[comp.ai.digest] Seminar - A Hybrid Paradigm for Modeling of Complex Systems

gately@resbld.csc.ti.COM ("Michael T. Gately") (11/03/87)

       Texas Instruments Computer Science Center Lecture Series
 
           A Hybrid Paradigm for Modeling of Complex Systems
 
                           Prof. J. Talavage
                           Purdue University
 
                   10:00 am, Friday, 6 November 1987
                   North Building Cafeteria Room C-4
 
Abstract
 
The Network Modeling approach to simulation provides the modeler with
simple yet powerful concepts which can be used to capture the
significant aspects of the system to be modeled.  Current network
modeling methodologies, though advanced, lack explicit concepts for
the representation of complex behavior such as decision-making .
Artificial Intelligence research, because of its emphasis on knowledge
representation, has provided several techniques which can be
succesfully applied to the modeling of decision-making behavior.  A
hybrid methodology unifying the concepts of Object-oriented
programming, Logic programming and the Discrete-Event approach to
systems modeling should provide a very convenient vehicle for
representing complex systems.  The approach has been implemented as a
top-level of CAYENE.  CAYENE is a member of the class of programming
languages known as hybrid AI systems and it is based on a formalism of
distributed logic programming.  SIMYON is an experimental network
simulation environment embedded in CAYENE.  SIMYON is implemented by
defining a library of CAYENE objects analogous to the `blocks' of
network simulation languages and thus providing building blocks for
modeling.  Examples of the use of SIMYON to model a job scheduler in a
manufacturing situation, and an adaptive material handling dispatch
mechanism for flexible manufacturing systems are given.
 
Biography
 
Dr. Talavage is a Professor of Industrial Engineering at Purdue
University.  His teaching and research interests have focussed on the
areas of modeling and simulation, with application to manufacturing
systems.  Professor Talavage's current research includes the
integration of artificial intelligence capabilities with those of
simulation/math modeling in order to provide a highly intelligent aid
for production decision support.  Since receiving his Ph.D. from Case
Institute of Technology in 1968, Dr. Talavage has published over 100
papers and one book, and is on the Editorial board of the Journal of
Manufacturing Systems and an Associate Editor for the SIMULATION
journal.  He has been a consultant to numerous companies and
government agencies.
 
----------------------------------------------------------------------
The lecture will be given in the North Building Cafeteria Room C-4 at
the Dallas Expressway site.  Visitors to TI should contact Dr. Bruce
Flinchbaugh (214-995-0349) in advance and meet in the west entrance
lobby of the North Building by 9:45am.