Jan Odelstad

Title: Jan Odelstad

Research Question: How can norms be used to regulate the behavior of multi-agent systems?

Methodology: The study uses an abstract architecture for idealized multi-agent systems whose behavior is regulated by normative systems. The architecture is formalized using decision theory, the Kanger-Lindahl theory of normative positions, and an algebraic representation of normative systems.

Results: The research proposes a set-theoretic predicate characterizing multi-agent systems. The predicate uses decision theory, the Kanger-Lindahl theory, and an algebraic representation to formalize the normative systems.

Implications: The study suggests a framework for unifying individual autonomy with collective rationality in multi-agent systems. It also provides a basis for constructing and testing model systems that resemble human social systems in some basic aspects.

In conclusion, Jan Odelstad's research offers an interesting approach to regulating the behavior of multi-agent systems using norms. The study's methodology and results provide valuable insights into the field, and its implications could have significant implications for the development of artificial intelligence and social science.

Link to Article: https://arxiv.org/abs/0311046v1 Authors: arXiv ID: 0311046v1