Results for 'Physical System'

975 found
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  1. When physical systems realize functions.Matthias Scheutz - 1999 - Minds and Machines 9 (2):161-196.
    After briefly discussing the relevance of the notions computation and implementation for cognitive science, I summarize some of the problems that have been found in their most common interpretations. In particular, I argue that standard notions of computation together with a state-to-state correspondence view of implementation cannot overcome difficulties posed by Putnam's Realization Theorem and that, therefore, a different approach to implementation is required. The notion realization of a function, developed out of physical theories, is then introduced as a (...)
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  2.  20
    Coupled physical systems.David J. Foulis - 1989 - Foundations of Physics 19 (7):905-922.
    The purpose of this paper is to sketch an attack on the general problem of representing a composite physical system in terms of its constituent parts. For quantum-mechanical systems, this is traditionally accomplished by forming either direct sums or tensor products of the Hilbert spaces corresponding to the component systems. Here, a more general mathematical construction is given which includes the standard quantum-mechanical formalism as a special case.
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  3. Intentionality and physical systems.Margaret A. Boden - 1970 - Philosophy of Science 37 (2):200-214.
    Intentionality is characteristic of many psychological phenomena. It is commonly held by philosophers that intentionality cannot be ascribed to purely physical systems. This view does not merely deny that psychological language can be reduced to physiological language. It also claims that the appropriateness of some psychological explanation excludes the possibility of any underlying physiological or causal account adequate to explain intentional behavior. This is a thesis which I do not accept. I shall argue that physical systems of a (...)
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  4. Physical Systems: Conceptual Pathways Between Spacetime and Matter.Ori Belkind - 2004 - Dissertation, University of Washington
    This dissertation elucidates the notion of physical system which opens new conceptual pathways that connect the three realms of physical theory; spacetime, material bodies and their properties, and the laws of nature which govern their evolution. The notion of physical system includes two presuppositions regarding their structure. The first presupposition is a description of isolated systems and their evolution in time, which amounts to a Paradigm of Uniform Motion. The second presupposition describes how parts of (...)
     
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  5.  15
    Cyber-physical system.Francesco Garibaldo & Emilio Rebecchi - 2018 - AI and Society 33 (3):299-311.
  6.  35
    Can Cyber‐Physical Systems Reliably Collaborate within a Blockchain?Ben van Lier - 2017 - Metaphilosophy 48 (5):698-711.
    A blockchain can be considered a technological phenomenon that is made up of different interconnected and autonomous systems. Such systems are referred to here as cyber-physical systems: complex interconnections of cyber and physical components. When cyber-physical systems are interconnected, a new whole consisting of a system of systems is created by the autonomous systems and their intercommunication and interaction. In a blockchain, individual systems can independently make decisions on joint information transactions. The decision-making procedures needed for (...)
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  7. On transformations of physical systems.L. S. Mayants - 1976 - Foundations of Physics 6 (5):485-510.
    A universal, unified theory of transformations of physical systems based on the propositions of probabilistic physics is developed. This is applied to the treatment of decay processes and intramolecular rearrangements. Some general features of decay processes are elucidated. A critical analysis of the conventional quantum theories of decay and of Slater's quantum theory of intramolecular rearrangements is given. It is explained why, despite the incorrectness of the decay theories in principle, they can give correct estimations of decay rate constants. (...)
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  8. Structural analogies between physical systems.Peter Kroes - 1989 - British Journal for the Philosophy of Science 40 (2):145-154.
    Structural analogies between physical laws have received considerable attention from philosospheres of science. This paper, however, focusses on structural analogies between physical systems; this type of analogy plays an important role in the physical and technological sciences. A formal, set-theoretic description of structural analogies between physical systems is presented, and it is shown that a structural analogy between systems does not require a structural analogy with regard to the laws involved, nor conversely.
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  9.  29
    Artificial intelligence in cyber physical systems.Petar Radanliev, David De Roure, Max Van Kleek, Omar Santos & Uchenna Ani - forthcoming - AI and Society:1-14.
    This article conducts a literature review of current and future challenges in the use of artificial intelligence in cyber physical systems. The literature review is focused on identifying a conceptual framework for increasing resilience with AI through automation supporting both, a technical and human level. The methodology applied resembled a literature review and taxonomic analysis of complex internet of things interconnected and coupled cyber physical systems. There is an increased attention on propositions on models, infrastructures and frameworks of (...)
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  10.  15
    Fluctuations in physical systems.Hans L. Pécseli - 2000 - New York: Cambridge University Press.
    This book provides an introduction to applied statistical mechanics by considering physically realistic models. It provides a simple and accessible introduction to theories of thermal fluctuations and diffusion, and goes on to apply them in a variety of physical contexts. The first part of the book is devoted to processes in thermal equilibrium, and considers linear systems. Ideas central to the subject, such as the fluctuation dissipation theorem, Fokker-Planck equations and the Kramers-Kroenig relations are introduced during the course of (...)
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  11. Capturing the content of physics: Systems, observables, and experiments.Michael Kohlhase - unknown
    We present a content markup language for physics realized by extending the OMDoc format by an infrastructure for the principal concepts of physics: observables, physical systems, and experiments.
     
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  12. Physical systems, mathematical representation, and philosophical principles: the EPR paper and its influence.Guy Hetzroni - 2020 - Iyyun 68:428--439.
    The paper portrays the influence of major philosophical ideas on the 1935 debates on quantum theory that reached their climax in the paper by Einstein, Podosky and Rosen, and describes the relevance of these ideas to the vast impact of the paper. I claim that the focus on realism in many common descriptions of the debate misses important aspects both of Einstein's and Bohr's thinking. I suggest an alternative understanding of Einstein's criticism of quantum mechanics as a manifestation of the (...)
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  13. Computation in Physical Systems: A Normative Mapping Account.Paul Schweizer - 2019 - In Matteo Vincenzo D'Alfonso & Don Berkich (eds.), On the Cognitive, Ethical, and Scientific Dimensions of Artificial Intelligence. Springer Verlag. pp. 27-47.
    The relationship between abstract formal procedures and the activities of actual physical systems has proved to be surprisingly subtle and controversial, and there are a number of competing accounts of when a physical system can be properly said to implement a mathematical formalism and hence perform a computation. I defend an account wherein computational descriptions of physical systems are high-level normative interpretations motivated by our pragmatic concerns. Furthermore, the criteria of utility and success vary according to (...)
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  14.  13
    Qualitative reasoning about physical systems: An introduction.Daniel G. Bobrow - 1984 - Artificial Intelligence 24 (1-3):1-5.
  15.  96
    Big toy models: Representing physical systems as Chu spaces.Samson Abramsky - 2012 - Synthese 186 (3):697 - 718.
    We pursue a model-oriented rather than axiomatic approach to the foundations of Quantum Mechanics, with the idea that new models can often suggest new axioms. This approach has often been fruitful in Logic and Theoretical Computer Science. Rather than seeking to construct a simplified toy model, we aim for a 'big toy model', in which both quantum and classical systems can be faithfully represented—as well as, possibly, more exotic kinds of systems. To this end, we show how Chu spaces can (...)
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  16.  13
    Is the brain a physical system?'.N. S. Sutherland - 1970 - In Robert Borger (ed.), Explanation In The Behavioural Sciences. Cambridge University Press.
  17.  36
    The determination of the past and the future of a physical system in quantum mechanics.Paul Busch & Pekka J. Lahti - 1989 - Foundations of Physics 19 (6):633-678.
    The determination of the past and the future of a physical system are complementary aims of measurements. An optimal determination of the past of a system can be achieved by an informationally complete set of physical quantities. Such a set is always strongly noncommutative. An optimal determination of the future of a physical system can be obtained by a Boolean complete set of quantities. The two aims can be reconciled to a reasonable degree with (...)
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  18.  4
    Response of physical systems.John Dezendorf Trimmer - 1950 - New York,: Wiley.
  19. Some features of physical systems without time and dynamics (in English).Andrey Smirnov - manuscript
    Physical systems without time and dynamics have been considered. The principle of how to construct spacetime in a physical system without time and dynamics has been proposed. It has been found what can be objects in such a spacetime, and what can be an interaction between such objects. Within the framework of the considered class of systems, answers to the following problems of philosophy and physics have been found: the nature of consciousness and the connection of body (...)
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  20. Pancomputationalism and the Computational Description of Physical Systems.Neal G. Anderson & Gualtiero Piccinini - manuscript
    According to pancomputationalism, all physical systems – atoms, rocks, hurricanes, and toasters – perform computations. Pancomputationalism seems to be increasingly popular among some philosophers and physicists. In this paper, we interpret pancomputationalism in terms of computational descriptions of varying strength—computational interpretations of physical microstates and dynamics that vary in their restrictiveness. We distinguish several types of pancomputationalism and identify essential features of the computational descriptions required to support them. By tying various pancomputationalist theses directly to notions of what (...)
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  21.  39
    On the Separability of Physical Systems.Jon P. Jarrett - 2009 - In Wayne C. Myrvold & Joy Christian (eds.), Quantum Reality, Relativistic Causality, and Closing the Epistemic Circle. Springer. pp. 105--124.
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  22.  32
    Orchestrated Platform for Cyber-Physical Systems.Róbert Lovas, Attila Farkas, Attila Csaba Marosi, Sándor Ács, József Kovács, Ádám Szalóki & Botond Kádár - 2018 - Complexity 2018:1-16.
    One of the main driving forces in the era of cyber-physical systems is the introduction of massive sensor networks into manufacturing processes, connected cars, precision agriculture, and so on. Therefore, large amounts of sensor data have to be ingested at the server side in order to generate and make the “twin digital model” or virtual factory of the existing physical processes for predictive simulation and scheduling purposes usable. In this paper, we focus on our ultimate goal, a novel (...)
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  23.  16
    Qualitative reasoning about physical systems: A return to roots.Brian C. Williams & Johan de Kleer - 1991 - Artificial Intelligence 51 (1-3):1-9.
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  24.  38
    Beyond the limits of the brain as a physical system.V. K. Jirsa & J. A. S. Kelso - 2000 - Behavioral and Brain Sciences 23 (3):405-406.
    Nunez's description of the brain as a medium capable of wave propagation has provided some fundamental insights into its dynamics. This approach soon reaches the descriptive limits of the brain as a physical system, however. We point out some biological constraints which differentiate the brain from physical systems and we elaborate on its consequences for future research.
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  25.  49
    Naive Analysis of Food Web Dynamics: A Study of Causal Judgment About Complex Physical Systems.Peter A. White - 2000 - Cognitive Science 24 (4):605-650.
    When people make judgments about the effects of a perturbation on populations of species in a food web, their judgments exhibit the dissipation effect: a tendency to judge that effects of the perturbation weaken or dissipate as they spread out through the food web from the locus of the perturbation. In the present research evidence for two more phenomena is reported. Terminal locations are points in the food web with just a single connection to the rest of the web. Judged (...)
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  26.  74
    The Gibbs' paradox and the distinguishability of physical systems.Robert Rosen - 1964 - Philosophy of Science 31 (3):232-236.
    The Gibbs' Paradox is commonly explained by invoking some type of "principle of indistinguishability," which asserts that the interchange of identical particles is not a real physical event, i.e., is operationally meaningless. However, if this principle is to provide a satisfactory resolution of the Paradox, it must be operationally possible to determine whether, in fact, two given systems are identical or not. That is, the assertion that the Gibbs' Paradox is resolvable by an indistinguishability principle actually is an assertion (...)
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  27.  25
    Are there physical systems obeying the Maxwell-Boltzmann statistics?Peter Enders - 2009 - Apeiron: Studies in Infinite Nature 16 (4):555.
  28.  44
    Simulation Testing of Maritime Cyber-Physical Systems: Application of Model-View-ViewModel.Dong-Chul Lee, Kyung-Min Seo, Hee-Mun Park & Byeong Soo Kim - 2022 - Complexity 2022:1-14.
    From the perspective of the system of systems development, system-level functional testing is required for designing subsystems. This study utilizes modeling and simulation techniques to analyze the operational behaviors of the subsystems and confirm data communication between them. The targeted system in the study is a naval combat system, which is a typical type of defense cyber-physical system. Three types of models were designed for the simulation testing of the NCS: a combat-management model for (...)
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  29.  75
    The description of preparation and registration of physical systems and conventional probability theory.Holger Neumann - 1983 - Foundations of Physics 13 (8):761-778.
    The connection of the structure of statistical selection procedures with measure theory is investigated. The methods of measure theory are applied in order to analyze a mathematical description of preparation and registration of physical systems that is used by G. Ludwig for a foundation of quantum mechanics.
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  30. Computation in physical systems.Gualtiero Piccinini - 2010 - Stanford Encyclopedia of Philosophy.
  31. Two approaches to mathematical and physical systems.G. Schlesinger - 1959 - Philosophy of Science 26 (3):240-250.
    It is commonly the case that a problem concerning a mathematical or physical system can be solved in two quite different ways--by an internal or an external approach. For example, the area of a triangle can be found by integration or by showing it to be half that of a certain rectangle. In general, the first approach is, to analyse the given system into component parts, and the second approach is to deal with the system as (...)
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  32.  34
    What Does it Mean to Say a Physical System is Implements a Computation?Jac Ladyman - 2009 - Theoretical Computer Science 410 (4-5).
    When we are concerned with the logical form of a computation and its formal properties, then it can be theoretically described in terms of mathematical and logical functions and relations between abstract entities. However, actual computation is realised by some physical process, and the latter is of course subject to physical laws and the laws of thermodynamics in particular. An issue that has been the subject of much controversy is that of whether or not there are any systematic (...)
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  33.  59
    Realism about the complexity of physical systems without realist commitments to their scientific representations: How to get the advantages of theft without honest toil.Cyrille Imbert - unknown
    This paper shows that, under certain reasonable conditions, if the investigation of the behavior of a physical system is difficult, no scientific change can make it significantly easier. This impossibility result implies that complexity is then a necessary feature of models which truly represent the target system and of all models which are rich enough to catch its behavior and therefore that it is an inevitable element of any possible science in which this behavior is accounted for. (...)
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  34. Evidence for consciousness-related anomalies in random physical systems.Dean I. Radin & Roger D. Nelson - 1989 - Foundations of Physics 19 (12):1499-1514.
    Speculations about the role of consciousness in physical systems are frequently observed in the literature concerned with the interpretation of quantum mechanics. While only three experimental investigations can be found on this topic in physics journals, more than 800 relevant experiments have been reported in the literature of parapsychology. A well-defined body of empirical evidence from this domain was reviewed using meta-analytic techniques to assess methodological quality and overall effect size. Results showed effects conforming to chance expectation in control (...)
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  35.  26
    Economic language and economy change: with implications for cyber-physical systems.Alan Cottey - 2018 - AI and Society 33 (3):323-333.
    The implementation of cyber-physical and similar systems depends on prevailing social and economic conditions. It is here argued that, if the effect of these technologies is to be benign, the current neo-liberal economy must change to a radically more cooperative model. In this paper, economy change means a thorough change to a qualitatively different kind of economy. It is contrasted with economic change, which is the kind of minor change usually considered in mainstream discourse. The importance of language is (...)
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  36. The Mathematical Description of a Generic Physical System.Federico Zalamea - 2015 - Topoi 34 (2):339-348.
    When dealing with a certain class of physical systems, the mathematical characterization of a generic system aims to describe the phase portrait of all its possible states. Because they are defined only up to isomorphism, the mathematical objects involved are “schematic structures”. If one imposes the condition that these mathematical definitions completely capture the physical information of a given system, one is led to a strong requirement of individuation for physical states. However, we show there (...)
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  37.  22
    Representing scientific knowledge for quantitative analysis of physical systems.Soroush Mobasheri & Mehrnoush Shamsfard - 2020 - Applied ontology 15 (4):439-474.
    Representation of scientific knowledge in ontologies suffers so often from the lack of computational knowledge required for inference. This article aims to perform quantitative analysis on physical systems, that is, to answer questions about values of quantitative state variables of a physical system with known structure. For this objective, we incorporate procedural knowledge on two distinct levels. At the domain-specific level, we propose a representation model for scientific knowledge, i.e. variables, theories, and laws of nature. At the (...)
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  38. Fluctuation phenomena in physical systems: proceedings of the 6th sci. conference, September 23-27, 1991, Palanga, Lithuania.Villus Palenskis (ed.) - 1991 - Vilnius: Vilnius University Press.
  39. (1 other version)Simulations, models, and theories: Complex physical systems and their representations.Eric Winsberg - 2001 - Proceedings of the Philosophy of Science Association 2001 (3):S442-.
    Using an example of a computer simulation of the convective structure of a red giant star, this paper argues that simulation is a rich inferential process, and not simply a "number crunching" technique. The scientific practice of simulation, moreover, poses some interesting and challenging epistemological and methodological issues for the philosophy of science. I will also argue that these challenges would be best addressed by a philosophy of science that places less emphasis on the representational capacity of theories (and ascribes (...)
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  40.  17
    (1 other version)The Manipulability Account of Causation Applied to Typical Physical Systems.Louis Vervoort - 2014 - Lato Sensu: Revue de la Société de Philosophie des Sciences 1 (1):63-70.
    In the following we will apply the manipulability theory of causation of Woodward (2004) to physical systems, and show that, in the context of physical systems, the theory can be simplified. Elaborating on an argument by Cartwright, we will argue that the notions of ‘modularity’ and ‘intervention’ of the cited work should be adapted for typical physical systems, in order to take into account the coupling of system equations. We will show that this allows the reduction (...)
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  41.  23
    Philosophy and Modern Physics—Systems, Structures, Syntheses. [REVIEW]Veit Pittioni - 1984 - Philosophy and History 17 (2):122-124.
  42.  21
    Topology Control and Medium Access Control (MAC) Protocol for Wireless Sensor Networks (WSNs) in Cyber-Physical System.Ang Li, Chen Zhang, Baoyu Zheng & Lei Li - 2021 - Complexity 2021:1-12.
    The system reachability set is calculated by covering all possible behaviours of the system through a finite number of simulation steps to ensure that the system trajectory stays within a set safety region. In this paper, the theory of the game method is applied to the design of the controller, a very small controller is designed, and good control results are obtained by simulation. The system gradually shows a divergent trend and cannot achieve stable control. A (...)
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  43. Analogical transfer from interaction with a simulated physical system.Samuel B. Day & Robert L. Goldstone - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society. pp. 1406--1411.
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  44.  31
    Planning the Emergency Collision Avoidance Strategy Based on Personal Zones for Safe Human-Machine Interaction in Smart Cyber-Physical System.Thanh Phuong Nguyen, Hung Nguyen & Ha Quang Thinh Ngo - 2022 - Complexity 2022:1-21.
    Human contact is a key issue in social interactions for autonomous systems since robots are increasingly appearing everywhere, which has led to a higher risk of conflict. Particularly in the real world, collisions between humans and machines may result in catastrophic accidents or damaged goods. In this paper, a novel stop strategy related to autonomous systems is proposed. This control method can eliminate the vibrations produced by a system’s movement by analysing the poles and zeros in the model of (...)
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  45.  70
    Coalgebras, Chu Spaces, and Representations of Physical Systems.Samson Abramsky - 2013 - Journal of Philosophical Logic 42 (3):551-574.
    We investigate the use of coalgebra to represent quantum systems, thus providing a basis for the use of coalgebraic methods in quantum information and computation. Coalgebras allow the dynamics of repeated measurement to be captured, and provide mathematical tools such as final coalgebras, bisimulation and coalgebraic logic. However, the standard coalgebraic framework does not accommodate contravariance, and is too rigid to allow physical symmetries to be represented. We introduce a fibrational structure on coalgebras in which contravariance is represented by (...)
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  46. Canonical Proper Time Formulation for Physical Systems.James Lindesay & Tepper Gill - 2004 - Foundations of Physics 34 (1):169-182.
    The canonical proper time formulation of relativistic dynamics provides a framework from which one can describe the dynamics of classical and quantum systems using the clock of those very systems. The framework utilizes a canonical transformation on the time variable that is used to describe the dynamics, and does not transform other dynamical variables such as momenta or positions. This means that the time scales of the dynamics are described in terms of the natural local time coordinates, which is the (...)
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  47.  27
    The Formal Layer of {Brain and Mind} and Emerging Consciousness in Physical Systems.Jerzy Król & Andrew Schumann - forthcoming - Foundations of Science:1-30.
    We consider consciousness attributed to systems in space-time which can be purely physical without biological background and focus on the mathematical understanding of the phenomenon. It is shown that the set theory based on sets in the foundations of mathematics, when switched to set theory based on ZFC models, is a very promising mathematical tool in explaining the brain/mind complex and the emergence of consciousness in natural and artificial systems. We formalise consciousness-supporting systems in physical space-time, but this (...)
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  48. Learnability of state spaces of physical systems is undecidable.Petr Spelda & Vit Stritecky - 2024 - Journal of Computational Science 83 (December 2024):1-7.
    Despite an increasing role of machine learning in science, there is a lack of results on limits of empirical exploration aided by machine learning. In this paper, we construct one such limit by proving undecidability of learnability of state spaces of physical systems. We characterize state spaces as binary hypothesis classes of the computable Probably Approximately Correct learning framework. This leads to identifying the first limit for learnability of state spaces in the agnostic setting. Further, using the fact that (...)
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  49. Logico-physical paradoxes-the concept of the physical system.J. Perezlaraudogoitia - 1987 - Pensamiento 43 (170):197-205.
     
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  50. Limitations on our understanding of the behavior of simplified physical systems.Harvey Friedman - manuscript
    There are two kinds of such limiting results that must be carefully distinguished. Results of the first kind state the nonexistence of any algorithm for determining whether any statement among a given set of statements is true or false.
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