Behavioral game theory models are important in organizing experimental data of strategic decision making. However, are subjects classified as behavioral types more predictable than unclassified subjects? Alternatively, how many predictable subjects await new behavioral models to describe them? In our experiments, subjects play simple guessing games against random opponents and are subsequently ...

We introduce some modifications to the widely deployed Kerberos authentication protocol. The principle’s secretkey will be independent of the user password to overcome the weak passwords chosen by the network principal that are susceptible to password guessing attacks, the main drawback of the Kerberos protocol. Instead, the Kerberos Distribution Center saves a profile for every instance in its...

Recently, Das, Saxena and Gulati proposed a dynamic Id based remote user authentication scheme that allows the users to choose and change their passwords freely and does not maintain verifier table. But their scheme has few weaknesses and cannot achieve mutual authentication. In 2005, Liao, Lee and Hwang showed that Das et al. scheme is vulnerable to guessing attack and proposed an enhanced sch...

Case Based Reasoning is a feasible approach for recognizing and predicting behavior of agents within the RoboCup domain. Using the method described here, on average 98.4 percent of all situations within a game of virtual robotic soccer have been successfully classified as part of a behavior pattern. Based on the assumption that similar triggering situations lead to similar behavior patterns, a ...

We consider the problem of inferring an ancestral state from observations at the leaves of a tree, assuming the state evolves along the tree according to a two-state symmetric Markov process. We establish a general branching rate condition under which maximum parsimony, a common reconstruction method requiring only the knowledge of the tree, succeeds better than random guessing uniformly in the...