Neural Petri nets and their applications to combinatorial games.

Title: Neural Petri nets and their applications to combinatorial games.
Identifier: AAI9130380
identifier: 9130380
Creator: Tien, Jonathan Yeh.
Contributor: Adviser: Michael Anshel
Date: 1991
Language: English
Publisher: City University of New York.
Subject: Mathematics | Computer Science
Abstract: Neural Petri Nets (NPN), a new mathematical modeling structure is defined in this paper. The goal of this study is to investigate the manner in which neural Petri nets automata can be applied to play combinatorial games under varying informational constraints. The research focuses on positional games of a very simple type but with increasing complex rules of play. Algorithms are developed for simulating these automata and analyses of certain special cases are presented.
Type: dissertation
Source: PQT Legacy CUNY.xlsx
degree: Ph.D.