Abstract. Bayesian nets (BNs) appeared in the 1980s as a solution to computational and representational problems encountered in knowledge representation of uncertain information. S...
The standard approach in AI to knowledge representation is to represent an agent's knowledge symbolically as a collection of formulas, which we can view as aknowledge base. A...
Ronald Fagin, Joseph Y. Halpern, Yoram Moses, Mosh...
Supermarkets lose millions of pounds every year through lost trading and stock wastage caused by the failure of refrigerated cabinets. Therefore, a huge commercial market exists fo...
This theory on semi-equivalence r e l a t i o n s is an important and useful tool for i n v e s t i g a t i n g c l a s s i f i c a t i o n , pattern r e c o g n i t i o n , p o l...
AI planning solves the problem of generating a correct and efficient ordered set of instantiated activities, from a knowledge base of generic actions, which when executed will tra...