Eigenforms — Objects As Tokens for Eigenbehaviors
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An Information-Theoretic Metric of System Complexity with Application
An Information-Theoretic Metric Douglas Allaire1 of System Complexity With e-mail: [email protected] Application to Engineering Qinxian He John Deyst System Design Karen Willcox System complexity is considered a key driver of the inability of current system design practices to at times not recognize performance, cost, and schedule risks as they emerge. Aerospace Computational Design Laboratory, We present here a definition of system complexity and a quantitative metric for measuring Department of Aeronautics and Astronautics, that complexity based on information theory. We also derive sensitivity indices that indi- Massachusetts Institute of Technology, cate the fraction of complexity that can be reduced if more about certain factors of a sys- Cambridge, MA 02139 tem can become known. This information can be used as part of a resource allocation procedure aimed at reducing system complexity. Our methods incorporate Gaussian pro- cess emulators of expensive computer simulation models and account for both model inadequacy and code uncertainty. We demonstrate our methodology on a candidate design of an infantry fighting vehicle. [DOI: 10.1115/1.4007587] 1 Introduction methodology identifies the key contributors to system complexity and provides quantitative guidance for resource allocation deci- Over the years, engineering systems have become increasingly sions aimed at reducing system complexity. complex, with astronomical growth in the number of components We define system complexity as the potential for a system to and their interactions. With this rise in complexity comes a host exhibit unexpected behavior in the quantities of interest. A back- of new challenges, such as the adequacy of mathematical models ground discussion on complexity metrics, uncertainty sources in to predict system behavior, the expense and time to conduct complex systems, and related work presented in Sec. -
The BRAIN in Space a Teacher’S Guide with Activities for Neuroscience This Page Intentionally Left Blank
Educational Product National Aeronautics and Teachers Grades 5–12 Space Administration The BRAIN in Space A Teacher’s Guide With Activities for Neuroscience This page intentionally left blank. The Brain in Space A Teacher’s Guide With Activities for Neuroscience National Aeronautics and Space Administration Life Sciences Division Washington, DC This publication is in the Public Domain and is not protected by copyright. Permission is not required for duplication. EG-1998-03-118-HQ This page intentionally left blank. This publication was made possible by the National Acknowledgments Aeronautics and Space Administration, Cooperative Agreement No. NCC 2-936. Principal Investigator: Walter W.Sullivan, Jr., Ph.D. Neurolab Education Program Office of Operations and Planning Morehouse School of Medicine Atlanta, GA Writers: Marlene Y. MacLeish, Ed.D. Director, Neurolab Education Program Morehouse School of Medicine Atlanta, GA Bernice R. McLean, M.Ed. Deputy Director, Neurolab Education Program Morehouse School of Medicine Atlanta, GA Graphic Designer and Illustrator: Denise M.Trahan, B.A. Atlanta, GA Technical Director: Perry D. Riggins Neurolab Education Program Morehouse School of Medicine Atlanta, GA This page intentionally left blank. Contributors This publication was developed for the National Aeronautics and Space Administration (NASA) under a Cooperative Agreement with the Morehouse School of Medicine (MSM). Many individu- als and organizations contributed to the production of this curriculum. We acknowledge their support and contributions. Organizations: Joseph Whittaker, Ph.D. Atlanta Public School System Neurolab Education Program Advisory Board: Society for Neuroscience Gene Brandt The Dana Alliance for Brain Initiatives Milton C. Clipper, Jr. Mary Anne Frey, Ph.D. NASA Headquarters: Charles A. -
American Society for Cybernetics the Heinz Von Foerster Society
American Society for Cybernetics The Warren McCulloch Award of the American Society for Cybernetics is awarded to The Heinz von Foerster Society for an extensive, prolonged, deep and successful commitment to the furtherance of the work of Heinz von Foerster and other cyberneticians concerned with second-order cybernetics and related approaches and understandings. Beginning with a major interview book with Heinz von Foerster (“Der Anfang von Himmel und Erde hat keinen Namen: Eine Selbsterschaffung in sieben Tagen” about to appear in English translation), members of the Heinz for Foerster Society have promoted second order cybernetics in general, and the work of Heinz von Foerster, Gordon Pask, Ernst von Glasersfeld and Richard Jung in particular, in the conferences and lectures they have funded and promoted over the past 10 years. Emerging from their first conference, the book “An Unfinished Revolution” is a key critical and reference work covering the progress so far of second-order cybernetics. Together with the publishers echoraum, they have also published a series of books on mainly second-order cybernetic topics, with authors including ASC members; and recently began a new series with the book “Trojan Horses,” which emerged from the ASC’s 2010 conference held in Troy, NY. The Heinz von Foerstar Society has been successful in directing new public attention to cybernetics in both the English and the German speaking worlds. Theirs is a major contribution to the furtherance of cybernetics, both in terms of public attention and publicity, and in the continuing development of our subject area. Ranulph Glanville President of the American Society for Cybernetics 2013/08/01. -
Introduction to Cyber-Physical System Security: a Cross-Layer Perspective
IEEE TRANSACTIONS ON MULTI-SCALE COMPUTING SYSTEMS, VOL. 3, NO. 3, JULY-SEPTEMBER 2017 215 Introduction to Cyber-Physical System Security: A Cross-Layer Perspective Jacob Wurm, Yier Jin, Member, IEEE, Yang Liu, Shiyan Hu, Senior Member, IEEE, Kenneth Heffner, Fahim Rahman, and Mark Tehranipoor, Senior Member, IEEE Abstract—Cyber-physical systems (CPS) comprise the backbone of national critical infrastructures such as power grids, transportation systems, home automation systems, etc. Because cyber-physical systems are widely used in these applications, the security considerations of these systems should be of very high importance. Compromise of these systems in critical infrastructure will cause catastrophic consequences. In this paper, we will investigate the security vulnerabilities of currently deployed/implemented cyber-physical systems. Our analysis will be from a cross-layer perspective, ranging from full cyber-physical systems to the underlying hardware platforms. In addition, security solutions are introduced to aid the implementation of security countermeasures into cyber-physical systems by manufacturers. Through these solutions, we hope to alter the mindset of considering security as an afterthought in CPS development procedures. Index Terms—Cyber-physical system, hardware security, vulnerability Ç 1INTRODUCTION ESEARCH relating to cyber-physical systems (CPS) has In addition to security concerns, CPS privacy is another Rrecently drawn the attention of those in academia, serious issue. Cyber-physical systems are often distributed industry, and the government because of the wide impact across wide geographic areas and typically collect huge CPS have on society, the economy, and the environment [1]. amounts of information used for data analysis and decision Though still lacking a formal definition, cyber-physical making. -
Neuerscheinungsdienst 2017 ND 08
Neuerscheinungsdienst Jahrgang: 2017 ND 08 Stand: 22. Februar 2017 Deutsche Nationalbibliothek (Leipzig, Frankfurt am Main) 2017 ISSN 1611-0153 urn:nbn:de:101-201612064955 2 Hinweise Der Neuerscheinungsdienst ist das Ergebnis der Ko- blikation in der Deutschen Nationalbibliografie; de- operation zwischen der Deutschen Nationalbibliothek und taillierte bibliografische Daten sind im Internet über der MVB Marketing- und Verlagsservice des Buchhandels http://dnb.dnb.de abrufbar. GmbH. Ziel dieser Kooperation ist zum einen die Hebung Bibliographic information published by the Deut- des Qualitätsstandards des Verzeichnisses lieferbarer sche Nationalbibliothek Bücher (VLB) und zum anderen die Verbesserung der The Deutsche Naitonalbibliothek lists this publication in Aktualität und Vollständigkeit der Deutschen Nationalbi- the Deutsche Nationalbibliografie; detailed bibliographic bliografie. In der Titelaufnahme wird der entsprechende data are available in the Internet at http://dnb.dnb.de. Link zu den Verlagsangaben direkt geschaltet; ebenso Information bibliographique de la Deutsche Natio- alle anderen möglichen Links. nalbibliothek Die Verleger melden ihre Titel in einem einzigen Vor- La Deutsche Nationalbibliothek a répertoiré cette publi- gang für das VLB und den Neuerscheinungsdienst der cation dans la Deutsche Nationalbibliografie; les données Deutschen Nationalbibliothek. Dieser zeigt somit alle bibliographiques détaillées peuvent être consultées sur Neumeldungen von Titeln an, die auch in das VLB ein- Internet à l’adresse http://dnb.dnb.de gehen. Die VLB-Redaktion leitet die Meldungen an die Deutsche Nationalbibliothek weiter. Die Titel werden oh- Die Verleger übersenden gemäß den gesetzlichen Vor- ne weitere Änderungen im Neuerscheinungsdienst der schriften zur Pflichtablieferung zwei Pflichtexemplare je Deutschen Nationalbibliothek angezeigt. Die Titelanzei- nach Zuständigkeit an die Deutsche Nationalbibliothek gen selbst sind, wie auf der Sachgruppenübersicht an- nach Frankfurt am Main oder nach Leipzig. -
Cyber-Physical Systems, a New Formal Paradigm to Model Redundancy and Resiliency Mario Lezoche, Hervé Panetto
Cyber-Physical Systems, a new formal paradigm to model redundancy and resiliency Mario Lezoche, Hervé Panetto To cite this version: Mario Lezoche, Hervé Panetto. Cyber-Physical Systems, a new formal paradigm to model redun- dancy and resiliency. Enterprise Information Systems, Taylor & Francis, 2020, 14 (8), pp.1150-1171. 10.1080/17517575.2018.1536807. hal-01895093 HAL Id: hal-01895093 https://hal.archives-ouvertes.fr/hal-01895093 Submitted on 13 Oct 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Cyber-Physical Systems, a new formal paradigm to model redundancy and resiliency Mario Lezoche, Hervé Panetto Research Centre for Automatic Control of Nancy (CRAN), CNRS, Université de Lorraine, UMR 7039, Boulevard des Aiguillettes B.P.70239, 54506 Vandoeuvre-lès-Nancy, France. e-mail: {mario.lezoche, herve.panetto}@univ-lorraine.fr Cyber-Physical Systems (CPS) are systems composed by a physical component that is controlled or monitored by a cyber-component, a computer-based algorithm. Advances in CPS technologies and science are enabling capability, adaptability, scalability, resiliency, safety, security, and usability that will far exceed the simple embedded systems of today. CPS technologies are transforming the way people interact with engineered systems. -
What Is a Complex System?
What is a Complex System? James Ladyman, James Lambert Department of Philosophy, University of Bristol, U.K. Karoline Wiesner Department of Mathematics and Centre for Complexity Sciences, University of Bristol, U.K. (Dated: March 8, 2012) Complex systems research is becoming ever more important in both the natural and social sciences. It is commonly implied that there is such a thing as a complex system, different examples of which are studied across many disciplines. However, there is no concise definition of a complex system, let alone a definition on which all scientists agree. We review various attempts to characterize a complex system, and consider a core set of features that are widely associated with complex systems in the literature and by those in the field. We argue that some of these features are neither necessary nor sufficient for complexity, and that some of them are too vague or confused to be of any analytical use. In order to bring mathematical rigour to the issue we then review some standard measures of complexity from the scientific literature, and offer a taxonomy for them, before arguing that the one that best captures the qualitative notion of the order produced by complex systems is that of the Statistical Complexity. Finally, we offer our own list of necessary conditions as a characterization of complexity. These conditions are qualitative and may not be jointly sufficient for complexity. We close with some suggestions for future work. I. INTRODUCTION The idea of complexity is sometimes said to be part of a new unifying framework for science, and a revolution in our understanding of systems the behaviour of which has proved difficult to predict and control thus far, such as the human brain and the world economy. -
The Place and Meaning of Computing in a Sound Relationship of Man, Machines, and Environment
Proceedings ICMC|SMC|2014 14-20 September 2014, Athens, Greece The place and meaning of computing in a sound relationship of man, machines, and environment Agostino Di Scipio Electroacoustic Music Dept., Conservatory of L'Aquila, Italy [email protected] ABSTRACT other than digital in order to make sense of what in the world can be computed - provided there is anything really The following is a revised version of the text prepared by computable in music-related activities (a problematic the author for his keynote speech at the opening session question, often debated years ago). However, today the of the International Computer Music Conference 2013 particular manner in which digital technologies are sided (12.08.2013 Heath Ledger Theatre, State Theatre Centre, by, and integrated in, different but overlapping techno- logical layers, seems to be increasingly significant to Perth, Western Australia). It bears on conceptual changes practitioners. This is clear from live performance prac- that have taken place, along the decades, in the shared tices where computing devices do not represent some- notion of "computing" as relative to creative practices of thing standing on its own, and are rather embedded in a sound- and music-making. In particular, the notion of larger "performance ecosystem" (Waters, 2011) where computing is considered vis a vis the relationship, either other technogical layers and agencies play an (equally?) implicity established or deliberately designed by practi- important role, whether they are human agencies (per- tioners, to the (necessarily hybrid) technological infra- formers), mechanical agencies (music instruments and structures of their work, as well as to the surrouding various infrastructures), or devices ranging from basic physical space where such practices take place. -
Kant, Cybernetics, and Cybersecurity: Integration and Secure Computation
Kant, Cybernetics, and Cybersecurity: Integration and Secure Computation Jon K. Burmeister and Ziyuan Meng College of Mount Saint Vincent Drew University [email protected], [email protected] Abstract1 This paper argues that Kant’s philosophy of mind sheds light on Heinz Von Foerster’s cybernetic thinking, and that both thinkers help us identify dubious theoretical assumptions within computer science and cybersecurity. Specifically, these two thinkers discuss the importance of integration within systems, a position which contrasts with a reductionist form of thinking currently common in computer science. We argue that such a reductionist and narrowly technocentric approach leads to the design of insecure software systems. To develop an improved theory of security and vulnerability, we look for inspiration to Kant and von Foerster. Our approach focuses on two types of integration within Kant’s philosophy of mind – the “unity of apperception,” and the unity of the mental faculties – and then traces these same themes in the thought of von Foerster. Building on that, we argue two points: 1.) a secure software system never directly takes its structure or operations from the external environement, and 2.) the more integrated a software system is, the more secure it is. To illustrate these points, we analyze a case study of a code injection attack against a vulnerable web application, and show how such a system is vulnerable to cyberattack when it fails to maintain its integrated form in response to inputs from the environment. Keywords: Philosophy of Mind, Cybernetics, Cybersecurity, Information Systems, Kant, Heinz von Foerster, Integration, Reductionism. 1. Introduction The philosophical tradition of German Idealism and the field of cybernetics share a common impulse: both strive to think systematically and at a high level of generality, with the goal of discovering foundational principles that apply across a wide variety of domains. -
Modeling, Analysis & Control of Dynamic Systems
Dynamic System Investigation Process • Dynamic System Investigation Overview • Stages of a Dynamic System Investigation – Balance: The Key to Success! • Dynamic System Examples • Dynamic System Investigation Case Study Mechatronics K. Craig Dynamic System Investigation 1 Dynamic System Investigation Physical Physical Mathematical System Model Model Experimental Mathematical Comparison Analysis Analysis Design Changes Mechatronics K. Craig Dynamic System Investigation 2 Measurements, Calculations, Which Parameters to Identify? Model Manufacturer's Specifications What Tests to Perform? Parameter ID Physical Physical Math System Model Model Assumptions Physical Laws Equation Solution: Experimental and Analytical Analysis Engineering Judgement Model Inadequate: and Numerical Modify Solution Actual Predicted Dynamic Compare Dynamic Behavior Behavior Make Design Design Modify Model Adequate, Model Adequate, Complete or Decisions Performance Inadequate Performance Adequate Augment Dynamic System Investigation Mechatronics K. Craig Dynamic System Investigation 3 Dynamic System Investigation Overview • Apply the steps in the process when: – An actual physical system exists and one desires to understand and predict its behavior. – The physical system is a concept in the design process that needs to be analyzed and evaluated. • After recognizing a need for a new product or service, one generates design concepts by using: – Past experience (personal and vicarious) – Awareness of existing hardware – Understanding of physical laws – Creativity Mechatronics K. Craig Dynamic System Investigation 4 • The importance of modeling and analysis in the design process has never been more important. • Design concepts can no longer be evaluated by the build-and-test approach because it is too costly and time consuming. • Validating the predicted dynamic behavior in this case, when no actual physical system exists, then becomes even more dependent on one's past hardware and experimental experience. -
What Is Systems Theory?
What is Systems Theory? Systems theory is an interdisciplinary theory about the nature of complex systems in nature, society, and science, and is a framework by which one can investigate and/or describe any group of objects that work together to produce some result. This could be a single organism, any organization or society, or any electro-mechanical or informational artifact. As a technical and general academic area of study it predominantly refers to the science of systems that resulted from Bertalanffy's General System Theory (GST), among others, in initiating what became a project of systems research and practice. Systems theoretical approaches were later appropriated in other fields, such as in the structural functionalist sociology of Talcott Parsons and Niklas Luhmann . Contents - 1 Overview - 2 History - 3 Developments in system theories - 3.1 General systems research and systems inquiry - 3.2 Cybernetics - 3.3 Complex adaptive systems - 4 Applications of system theories - 4.1 Living systems theory - 4.2 Organizational theory - 4.3 Software and computing - 4.4 Sociology and Sociocybernetics - 4.5 System dynamics - 4.6 Systems engineering - 4.7 Systems psychology - 5 See also - 6 References - 7 Further reading - 8 External links - 9 Organisations // Overview 1 / 20 What is Systems Theory? Margaret Mead was an influential figure in systems theory. Contemporary ideas from systems theory have grown with diversified areas, exemplified by the work of Béla H. Bánáthy, ecological systems with Howard T. Odum, Eugene Odum and Fritj of Capra , organizational theory and management with individuals such as Peter Senge , interdisciplinary study with areas like Human Resource Development from the work of Richard A. -
Physical Information Systems †
Abstract Physical Information Systems † John Collier School of Religion, Philosophy and Classics, University of KwaZulu-Natal, Durban 4041, South Africa; [email protected]; Tel.: +27-31-260-3248 † Presented at the IS4SI 2017 Summit DIGITALISATION FOR A SUSTAINABLE SOCIETY, Gothenburg, Sweden, 12–16 June 2017. Published: 9 June 2017 Abstract: Information is usually in strings, like sentences, programs or data for a computer. Information is a much more general concept, however. Here I look at information systems that can be three or more dimensional, and examine how such systems can be arranged hierarchically so that each level has an associated entropy due to unconstrained information at a lower level. This allows self-organization of such systems, which may be biological, psychological, or social. Keywords: information; dynamics; self-organization; hierarchy Information is usually studied in terms of stings of characters, such as in the methods described by Shannon [1] which applies best to the information capacity of a channel, and Kolomogorov [2] and Chaitin [3], which applies best to the information in a system. The basic idea of all three, though they differ somewhat in method, is that the most compressed form of the information in something is a measure of its actual information content, an idea I will clarify shortly. This compressed form gives the minimum number of yes, no questions required to uniquely identify some system [4]. Collier [5] introduced the idea of a physical information system. The idea was to open up information from strings to multidimensional physical systems. Although any system can be mapped onto a (perhaps continuous) string, it struck me that it was more straightforward to go directly to multidimensional systems, as found in, say biology.