Go is an ancient oriental game whose complexity has defeated attempts to automate it. We suggest using probability in a Bayesian sense to model the uncertainty arising from the va...
We argue that artificial intelligence systems must be able to manipulate their own internal representations automatically in order to deal with an infinitely complex and ever chan...
In this paper, we propose an efficient mechanism dealing with trust assessment for agent societies, aiming to accurately assess the trustworthiness of the collaborating agents. I...
Bayesian networks are indispensable for determining the probability of events which are influenced by various components. Bayesian probabilities encode degrees of belief about ce...
Investments in innovative technologies face uncertainties and are often made in stages. We develop a multi-period game-theoretical model where the potential of a new technology is...