Uncertain reasoning at FLAIRS

Combining Uncertain Belief Reasoning and Uncertain Metaphor-Based Reasoning

An implemented AI reasoning system called ATT-Meta is sketched. It addresses not only AI issues but also ones that are salient in psychology, philosophy, cognitive linguistics, discourse pragmatics and other disciplines. These issues include the Simulation-Theory/Theory-Theory debate and Fauconnier and Turner’s notion of conceptual blending. The system performs metaphor-based reasoning and reas...

Reasoning about Uncertain Domains

Reasoning with uncertain categories

Five experiments investigated how people use categories to make inductions about objects whose categorisation is uncertain. Normatively, they should consider all the categories the object might be in and use a weighted combination of information from all the categories: bet-hedging. The experiments presented people with simple, artificial categories and asked them to make an induction about a n...

Reasoning about Uncertain

In this paper, we study behaviour descriptions with uncertain information such as \the probability of a system failure within a given time period is less than or equal to 0:3" in terms of process algebras. Typical systems that may show such behaviours include communicating systems with unreliable components, e.g. faulty medium. We present a process model for such behaviours, in which uncertain ...

Uncertain Reasoning and Forecasting

We develop a probability forecasting model through a synthesis of Bayesian beliefnetwork models and classical time-series analysis. By casting Bayesian time-series analyses as temporal belief-network problems, we introduce dependency models that capture richer and more realistic models of dynamic dependencies. With richer models and associated computational methods, we can move beyond the rigid...