290,517 research outputs found
The emergence of the physical world from information processing
This paper links the conjecture that the physical world is a virtual reality
to the findings of modern physics. What is usually the subject of science
fiction is here proposed as a scientific theory open to empirical evaluation.
We know from physics how the world behaves, and from computing how information
behaves, so whether the physical world arises from ongoing information
processing is a question science can evaluate. A prima facie case for the
virtual reality conjecture is presented. If a photon is a pixel on a
multi-dimensional grid that gives rise to space, the speed of light could
reflect its refresh rate. If mass, charge and energy all arise from processing,
the many conservation laws of physics could reduce to a single law of dynamic
information conservation. If the universe is a virtual reality, then its big
bang creation could be simply when the system was booted up. Deriving core
physics from information processing could reconcile relativity and quantum
theory, with the former how processing creates the space-time operating system
and the latter how it creates energy and matter applications
Consciousness as a State of Matter
We examine the hypothesis that consciousness can be understood as a state of
matter, "perceptronium", with distinctive information processing abilities. We
explore five basic principles that may distinguish conscious matter from other
physical systems such as solids, liquids and gases: the information,
integration, independence, dynamics and utility principles. If such principles
can identify conscious entities, then they can help solve the quantum
factorization problem: why do conscious observers like us perceive the
particular Hilbert space factorization corresponding to classical space (rather
than Fourier space, say), and more generally, why do we perceive the world
around us as a dynamic hierarchy of objects that are strongly integrated and
relatively independent? Tensor factorization of matrices is found to play a
central role, and our technical results include a theorem about Hamiltonian
separability (defined using Hilbert-Schmidt superoperators) being maximized in
the energy eigenbasis. Our approach generalizes Giulio Tononi's integrated
information framework for neural-network-based consciousness to arbitrary
quantum systems, and we find interesting links to error-correcting codes,
condensed matter criticality, and the Quantum Darwinism program, as well as an
interesting connection between the emergence of consciousness and the emergence
of time.Comment: Replaced to match accepted CSF version; discussion improved, typos
corrected. 36 pages, 15 fig
The Physics of Open Ended Evolution
abstract: What makes living systems different than non-living ones? Unfortunately this question is impossible to answer, at least currently. Instead, we must face computationally tangible questions based on our current understanding of physics, computation, information, and biology. Yet we have few insights into how living systems might quantifiably differ from their non-living counterparts, as in a mathematical foundation to explain away our observations of biological evolution, emergence, innovation, and organization. The development of a theory of living systems, if at all possible, demands a mathematical understanding of how data generated by complex biological systems changes over time. In addition, this theory ought to be broad enough as to not be constrained to an Earth-based biochemistry. In this dissertation, the philosophy of studying living systems from the perspective of traditional physics is first explored as a motivating discussion for subsequent research. Traditionally, we have often thought of the physical world from a bottom-up approach: things happening on a smaller scale aggregate into things happening on a larger scale. In addition, the laws of physics are generally considered static over time. Research suggests that biological evolution may follow dynamic laws that (at least in part) change as a function of the state of the system. Of the three featured research projects, cellular automata (CA) are used as a model to study certain aspects of living systems in two of them. These aspects include self-reference, open-ended evolution, local physical universality, subjectivity, and information processing. Open-ended evolution and local physical universality are attributed to the vast amount of innovation observed throughout biological evolution. Biological systems may distinguish themselves in terms of information processing and storage, not outside the theory of computation. The final research project concretely explores real-world phenomenon by means of mapping dominance hierarchies in the evolution of video game strategies. Though the main question of how life differs from non-life remains unanswered, the mechanisms behind open-ended evolution and physical universality are revealed.Dissertation/ThesisDoctoral Dissertation Physics 201
Management of e-Resources in R amp; D Centers: A Case Study of the Information Center at NAL13;
The developments in information technology and their applications to library and information services have given new dimension to the entire spectrum of information management. The information generated is usually stored in four physical media: paper, film, optical, and magnetic disks. The e-document be it a book, journal, technical report, conference proceedings is portable; has random access to its contents; and the document can also be a multimedia object, in that it may contain not only text, but also graphics, drawings, photographs or video. Now we have the emergence of publications over the electronic networks and the activity took off in a big way following the invention of the World Wide Web. The Open Access movement is becoming the order of the day. More than 3000 journals are free on net for anybody to access. A number of Institutional repositories and e-Prints archives have thrown challenge to the publishing industry. Consortium approach through different pricing, management and licensing models is enabling the libraries to provide access to thousands of e- journals, e-books and other kinds of e-documents. The Information center at NAL with its state-of-the-art library has progressed a good deal in this direction by acquiring different kind of documents especially e-form, cataloguing amp; processing them appropriately, storing and giving access to its patrons not only in library premises, but on to the desk tops spread in three different campuses through laboratory LAN and also extending selected services through Internet for the benefit of any body from any part of the world. 13; Created and maintained by ICAST the Portal x2018;AeroInfox2019; (www.aeroinfo.org.in) serves as one window information search facility for Web sources in aerospace science and technology. This virtual library facilitates multiple approach to information seekers as the web sources are indexed and organised using different schemes of classification including NASA subject categories. Care is taken to cover Indian aerospace sources exhaustively. The ICAST site (www.icast.org.in), apart from giving detailed information about library sources including books, journals, E-journals, databases and technical reports makes available different search tools for its users. Other details like working hours, library rules, staff details, contact persons, etc are provided. One can submit an online query and suggest documents for acquisition using online forms provided. The Library Database (OPAC) is probably is single largest in the country with more than 3.25 lakh bibliographic records of books, technical reports, patents, standards, journals, etc. ICAST users can search International databases like Aerospace Database, NTIS, J-Gate, Medline, etc through campus LAN. Users can access more than 2500 full text journals covering titles published by Elsevier (ScienceDirect), ASME, AIAA, Springer, John Wiley, OUP, CUP, AMS, World Scientific, few Annual Series, etc. Created by ICAST an e-journals gateway with browse and search (alphabetical and subject wise) facility for titles provides access to more than 700 journals available free on the net. The Centre provides a number of web/e-mail based innovative information services including Journal Contents Service, News Clipping Service, Monthly Documents Additions Lists covering both Books and Technical Reports, Web Alert Service and Union Catalogue of Journals -CSIR and Aerospace Libraries, etc
Special section Industry 4.0: Challenges for the future in manufacturing
International audienceThe sensing enterprise is a digital business innovation concept making Cyber-Physical Systems, service-oriented architectures and advanced human-computer interactions converge, supporting a more agile, flexible, and proactive management of unexpected events in today’s global value networks. In essence, it concerns the adoption of future Internet technologies in virtual enterprises. Translating this concept to a general approach to smart systems (smart manufacturing, smart cities, smart logistics, etc.), requires new capabilities by next-generation information systems to perform sensing, modelling, and interpretation of “any” signal from the real world, thus providing the systems with higher flexibility and possibilities for reconfiguration (Panetto et al. 2016). Intuitively, a sensing system requires resources and machineries to be constantly monitored, configured, and easily controlled by human operators. All these functions, and much more indeed, are now implemented by the so-called (Industrial) Internet of Things or Cyber-Physical Systems. With the advent of the new cyber-physical system design paradigm, the number and diversity of systems that need to work together in the future enterprises have significantly increased (Weichhart et al. 2016). This trend highlights the need to shift from the classic central control of systems, towards systems interoperability as a capability to control, sense, and perceive distributed and heterogeneous systems and their environments, as well as to purposefully and socially act upon their perceptions. Such a shift could have important consequences on the future architecture design of the control of these systems. The emergence of cloud-based technologies will also have a significant impact on the design and implementation of cyber-physical systems; using such novel technologies, collaborative engineering practises will increase globally, thus enabling a new generation of small-scale industrial organizations to function in an information-centric manner and enabling industry 4.0 transformations (Cimini, et al, 2017). The potential of such technologies in fostering a leaner and more agile approach towards engineering is very high. Engineers and engineering organizations no longer have to be restricted to the availability of advanced processing capabilities, as they can adopt a ‘pay as you go’ approach, which will enable them to access and use software resources for engineering activities from any remote location in the world
The Algorithmic Origins of Life
Although it has been notoriously difficult to pin down precisely what it is
that makes life so distinctive and remarkable, there is general agreement that
its informational aspect is one key property, perhaps the key property. The
unique informational narrative of living systems suggests that life may be
characterized by context-dependent causal influences, and in particular, that
top-down (or downward) causation -- where higher-levels influence and constrain
the dynamics of lower-levels in organizational hierarchies -- may be a major
contributor to the hierarchal structure of living systems. Here we propose that
the origin of life may correspond to a physical transition associated with a
shift in causal structure, where information gains direct, and
context-dependent causal efficacy over the matter it is instantiated in. Such a
transition may be akin to more traditional physical transitions (e.g.
thermodynamic phase transitions), with the crucial distinction that determining
which phase (non-life or life) a given system is in requires dynamical
information and therefore can only be inferred by identifying causal
architecture. We discuss some potential novel research directions based on this
hypothesis, including potential measures of such a transition that may be
amenable to laboratory study, and how the proposed mechanism corresponds to the
onset of the unique mode of (algorithmic) information processing characteristic
of living systems.Comment: 13 pages, 1 tabl
Symbol Emergence in Robotics: A Survey
Humans can learn the use of language through physical interaction with their
environment and semiotic communication with other people. It is very important
to obtain a computational understanding of how humans can form a symbol system
and obtain semiotic skills through their autonomous mental development.
Recently, many studies have been conducted on the construction of robotic
systems and machine-learning methods that can learn the use of language through
embodied multimodal interaction with their environment and other systems.
Understanding human social interactions and developing a robot that can
smoothly communicate with human users in the long term, requires an
understanding of the dynamics of symbol systems and is crucially important. The
embodied cognition and social interaction of participants gradually change a
symbol system in a constructive manner. In this paper, we introduce a field of
research called symbol emergence in robotics (SER). SER is a constructive
approach towards an emergent symbol system. The emergent symbol system is
socially self-organized through both semiotic communications and physical
interactions with autonomous cognitive developmental agents, i.e., humans and
developmental robots. Specifically, we describe some state-of-art research
topics concerning SER, e.g., multimodal categorization, word discovery, and a
double articulation analysis, that enable a robot to obtain words and their
embodied meanings from raw sensory--motor information, including visual
information, haptic information, auditory information, and acoustic speech
signals, in a totally unsupervised manner. Finally, we suggest future
directions of research in SER.Comment: submitted to Advanced Robotic
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