We are developing artiicial intelligence programs that model qualitative business decision making, using both goal-based and case-based reasoning. In this paper, we describe current work in three related areas: normative business goals and beliefs, qualitative business calculus, and belief representation. Overview We are developing artiicial intelligence programs that incorporate goal-based rea...

Musical abilities and active engagement with music have been shown to be positively associated with many cognitive abilities as well as social skills and academic performance in secondary school students. While there is evidence from intervention studies that musical training can be a cause of these positive relationships, recent findings in the literature have suggested that other factors, suc...

The study of the mathematical aspects of belief formation, information processing and rational belief change is of central importance in a number of different fields, namely artificial intelligence, computer science, game theory, logic, philosophy and psychology. The area of belief change studies how a rational agent may maintain its beliefs about a possibly changing environment after obtaining...

The global economy and organizations are evolving to become service-oriented. There have recently been more and more research works on services provision, particularly with a cross-disciplinary approach. Beyond the Services Oriented Architecture (SOA), intelligence in computing is essential to achieve service excellence for the ever complicating requirements in the rapidly evolving global envir...

Interacting with intelligence in an ever-changing environment calls for exceptional performances from artificial beings. One mechanism explored to produce intuitive-like behavior in artificial intelligence applications is emotion. This chapter examines the engineering of a mechanism that synthesizes and processes an artificial agent’s internal emotional states: the Affective Space. Through use ...

1 I n t r o d u c t i o n In areas such as artificial intelligence or distributed systems, there has been considerable interest in agents with perfect introspection, that is, agents, who know everything they know and if they don't know something, then they know that they don't know it. For example, the so-called autoepistemic logics developed in artificial intelligence use introspection to mode...

Because numerous studies have shown that feelings of encoding fluency are positively correlated with judgments of learning, a single dominant heuristic, easily learned = easily remembered (ELER), has been posited to explain how people interpret encoding fluency when assessing their own memory. However, the inferences people draw from feelings of encoding fluency may vary with their beliefs abou...

7. Introduction LI, Representation of beliefs OUR MODEL OF belief wil l be a simple one. A belief is represented by a sentence in some (regimented) language. Research done in Art if icial Intelligence has recently lead to a revival of the logic of belief. It was felt that a clear distinction should be drawn between the explicit and the implicit beliefs of a reasoner [15, 19]. The former ones ar...