Bayesian advocates of expected utility maximization use sets of probability distributions to represent very different ideas. Strict Bayesians insist that probability judgment is n...
We present a computation-centric theory of memory models. Unlike traditional processor-centric models, computation-centric models focus on the logical dependencies among instructi...
Abstract. Autonomous agents decide for themselves, on the basis of their beliefs, goals, etc., how to act in an environment. However, it is often the case that an agent is motivate...
In this paper we show how to traverse a subdivision and to report all cells, edges and vertices, without making use of mark bits in the structure or a stack. We do this by perform...
In this paper we examine the current computer science curriculum in elementary schools and identify its shortcomings. We then presents a new approach to teaching computer science ...