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Can I read Toward Categoricity for Classes with No Maximal Models on EtoBox?
Toward Categoricity for Classes with No Maximal Models by Saharon Shelah; Andrés Villaveces is a Computer Science article available to read on EtoBox.
What is Toward Categoricity for Classes with No Maximal Models about?
We provide here the first steps toward a Classification Theory of Abstract Elementary Classes with no maximal models, plus some mild set theoretical assumptions, when the class is categorical in some i greater than its Liiwenheim-Skolem number. We study the degree to which amalgamation may be recovered, the behaviour of non p-splitting types. Most importantly, the existence of saturated models in a strong enough sense is proved, as a first step toward a complete solution to the Los Conjecture for these classes. Further results are in preparation.
Who reads Toward Categoricity for Classes with No Maximal Models?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Saharon Shelah; Andrés Villaveces
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0168-0072)
- Published
- 1999
- Language
- EN
- Field
- Computer Science (Physical Sciences)