ON FOUNDATIONS.

Foundations of Bayesianism A Note on Foundations of Bayesianism

We discuss the justifications of Bayesianism by Cox and Jaynes, and relate them to a recent critique by Halpern(JAIR, vol 10(1999), pp 67–85). We show that a problem with Halperns example is that a finite and natural refinement of the model leads to inconsistencies, and that the same is the case with every model in which rescalability to probability cannot be done. We also discuss other problem...

On the Foundations of Quasigroups

Remarks on foundations of physics

A simple scheme for ordering the facts of physics is presented, and some terms associated with basic research are introduced. Some aspects of this research are discussed and an outline of a simple model as an example of a working hypothesis for explaining the known facts is proposed.

On the Foundations of Happiness

We model happiness as an evolutionary instrument designed to motivate the individual towards seeking evolutionarily desirable goals. We assume that happiness is scarce as an incentive instrument, implying that an optimal happiness function will incorporate all the information that is valuable in terms of assessing the effort exerted by the individual. The model provides a formal means to accoun...

On the Probabilistic Foundations of

Why are probabilistic roadmap (PRM) planners “probabilistic”? This paper tries to establish the probabilistic foundations of PRM planning and reexamines previous work in this context. It shows that the success of PRM planning depends mainly and critically on the assumption that the configuration space C of a robot often verifies favorable “visibility” properties that are not directly dependent ...