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OBJECTIVE:
To offer a compact introduction to elementary notions in
category theory. CAT is a powerful mathematical modeling language
(containing universal construction principles) with a wide area of
potential applications, especially in computer science and AI.
The workshop will discuss aspects from theory and practice (applications).
Depending on participants and submissions, the meeting can offer a brief
tutorial on ACCAT by the organiser.
MOTIVATION:
Introductory and motivating remarks: CAT provides
a unifying formal (mathematical) language with constructive elements,
of increasing importance in computer science and AI.
The concept of a CAT, by its very nature, contains OO aspects.
There are obvious trends in interdisciplinary modeling with CAT,
algebra, geometry, topology, logic, as can be observed in activities and
events, taking place in large areas like Neurobiology, Cognitive Sciences,
Brain Research, Topological Psychology, Music Theory.
(Further motivating remarks and information:
 
Remarks on ACCAT ).
CONTENTS (of an extended tutorial   -   a guideline):
- Introduction to basic notions and notation of category theory, examples.
- Implementational aspects (in ML syntax). Categorical description
of LIST handling.
- Categorical modeling of general relational structures (with many examples);
towards a general semantics for relations.
Arrow diagrams interpreted categorically; in particular,
this aspect applies to UML diagrams.
- Example: Categorical treatment of forming the greatest common divisor
and least common multiple as (co-)limit constructions
(the universal property).
- Remarks on the textbook Bird/de Moor: Algebra of Programming
(published by Prentice Hall, 1997).
- Towards a generic CAT based model for multiagent systems (MAS).
- Report on two doctoral theses dealing with CATs to solve
open problems of relevance in computer science (former PhD students
in my ACCAT group at RISC-Linz).
- Petri Nets in a CAT environment: Morphisms, Reductions, and Simulation
  [cf. Girault/Valk: "Petri Nets for Systems Engineering"].
- Remarks on a CAT based structure modeling in connectionist networks
and towards a therory of "homomorphic learning".
An industrially relevant application of CAT based modeling in
simulation of neural networks (hints to the Salzburg "FlexSimTool").
- New trends in interdisciplinary modeling with  
CAT, Algebra, Geometry, Topology, Logic  
(cf. On General Mathematical Modeling Aspects),
    e.g. in   Neurobiology, Cognition, Brain Research,
Topological Psychology (cf.
Topology),
Music Theory (cf.
EncycloSpace).
Some LITERATURE Hints:
Renowned classical textbook by one of the inventors of CAT theory:
- Saunders Mac Lane: Categories for the Working Mathematician (2nd ed.).
(Springer Graduate Texts in Mathematics, Vol.5, 1998)
- Lawvere/Schanuel: Conceptual Mathematics. A first introduction to categories.
(Cambridge University Press, 2000)
- Rydeheard/Burstall: Computational Category Theory.
(Prentice Hall, 1988)
- Adamek/Herrlich/Strecker: Abstract and Concrete Categories.
(J.Wiley Interscience, 1990)
- Goldblatt: TOPOI. The categorical analysis of logic.
(North-Holland, 1986)
- Pierce: Basic Category Theory for Computer Scientists.
(The MIT Press, 1991)
- Mazzola: The Topos of Music.
(Birkhäuser Verlag, 2002)
- Pfalzgraf: ACCAT Tutorial, held at TU Munich, Sept. 3-5, 1997.
ACCAT lecture notes, worked out with details, exist as material for a
two semester course.
- Pfalzgraf: Modeling connectionist network structures:
some geometric and categorical aspects.
(Annals of Math. and AI, 36 (2002),pp.279-301)
- Pfalzgraf: Modeling Connectionist Networks: Categorical, Geometric Aspects
(Towards "Homomorphic Learning").
Presentation at CASYS'2003, Li`ege, Belgium, Aug.2003.
  Received a Best Paper Award.
In:   CASYS'2003, AIP Proceedings,   Vol. 718 (2004),
D.M.Dubois (Ed.),   American Institute of Physics, 2004.
NOTE:     Further information of relevance, cf.  
Remarks on ACCAT
(applied and computational category theory)
On General Mathematical Modeling Aspects.
Mathematical Informatics.