The above consideration indicates that at present many of the experi- mental facts on PS in animals can be quantitatively explained within the limits of the "e;universal"e; photoreceptor membrane concept.
These notes serve as an introduction to stochastic theories which are useful in population biology; they are based on a course given at the Courant Institute, New York, in the Spring of 1974.
Paolo Bisogno and Augusto Forti Taking an interest in the future is among the most instinctive Conscious of the existence of time as well as of human activities.
The NATO Advanced Study Institute From Statistics to Neural Networks, Theory and Pattern Recognition Applications took place in Les Arcs, Bourg Saint Maurice, France, from June 21 through July 2, 1993.
The primary aim of this monograph is to provide a formal framework for the representation and management of uncertainty and vagueness in the field of artificial intelligence.
These lectures deal with background and latest developments in symmetries, singularity structures (Painleve analysis) and their relation to integrability and chaos in classical and quantum nonlinear dynamical systems.
Adaptive systems are widely encountered in many applications ranging through adaptive filtering and more generally adaptive signal processing, systems identification and adaptive control, to pattern recognition and machine intelligence: adaptation is now recognised as keystone of "e;intelligence"e; within computerised systems.
Addressed to both pure and applied probabilitists, including graduate students, this text is a pedagogically-oriented introduction to the Schwartz-Meyer second-order geometry and its use in stochastic calculus.
Today, the theory of random processes represents a large field of mathematics with many different branches, and the task of choosing topics for a brief introduction to this theory is far from being simple.
This book contains the invited papers of the interdisciplinary workshop on "e;Stochastic Nonlinear Systems in Physics, Chemistry and Biology"e; held at the Center for Interdisciplinary Research (ZIF), University of Bielefeld, West Germany, October 5-11, 1980.
The objective of the present edition of this monograph is the same as that of earlier editions, namely, to provide readers with some mathemati- cal maturity a rigorous and modern introduction to the ideas and principal theorems of probabilistic information theory.
Probability measures on algebraic-topological structures such as topological semi- groups, groups, and vector spaces have become of increasing importance in recent years for probabilists interested in the structural aspects of the theory as well as for analysts aiming at applications within the scope of probability theory.
In winter 71/72 I held a seminar on general equilibrium theory for a jOint group of students in mathematics and in econo- mics at the university of Bonn , w.
In anglo-american literature there exist numerous books, devoted to the application of the Laplace transformation in technical domains such as electrotechnics, mechanics etc.
In this book problems related to the choice of models in such diverse fields as regression, covariance structure, time series analysis and multinomial experiments are discussed.
Project planning, scheduling, and control are regularly used in business and the service sector of an economy to accomplish outcomes with limited resources under critical time constraints.
Searching is an important process in most AI systems, especially in those AI production systems consisting of a global database, a set of production rules, and a control system.
I have been pleased with the favourable reception of the first edition of this book and I am grateful to have the opportunity to prepare this second edition.
A volume of this nature containing a collection of papers has been brought out to honour a gentleman - a friend and a colleague - whose work has, to a large extent, advanced and popularized the use of stochastic point processes.
