Research Interests: Physics and Morphogenesis
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Research Interests: Engineering, Computer Science, Artificial Intelligence, Pragmatics, Computational Neuroscience, and 15 moreQuantum Mechanics, Quantum Computation, Information, Mathematical Sciences, Diffusion, Optical computing, Convolution, Quantum Computer, Phase, Coherent States, Hilbert Space, Quantum Potential, Information Sciences, Gabor Wavelets, and Neural nets
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Physical competence is acquired through animals' embodied interaction with their physical environments, and psychological competence is acquired through situated interaction with other agents. The acquired neural models essential to... more
Physical competence is acquired through animals' embodied interaction with their physical environments, and psychological competence is acquired through situated interaction with other agents. The acquired neural models essential to these competencies are implicit and permit more fluent and nuanced behavior than explicit models. The challenge is to understand how such models are acquired and used to control behavior.
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... PO Sangamner Sakhar Karkhana, Tal - Sangamner, Dist.- A. Nagar, Pin - 422 608, Phone - 9850163354. Navneet Kendra "Kshitij", Lane No. ... Saraswati Granth Bhandar Lane, Near Ratan... more
... PO Sangamner Sakhar Karkhana, Tal - Sangamner, Dist.- A. Nagar, Pin - 422 608, Phone - 9850163354. Navneet Kendra "Kshitij", Lane No. ... Saraswati Granth Bhandar Lane, Near Ratan Sweets. Pune -411002, Phone - (020) 24473410 Goel Book Agencies 31, Budhwar Peth. ...
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We present an analog implementation of a dynamical system for solving Boolean satisfiability, an NP-complete problem. Simulations of modest-sized hardware implementations in the presence of noise and integrator offset demonstrate that the... more
We present an analog implementation of a dynamical system for solving Boolean satisfiability, an NP-complete problem. Simulations of modest-sized hardware implementations in the presence of noise and integrator offset demonstrate that the algorithm is suitable for implementation in analog electronics.
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I take it that numbers are mathematical objects and that mathematical objects are abstract objects. This paper investigates Platonic theories of number with the tools of Edward Zalta’s typed object theory (TOT) developed with his... more
I take it that numbers are mathematical objects and that mathematical objects are abstract objects. This paper investigates Platonic theories of number with the tools of Edward Zalta’s typed object theory (TOT) developed with his hyperintensional modal logic. TOT captures a key insight of Platonic mathematical philosophy: whatever we can reason about consistently and objectively exists (in a Platonic or ideal sense). Therefore in this investigation I take as given the view that abstract (or ideal) objects exist in a Platonic sense and that Zalta’s TOT provides tools for investigating and describing them. In particular TOT provides a vehicle for understanding the structure of the universe of abstract objects.
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The soul must take the hint from the relics our scientists have so marvelously gathered out of the forgotten past, and from the hint develop a new living utterance. The spark is from dead wisdom, but the fire is life.
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This paper proposes a brain-inspired approach to quantum machine learning with the goal of circumventing many of the complications of other approaches. The fact that quantum processes are unitary presents both opportunities and... more
This paper proposes a brain-inspired approach to quantum machine learning with the goal of circumventing many of the complications of other approaches. The fact that quantum processes are unitary presents both opportunities and challenges. A principal opportunity is that a large number of computations can be carried out in parallel in linear superposition, that is, quantum parallelism. The challenge is that the process is linear, and most approaches to machine learning depend significantly on nonlinear processes. Fortunately, the situation is not hopeless, for we know that nonlinear processes can be embedded in unitary processes, as is familiar from the circuit model of quantum computation. This paper explores an approach to the quantum implementation of machine learning involving nonlinear functions operating on information represented topographically (by computational maps), as common in neural cortex.
Research Interests: Mathematics, Computer Science, Artificial Intelligence, Physics, Quantum Physics, and 4 moreI, P, B, and arXiv
In this paper we present a neurally plausible model of human infant reaching that is based on embodied artificial intelligence, which emphasizes the importance of the sensorimotor interaction of an agent and the world. This model... more
In this paper we present a neurally plausible model of human infant reaching that is based on embodied artificial intelligence, which emphasizes the importance of the sensorimotor interaction of an agent and the world. This model encompasses both learning sensorimotor correlations through motor babbling and also arm motion planning using spreading activation. This model is organized in three layers of neural maps with a parallel structure representing the same sensorimotor space. The motor babbling period shapes the structure of the three neural maps as well as the connections within and between them. We describe an implementation of this model and an investigation of this implementation using a simple reaching task on a humanoid robot. The robot has learned successfully to plan reaching motions from a test set with high accuracy and smoothness.
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Humans are becoming increasingly dependent on the ‘say-so' of machines, such as computers, smartphones, and robots. In epistemology, knowledge based on what you have been told is called ‘testimony' and being able to give and... more
Humans are becoming increasingly dependent on the ‘say-so' of machines, such as computers, smartphones, and robots. In epistemology, knowledge based on what you have been told is called ‘testimony' and being able to give and receive testimony is a prerequisite for engaging in many social roles. Should robots and other autonomous intelligent machines be considered epistemic testifiers akin to those of humans? This chapter attempts to answer this question as well as explore the implications of robot testimony for the criminal justice system. Few are in agreement as to the ‘types' of agents that can provide testimony. The chapter surveys three well-known approaches and shows that on two of these approaches being able to provide testimony is bound up with the possession of intentional mental states. Through a discussion of computational and folk-psychological approaches to intentionality, it is argued that a good case can be made for robots fulfilling all three definitions.
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This article is published under the terms of Creative Commons Licence BY 4.0 Attribution —You must give appropriate credit, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the... more
This article is published under the terms of Creative Commons Licence BY 4.0 Attribution —You must give appropriate credit, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. No additional restrictions —You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
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This paper proposes a brain-inspired approach to quantum machine learning with the goal of circumventing many of the complications of other approaches. The fact that quantum processes are unitary presents both opportunities and... more
This paper proposes a brain-inspired approach to quantum machine learning with the goal of circumventing many of the complications of other approaches. The fact that quantum processes are unitary presents both opportunities and challenges. A principal opportunity is that a large number of computations can be carried out in parallel in linear superposition, that is, quantum parallelism. The challenge is that the process is linear, and most approaches to machine learning depend significantly on nonlinear processes. Fortunately, the situation is not hopeless, for we know that nonlinear processes can be embedded in unitary processes, as is familiar from the circuit model of quantum computation. This paper explores an approach to the quantum implementation of machine learning involving nonlinear functions operating on information represented topographically (by computational maps), as common in neural cortex.
Research Interests: Mathematics, Computer Science, Artificial Intelligence, Physics, Quantum Physics, and 4 moreI, P, B, and arXiv
In this paper we present a neurally plausible model of human infant reaching that is based on embodied artificial intelligence, which emphasizes the importance of the sensorimotor interaction of an agent and the world. This model... more
In this paper we present a neurally plausible model of human infant reaching that is based on embodied artificial intelligence, which emphasizes the importance of the sensorimotor interaction of an agent and the world. This model encompasses both learning sensorimotor correlations through motor babbling and also arm motion planning using spreading activation. This model is organized in three layers of neural maps with a parallel structure representing the same sensorimotor space. The motor babbling period shapes the structure of the three neural maps as well as the connections within and between them. We describe an implementation of this model and an investigation of this implementation using a simple reaching task on a humanoid robot. The robot has learned successfully to plan reaching motions from a test set with high accuracy and smoothness.
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Humans are becoming increasingly dependent on the ‘say-so' of machines, such as computers, smartphones, and robots. In epistemology, knowledge based on what you have been told is called ‘testimony' and being able to give and... more
Humans are becoming increasingly dependent on the ‘say-so' of machines, such as computers, smartphones, and robots. In epistemology, knowledge based on what you have been told is called ‘testimony' and being able to give and receive testimony is a prerequisite for engaging in many social roles. Should robots and other autonomous intelligent machines be considered epistemic testifiers akin to those of humans? This chapter attempts to answer this question as well as explore the implications of robot testimony for the criminal justice system. Few are in agreement as to the ‘types' of agents that can provide testimony. The chapter surveys three well-known approaches and shows that on two of these approaches being able to provide testimony is bound up with the possession of intentional mental states. Through a discussion of computational and folk-psychological approaches to intentionality, it is argued that a good case can be made for robots fulfilling all three definitions.
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SKI-combinator trees are a simple model of computation, whichare computationally complete (in a Turing sense), but are suggestiveof basic biochemical processes and can be used as a vehicle for understandingprocesses of biological (and... more
SKI-combinator trees are a simple model of computation, whichare computationally complete (in a Turing sense), but are suggestiveof basic biochemical processes and can be used as a vehicle for understandingprocesses of biological (and prebiotic) self-organization. After a brief overview of SKI-combinator trees, we describe the resultsof a series of preliminary experiments exploring the statisticalproperties of populations of random SKI-combinator trees. We showthat in such populations a significant fraction of the trees will ...
Goethe's Faust strikes resonant chords in any thoughtful modern person, but for those of us employed in Faustian endeavors, it is difficult not to take the drama personally. Therefore, at the risk of adding to the numerous subjective... more
Goethe's Faust strikes resonant chords in any thoughtful modern person, but for those of us employed in Faustian endeavors, it is difficult not to take the drama personally. Therefore, at the risk of adding to the numerous subjective interpretations of Faust, in this chapter I will explore some of its intimations and implications for several Faustian technologies with which I am involved: artificial intelligence, autonomous robotics, artificial life, and artificial morphogenesis. Faust has relevance to science and technology beyond these specific ...
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This report describes relational programming, a style of programming in which entire relations are manipulated as data, and in which programs are represented as relations. The use of relational operators on both data and programs is... more
This report describes relational programming, a style of programming in which entire relations are manipulated as data, and in which programs are represented as relations. The use of relational operators on both data and programs is illustrated, and implementation issues are discussed ...
Molecular combinatory computing makes use of a small set of chemical substitution reactions that together have the ability to implement arbitrary computations. Therefore it provides a means of" programming" the synthesis of... more
Molecular combinatory computing makes use of a small set of chemical substitution reactions that together have the ability to implement arbitrary computations. Therefore it provides a means of" programming" the synthesis of nanostructures and of controlling their behavior by programmatic means. We illustrate the approach by several simulated nano-assembly applications, and discuss a possible molecular implementation in terms of covalently structured molecular building blocks connected by hydrogen bonds. Key words: ...
Based on results from evolutionary psychology, we discuss important functions that can be served by consciousness in autonomous robots. These include deliberately controlled action, conscious awareness, self-awareness, metacognition, and... more
Based on results from evolutionary psychology, we discuss important functions that can be served by consciousness in autonomous robots. These include deliberately controlled action, conscious awareness, self-awareness, metacognition, and ego consciousness. We distinguish intrinsic intentionality from consciousness, but argue it is also important to understanding robot cognition. Finally, we explore the Hard Problem for robots (i.e., whether they can experience subjective awareness) from the perspective of the theory of protophenomena.En s’appuyant sur les résultats de la psychologie évolutionniste, nous examinons les différentes fonctions importantes que puisse remplir la conscience dans les robots autonomes : action contrôlée, prise de conscience, conscience de soi, métacognition, conscience du moi. Nous distinguons l’intentionnalité intrinsèque de la conscience, mais soutenons également l’importance de la compréhension de la cognition robotique. Enfin, nous étudions le « Hard Prob...
A complete understanding of communication, language, intention-ality and related mental phenomena will require a theory integrating mechanistic explanations with ethological phenomena. For the foresee-able future, the complexities of... more
A complete understanding of communication, language, intention-ality and related mental phenomena will require a theory integrating mechanistic explanations with ethological phenomena. For the foresee-able future, the complexities of natural life in its natural ...