In our everyday environments, we are constantly having to adapt our behavior to changing conditions. Hence, processing information is a fundamental cognitive activity, especially the linking together of perceptual and action processes. In this context, expertise research in the sport domain has concentrated on arguing that superior processing performance is driven by an advantage to be found in...

This paper presents a first experience with evaluating sytems that address the issue of Logic Form Identification (LFi). A Gold Standard approach was used in which experts provide solutions to test data. The expert solutions, the gold standard, are then compared against outputs from participanting systems and different metrics observed. We proposed a few novel metrics, including precision and r...

Imperfect-recall abstraction has emerged as the leading paradigm for practical large-scale equilibrium computation in incomplete-information games. However, imperfect-recall abstractions are poorly understood, and only weak algorithm-specific guarantees on solution quality are known. In this paper, we show the first general, algorithm-agnostic, solution quality guarantees for Nash equilibria an...

Counterfactual Regret Minimization (CFR) is an efficient no-regret learning algorithm for decision problems modeled as extensive games. CFR’s regret bounds depend on the requirement of perfect recall: players always remember information that was revealed to them and the order in which it was revealed. In games without perfect recall, however, CFR’s guarantees do not apply. In this paper, we pre...

Given a game in extensive form and a player p in the game, we want to find a small set of parameters describing a set M of mixed strategies with the property that every mixed strategy for p has an equivalent mixed strategy in M. In the case that the player has perfect recall, behavioral strategies describe such a set. [2] For computational purposes, it is more useful to work with corresponding ...

Extensive-form games are an important model of finite sequential interaction between players. The size of the extensive-form representation is, however, often prohibitive and it is the most common cause preventing deployment of game-theoretic solution concepts to real-world scenarios. The state-of-the-art approach to solve this issue is the information abstraction methodology. The information a...

Although the majority of research on human memory has concentrated on a person's ability to recall or recognize items as having been presented in a particular situation, the effects of memory are also revealed in a person's performance of a perceptual task. Prior experience with material can make that material more easily identified or comprehended in perceptually difficult situations. Unlike w...