Introduction Quantuminspired computing [7] is characterised by: 1. the use of a `quantuminspired' computational method which is inspired by...
The Power of Vacillation in Language Learning
, 1992
"... Some extensions are considered of Gold's influential model of language learning by machine from positive data. Studied are criteria of successful learning featuring convergence in the limit to vacillation between several alternative correct grammars. The main theorem of this paper is that there ..."
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Cited by 45 (13 self)
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Some extensions are considered of Gold's influential model of language learning by machine from positive data. Studied are criteria of successful learning featuring convergence in the limit to vacillation between several alternative correct grammars. The main theorem of this paper is that there are classes of languages that can be learned if convergence in the limit to up to (n+1) exactly correct grammars is allowed but which cannot be learned if convergence in the limit is to no more than n grammars, where the no more than n grammars can each make finitely many mistakes. This contrasts sharply with results of Barzdin and Podnieks and, later, Case and Smith, for learnability from both positive and negative data. A subset principle from a 1980 paper of Angluin is extended to the vacillatory and other criteria of this paper. This principle, provides a necessary condition for circumventing overgeneralization in learning from positive data. It is applied to prove another theorem to the eff...
Learning, Action, and Consciousness: A Hybrid Approach toward Modeling Consciousness
, 1996
"... This paper is an attempt at understanding the issue of consciousness through investigating its functional role, especially in learning, and through devising hybrid neural network models that (in a qualitative manner) approximate characteristics of human consciousness. In so doing, the paper examines ..."
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Cited by 41 (19 self)
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This paper is an attempt at understanding the issue of consciousness through investigating its functional role, especially in learning, and through devising hybrid neural network models that (in a qualitative manner) approximate characteristics of human consciousness. In so doing, the paper examines explicit and implicit learning in a variety of psychological experiments and delineates the conscious/unconscious distinction in terms of the two types of learning and their respective products. The distinctions are captured in a twolevel actionbased model Clarion. Some fundamental theoretical issues are also clarified with the help of the model. Comparisons with existing models of consciousness are made to accentuate the present approach. KEYWORDS: Neural networks, hybrid systems, consciousness, implicit learning, reinforcement learning, procedural knowledge, rule extraction, dual representation 1 INTRODUCTION 3 1 Introduction Amidst the widespread enthusiasm of recent years concerning...
On schizophrenic experiences of the neutron or why we should believe in the manyworlds interpretation of quantum theory
, 1998
"... The truth about physical objects must be strange. It may be unattainable, but if any philosopher believes that he has attained it, the fact that what he offers as the truth is strange ought not to be made a ground of objection to his opinion. – Bertrand Russell 1. ..."
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Cited by 40 (13 self)
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The truth about physical objects must be strange. It may be unattainable, but if any philosopher believes that he has attained it, the fact that what he offers as the truth is strange ought not to be made a ground of objection to his opinion. – Bertrand Russell 1.
Universal Concept of Complexity by the Dynamic Redundance Paradigm: Causal Randomness, Complete Wave Mechanics, and the Ultimate Unification of Knowledge (Naukova
, 1997
"... Abstract. This is a brief, nontechnical presentation of the main results of a book with the same title in which a new, rigorously defined concept of dynamic complexity is introduced and it is shown that it gives the complete and absolutely universal description of both representative particular cas ..."
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Cited by 38 (23 self)
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Abstract. This is a brief, nontechnical presentation of the main results of a book with the same title in which a new, rigorously defined concept of dynamic complexity is introduced and it is shown that it gives the complete and absolutely universal description of both representative particular cases of complex dynamics and arbitrary dynamical system behaviour. This crucial extension with respect to the existing concepts is achieved due to a new, universally modified form of arbitrary dynamic equations, avoiding the usual limitations of the essentially perturbative, onedimensional approach of the canonical, linear (unitary) science (including any superficially defined, integrable 'nonlinearities'). This modified description shows that an equation describing any real behaviour with more than one effective dimension possesses many solutions, each of them being complete in the usual sense and approximately equivalent to some ordinary, 'exact ' solution of the linear science. Therefore these elementary complete solutions, called realisations, are incompatible among them and, being equivalent and thus equally probable, permanently and spontaneously replace one another. This discovery, referred to as the dynamic redundance paradigm, provides a qualitatively new understanding of the notion of existence itself and universally explains all the known patterns of dynamic behaviour within the ensuing single concept. It provides, in particular, the causal, dynamically based and consistent definition of randomness and probability (or fundamental
The Singularity: A Philosophical Analysis
"... What happens when machines become more intelligent than humans? One view is that this event will be followed by an explosion to evergreater levels of intelligence, as each generation of machines creates more intelligent machines in turn. This intelligence explosion is now often known as the “singul ..."
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Cited by 38 (1 self)
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What happens when machines become more intelligent than humans? One view is that this event will be followed by an explosion to evergreater levels of intelligence, as each generation of machines creates more intelligent machines in turn. This intelligence explosion is now often known as the “singularity”.