Hans W. Gottinger
University of Virginia
6 Papers
22 Citations
Hans W. Gottinger is an academic researcher from University of Virginia. The author has contributed to research in topics: Computability & Computability theory. The author has an hindex of 3, co-authored 6 publications. Previous affiliations of Hans W. Gottinger include Maastricht University.
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Papers
Choice and complexity
TL;DR: The main result states that effective realization of choice functions is bound by the ‘complexity of computing machines’, which is simply the length of the shortest program which simulates this machine.
10
Structure and complexity in economic and social systems
Peter S. Albin,Hans W. Gottinger +1 more
TL;DR: In this paper, an attempt is made to outline a theory of complexity for economics and social science purposes, which realizes complexity as an analytical category, and develops a comprehensive theory of structural forms, structural change and qualitative systems behavior based on these methods.
9
Foundations of lexicographic utility
TL;DR: This paper presents an alternative mathematical characterization of lexicographic utility to the one given by Chipman (1960), and the consequences on the topological structure of such a space are examined.
2
An information theoretic approach to large economic organizations
TL;DR: Following some earlier work on ‘computable’ organizations, Gottinper suggests that an organization reveals very much of the structure of a sequenrial machine, and for that purpose, in this approach, the structureOf the organization is very much determined by the capabilities and limitations of the organization members which weakens the rigorous normative set-up of other organizatilon.
1
Choice Processes, Computability and Complexity: Computable Choice Functions
Hans W. Gottinger
- 01 Jan 1988
TL;DR: In this paper, the authors model human choice processes by computational procedures and by representations of computational theory, to the extent that "human rationality" and "human problem-solving" has been taken as an anchor point for constructing artificial intelligence.