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Sökning: WFRF:(Burgin Mark)

  • Resultat 1-10 av 29
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1.
  • Adamatzky, Andrew, et al. (författare)
  • East-West paths to unconventional computing
  • 2017
  • Ingår i: Progress in Biophysics and Molecular Biology. - : Elsevier BV. - 0079-6107 .- 1873-1732. ; 131, s. 469-493
  • Forskningsöversikt (refereegranskat)abstract
    • Unconventional computing is about breaking boundaries in thinking, acting and computing. Typical topics of this non-typical field include, but are not limited to physics of computation, non-classical logics, new complexity measures, novel hardware, mechanical, chemical and quantum computing. Unconventional computing encourages a new style of thinking while practical applications are obtained from uncovering and exploiting principles and mechanisms of information processing in and functional properties of, physical, chemical and living systems; in particular, efficient algorithms are developed, (almost) optimal architectures are designed and working prototypes of future computing devices are manufactured. This article includes idiosyncratic accounts of ‘unconventional computing’ scientists reflecting on their personal experiences, what attracted them to the field, their inspirations and discoveries.
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2.
  • Burgin, Mark, et al. (författare)
  • A Multiscale Taxonomy of Information in the World
  • 2020
  • Ingår i: Theoretical Information Studies. - Singapore : World Scientific. - 9813277483 ; , s. 3-27
  • Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
    • We construct a multiscale, multiaspect taxonomy of information. This taxonomy is a unified system of aspect taxonomies of information, the majority of which are developed by the authors while others are suggested by other researchers. Each aspect taxonomy reflects some aspect of information representing modes of this aspect. In such a way, information is represented in a multidimensional parametric space. This representation has several goals: to support conceptual analysis of information, allow better utilization of information in the domain of cognition, enable improvement of efficiency of information processing systems, such as search engines, and provide better methodological approaches to information.
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3.
  • Burgin, Mark, 1940, et al. (författare)
  • A Multiscale Taxonomy of Information in the World
  • 2020
  • Ingår i: THEORETICAL INFORMATION STUDIES: Information in the world. - : WORLD SCIENTIFIC. - 9789813277496 ; , s. 3-27
  • Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
    • We construct a multiscale multi-aspect taxonomy of information. This taxonomy is a unified system of aspect taxonomies of information, the majority of which are developed by the authors while others are suggested by other researchers. Each aspect taxonomy reflects some aspect of information representing modes of this aspect. In such a way, information is represented in a multidimensional parametric space. This representation has several goals: to support conceptual analysis of information, allow better utilization of information in the domain of cognition, to enable improvement of efficiency of information processing systems, such as search engines, and to provide better methodological approaches to information.
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4.
  • Burgin, Mark, et al. (författare)
  • A Systematic Approach to Artificial Agents
  • 2009
  • Rapport (övrigt vetenskapligt/konstnärligt)abstract
    • Agents and agent systems are becoming more and more important in the development of a variety of fields such as ubiquitous computing, ambient intelligence, autonomous computing, intelligent systems and intelligent robotics. The need for improvement of our basic knowledge on agents is very essential. We take a systematic approach and present extended classification of artificial agents which can be useful for understanding of what artificial agents are and what they can be in the future. The aim of this classification is to give us insights in what kind of agents can be created and what type of problems demand a specific kind of agents for their solution.
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5.
  • Burgin, Mark, et al. (författare)
  • A Taxonomy of Computation and Information Architecture : ECSA 2015 ASDS Workshop. In Proceedings of the 2015 European Conference on Software Architecture Workshops (ECSAW '15). ACM, New York, NY, USA.
  • 2015
  • Ingår i: 9th European Conference on Software Architecture Workshops ECSAW 2015. - New York, NY, USA : ACM. - 9781450333931
  • Konferensbidrag (refereegranskat)abstract
    • This paper presents taxonomy of models of computation. It includes Existential (Physical, Abstract and Cognitive), Organizational, Temporal, Representational, Domain/Data, Operational, Process-oriented and Level-based taxonomy. It is connected to more general notion of natural computation, intrinsic to physical systems, and particularly to cognitive computation in living organisms and artificial cognitive systems. Computation is often understood through the Turing machine model, in the fields of computability, computational complexity and even as a basis for the present-day computer hardware and software architectures. However, several aspects of computation, even those existing in today's applications, are left outside in this model, thus adequate models of real-time, distributed, self-organized, resource-aware, adaptive, learning computation systems are currently being developed.
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6.
  • Burgin, Mark, et al. (författare)
  • A Taxonomy of Computation and Information Architecture
  • 2015
  • Ingår i: In Proceedings of the 2015 European Conference on Software Architecture Workshops (ECSAW '15). ACM, New York, NY, USA.. - New York, NY, USA : ACM. - 9781450333931 ; 07-11-September-2015
  • Konferensbidrag (refereegranskat)abstract
    • Nowadays computation is typically understood through the Turing machine model, in the fields of computability, computational complexity and even as a basis for present-day computer hardware and software architectures. Those are technologies designed in the first place to process data. Being description of data manipulation, Turing model of computation presents only one aspect of computation in the real world – an abstraction of the execution of an algorithm. However, several other possible aspects of computation, even those existing in today’s applications, are left outside, thus adequate models in distributed, self-organized, resource-aware, adaptive, learning computation systems are needed. This paper presents taxonomy of existing models of computation. It is connected to more general notion of natural computation, intrinsic to physical systems, and particularly cognitive computation in cognitive systems. We see Turing model of computation as a basic mechanism which can be used to build more complex computational architectures, that in combination with interaction with the environment (learning) give advanced information-processing behaviors in cognitive systems.
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7.
  • Burgin, Mark, et al. (författare)
  • Computation as Information Transformation
  • 2015
  • Ingår i: IS4IS Summit Vienna 2015.
  • Konferensbidrag (refereegranskat)abstract
    • Future progress of new information processing devices capable of dealing with problems such as big data, Internet of things, semantic web, cognitive robotics, neuroinformatics and similar, depends on the adequate and efficient models of computation. We argue that defining computation as information transformation, and given that there is no information without representation, the dynamics of information on the fundamental level is physical/ intrinsic/ natural computation (Dodig-Crnkovic, 2011) (Dodig-Crnkovic, 2014). Intrinsic natural computation occurs on variety of levels of physical processes, such as the levels of computation of living organisms as well as designed computational devices. The present article is building on our typology of models of computation as information processing (Burgin & Dodig-Crnkovic, 2013). It is indicating future paths for the advancement of the field, expected both as a result of the development of new computational models and learning from nature how to better compute using information transformation mechanisms of intrinsic computation.
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8.
  • Burgin, Mark, et al. (författare)
  • From the Closed Classical Algorithmic Universe to an Open World of Algorithmic Constellations
  • 2013
  • Ingår i: COMPUTING NATURE, Volume 7 of the series Studies in Applied Philosophy, Epistemology and Rational Ethics. - Berlin, Heidelberg : Springer. - 9783642372247 ; , s. 241-253
  • Tidskriftsartikel (refereegranskat)abstract
    • In this paper we analyze methodological and philosophical implications of algorithmic aspects of unconventional computation. At first, we describe how the classical algorithmic universe developed and analyze why it became closed in the conventional approach to computation. Then we explain how new models of algorithms turned the classical closed algorithmic universe into the open world of algorithmic constellations, allowing higher flexibility and expressive power, supporting constructivism and creativity in mathematical modeling. As Gödel’s undecidability theorems demonstrate, the closed algorithmic universe restricts essential forms of mathematical cognition. In contrast, the open algorithmic universe, and even more the open world of algorithmic constellations, remove such restrictions and enable new, richer understanding of computation.
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9.
  • Burgin, Mark, et al. (författare)
  • From the Closed Universe to an Open World
  • 2012
  • Ingår i: AISB/IACAP World Congress 2012. - : The Society for the Study of Artificial Intelligence and Simulation of Behaviour. - 9781908187246 ; , s. 102-106
  • Konferensbidrag (refereegranskat)abstract
    • There are different aspects and spheres of unconventional computations. In this paper, we analyze philosophical and methodological implications of algorithmic issues of unconventional computations. At first, we describe how the algorithmic universe was developed and analyze why it became closed in the conventional approach to computation. Then we explain how the new models of algorithms changed the algorithmic universe, making it open and allowing higher flexibility and superior creativity. As Gödel undecidability theorems imply, the closed algorithmic universe restricts essential forms of human cognition, while the open algorithmic universe eliminates such restrictions.
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  • Resultat 1-10 av 29

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