Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/73238
Título: Preface
Autores/as: Pichler, Franz
Moreno-Díaz, Roberto 
Clasificación UNESCO: 1203 Ciencia de los ordenadores
Fecha de publicación: 1992
Publicación seriada: Lecture Notes in Computer Science 
Conferencia: 2nd International Workshop on Computer Aided Systems Theory, EUROCAST 1991 
Resumen: The proceedings contain 56 papers. The special focus in this conference is on Computer Aided Systems Theory. The topics include: Linear and algorithmic formulation of co-operative computation in neural nets; algebraic system modelling and implementation; geometric theory of nonlinear dynamical networks; towards a computer aided design of linear control systems; use of modern computer tools for numerical experiments in matrix theory; the concept of the system as a key to system-engineering in the information technology domain; general systems theory requirements for the engineering of complex models; object identification and retrieval in a CAST library; navigation in systems problem solving; systems theory in modelling chromatic retinal visual processing; a transformation of the problems of minimal satisfaction of constraints; an environment for intelligent autonomous system design and simulation; systems modeling and process control; incorporating heuristic rules in a multifaceted system; towards formalism of deep model descriptions of dynamic systems; a new approach to the design of concurrent control architectures; on the complexity of system-level diagnosis algorithms; computer aided vision (CAV) a CAST method bank for artificial vision systems; a CAST system for visual fault detection research; CAST tools for automatic FMS-dynamics models synthesis; a high level interactive design environment for complex systems; the signal description language siba; experience in the development of advanced modelling environments; linking CAST.FSM to practical applications; complete transforms and their incidence in artificial perception systems theory; neural structures to compute homothetic invariances for artificial perception systems.
URI: http://hdl.handle.net/10553/73238
ISBN: 978-3-540-55354-0
ISSN: 0302-9743
DOI: 10.1007/BFb0021000
Fuente: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) [ISSN 0302-9743], v. 585 LNCS, (Enero 1992)
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