Computer Aided Systems Theory - EUROCAST '95

On the structure of discrete systems.- Identification and recognition through shape in complex systems.- A logical approach to system construction.- Task management system.- Toward a unified theory of discrete event systems.- Intersensorial transformations: General systems description and implications.- Proving system properties by means of trigger-graph and Petri nets.- Refinement mapping for general (discrete event) systems theory.- A system-theoretic approach to planning and programming.- Equality of functions in CAST.- Basins of attraction estimation through symbolic graphical computing techniques.- Temporal and functional verification of a symbolic representation of complex systems.- Modelling differential equations by basic information technology means.- System theoretic aspects of software architectures.- A language for describing complex-evolutive software systems.- An architecture for process modelling and execution support.- A formal semantics for a graphical model representation in system design.- A user-interface for a microsystems high-level simulator.- CAST extensions to DASME to support Generalized Information Theory.- Symbolic computing aided design of nonlinear PID controllers.- Discrete Event simulation in an environment for Temporal Expert Systems.- TOMSPIN - a tool for modelling with stochastic petri nets.- Hybrid evolutionary programming: The tools for CAST.- Automatic induction of DEVS structures.- Systems Engineering and infrastructures for open computer based systems.- Object-oriented high level modeling of complex systems.- Multifacetted, object oriented modeling in the transportation domain.- EaSy-Sim: A tool environment for the design of complex, real-time systems.- Systems level specification and modelling of reactive systems: Concepts, methods, and tools.- DEVS-based endomorphic agents: Control through deliberative and reactive planning.- Software processes, work flow and work cell design - Separated by a common paradigm?.-