For about three decades, artificial intelligence has been concerned with a debate on the adequacy of probability for treating uncertainty. The transferable belief model is an alternative framework that resulted from that debate. The peculiarity of the transferable belief model is its dichotomical structure in which a non-Bayesian knowledge representation co-exists with a Bayesian de-

We discuss the Dempster-Shafer theory of evidence. We introduce a concept of monotonicity which is related to the diminution of the range between belief and plausibility. We show that the accumulation of knowledge in this framework exhibits a nonmonotonic property. We show how the belief structure can be used to represent typical or commonsense knowledge.

We show how different kinds of belief operators derived from preferences can be defined in terms an accessibility relation of epistemic priority, and characterized by means of a vector of nested accessibility relations. The semantic structure enable us to compare and reconcile certain non-standard notions of belief that have recently been used in epistemic analyses of games.

In this paper, I discuss whether different interpretations of the aim belief – both teleological and normative have resources to explain certain descriptive features suspended belief, or suspension. argue that despite recent efforts theorists extend these theories account for suspension, they ultimately fail. The implication is we must either develop alternative can abandon assumption ought be ...

This paper describes RISO, an implementation of distributed belief network software. Distributed belief networks are a natural extension of ordinary belief networks in which the belief network is composed of subnetworks running on separate processors. In keeping with the distributed computational model, no single processor has information about the structure of the entire distributed belief net...

A type structure is non-redundant if no two types of a player represent the same hierarchy of belief over the given set of basic uncertainties, and it is redundant otherwise. Under a mild assumption (which is both necessary and su¢ cient), we show that any redundant structure can be identi…ed with a non-redundant structure with an extended space of basic uncertainties. The belief hierarchies in...

This paper extends the theory of belief functions by introducing new concepts and techniques, allowing to model the situation in which the beliefs held by a rational agent may only be expressed (or are only known) with some imprecision. Central to our approach is the concept of intervalvalued belief structure, defined as a set of belief structures verifying certain constraints. Starting from th...

Looking back the history of formal treatment of linguistics, we cannot disregard the contribution of possible world semantics. Intensional logic of Montague semantics, DRT (Discourse Representation Theory), mental space, and situation theory are closely related to or compared with the notion of possible world. All these theories have commonly clarified the structure of belief context or uncerta...

The fuzzy belief Petri net we propose in this paper propagates fuzzy beliefs from observations at nodes that represent measured parameters to fuzzy beliefs of the truths of parameters at hidden and decision nodes. The fuzzy influences spread from the observation nodes throughout our new enhanced bidirectional fuzzy belief Petri net. Compared with Bayesian belief networks, it is simpler and fast...