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Medicine and Natural Sciences: Collective Properties of Physical Systems is a collection of papers presented at the 24th Nobel Symposium on Collective Properties of Physical Systems, held in Aspenäsgärden, Lerum, Sweden on June 12-16, 1973. This book is organized into eight parts encompassing 35 chapters, and begins with overview of the fundamentals of renormalization group approach, phase transitions, and critical phenomena. These topics are followed by discussions on the solutions of the Kondo problem, the specific features of superfluid 3He, and the models to investigate the effects of limited dimensionality in solid systems. The subsequent parts cover the various aspects and principles of surface physics and high-energy excitations in solids. These parts also examine selective theories that provide significant insights in understanding the superstructure, ordering, and crystallography of physical systems. The last parts describe the electronic correlation functions and other properties of liquid crystals and liquids. Physicists, scientists, and research workers in the fields of medicine and natural sciences will find this book of great value.
Collective properties of physical systems ...
Market: Students and researchers in biological physics. "Any medical
Computational properties of use to biological organisms or to the construction of computers can emerge as collective properties of systems having a large number of simple equivalent components (or neurons). The physical meaning of content-addressable memory is described by an appropriate phase space flow of the state of a system. A model of such a system is given, based on aspects of neurobiology but readily adapted to integrated circuits. The collective properties of this model produce a content-addressable memory which correctly yields an entire memory from any subpart of sufficient size. The algorithm for the time evolution of the state of the system is based on asynchronous parallel processing. Additional emergent collective properties include some capacity for generalization, familiarity recognition, categorization, error correction, and time sequence retention. The collective properties are only weakly sensitive to details of the modeling or the failure of individual devices.
This volume consists of 44 classic and important contributions to brain theory before the enormous growth in interest and publications began in 1983. These papers span the topics of fundamental foundations, concepts, analysis and simulation of network dynamics, memory, information processing, and physical spin analogies.
Based on the concept of a physical system, this book offers a new philosophical interpretation of classical mechanics and the Special Theory of Relativity. According to Belkind’s view the role of physical theory is to describe the motions of the parts of a physical system in relation to the motions of the whole. This approach provides a new perspective into the foundations of physical theory, where motions of parts and wholes of physical systems are taken to be fundamental, prior to spacetime, material properties and laws of motion. He defends this claim with a constructive project, deriving basic aspects of classical theories from the motions of parts and wholes. This exciting project will challenge readers to reevaluate how they understand the structure of the physical world in which we live.
A Mind Over Matter is a biography of the Nobel-prize winner Philip W. Anderson, a person widely regarded as one of the most accomplished and influential physicists of the second half of the twentieth century. Anderson (1923-2020) was a theoretician who specialized in the physics of matter, including window glass and metals, magnets and semiconductors, liquid crystals and superconductors. More than any other single person, Anderson transformed the patchwork subject of solid-state physics into the deep, subtle, and coherent discipline known today as condensed matter physics. Among his many world-class research achievements, Anderson discovered an aspect of wave physics that had been missed by all previous scientists going back to Isaac Newton. He became a public figure when he testified before Congress to oppose its funding of an expensive project intended exclusively for particle physics research. Over the years, he published many articles designed to influence a broad audience about issues where science impacted public policy and culture. Anderson grew up in the American mid-west, was educated at Harvard, and rose to the pinnacle of his profession during the first decade of his thirty-five career as a theoretical physicist at Bell Telephone Laboratories. Almost uniquely, he spent many years working half-time as a professor at the University of Cambridge and at Princeton University. The outspoken Anderson enjoyed broad influence outside of physics when he helped develop and champion the concepts of emergence and complexity as organizing principles to help attack very difficult problems in technically challenging disciplines.
The Netherlands Society for Systems Research was founded on 9 May 1970 to promote interdisciplinary scientific activity on basis of a systems approach. It has its seat in Utrecht, The Netherlands. Officers for the years 1975/1976: President: G. Broekstra, University of Delft Secretaries: G. De Zeeuw, University of Amsterdam (acting secretary) G.R. Eyzenga, University of Groningen Treasurer: J.N. Herbschleb, Computer Laboratory, Department of Cardio logy, University Hospital, CatharijnesingellOl, Utrecht. All information about the society can be obtained from the acting secretary. The editor is happy to announce that H. Koppelaar from the State University Utrecht will act as associate editor of the Journal. Moreover, the following scientists have declared to be willing to act as member of the editiorial board: Professor G. Klir, State University of New York, Binghamton, New York, U.S.A. Professor S. Braten, Institute of Sociology, University of Oslo, Blindern, Norway Professor B.R. Gaines, Department of Electrical Engineering Science, Univer sity of Essex, Colchester, U.K. Professor Maria Nowakowska, Department of Praxiology, Polish Academy of Sciences, Warszawa, Poland. Professor F. Pichler, Department of Systems Theory, Johannes Kepler Univer sity, Linz-Auhof, Austria. Professor B. Zeigler, Department of Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel. The editor ADDRESSES OF AUTHORS Broekstra, G., Graduate School of Management, Poortweg 6-8, Delft, The Netherlands. Dalenoort, G.J., Institute for experimental psychology, State University Groningen, Biological Centre, Section D, Kerklaan 30, Haren (Gr.), The Netherlands.
Neural network technology encompasses a class of methods which attempt to mimic the basic structures used in the brain for information processing. Thetechnology is aimed at problems such as pattern recognition which are difficult for traditional computational methods. Neural networks have potential applications in many industrial areas such as advanced robotics, operations research, and process engineering. This book is concerned with the application of neural network technology to real industrial problems. It summarizes a three-year collaborative international project called ANNIE (Applications of Neural Networks for Industry in Europe) which was jointly funded by industry and the European Commission within the ESPRIT programme. As a record of a working project, the book gives an insight into the real problems faced in taking a new technology from the workbench into a live industrial application, and shows just how it can be achieved. It stresses the comparison between neural networks and conventional approaches. Even the non-specialist reader will benefit from understanding the limitations as well as the advantages of the new technology.