Pure Nash equilibria: hard and easy games
Proceedings of the 9th conference on Theoretical aspects of rationality and knowledge
Proceedings of the 32nd ACM SIGPLAN-SIGACT symposium on Principles of programming languages
FUNCTIONAL PEARLS: Probabilistic functional programming in Haskell
Journal of Functional Programming
A visual language for representing and explaining strategies in game theory
VLHCC '08 Proceedings of the 2008 IEEE Symposium on Visual Languages and Human-Centric Computing
A domain-specific language for experimental game theory
Journal of Functional Programming
Hi-index | 0.00 |
Experimental game theory is an increasingly important research tool in many fields, providing insight into strategic behavior through simulation and experimentation on game theoretic models. Unfortunately, despite relying heavily on automation, this approach has not been well supported by tools. Here we present our continuing work on Hagl, a domain-specific language embedded in Haskell, intended to drastically reduce the development time of such experiments and support a highly explorative research style. In this paper we present a fundamental redesign of the underlying game representation in Hagl. These changes allow us to better utilize domain knowledge by allowing different classes of games to be represented differently, exploiting existing domain representations and algorithms. In particular, we show how this supports analytical extensions to Hagl, and makes strategies for state-based games vastly simpler and more efficient.