We describe a method for learning formulas in firstorder logic using a brute-force, smallest-first search. The method is exceedingly simple. It generates all irreducible well-form...
We develop a revealed-preferencetheory for multiple agents. Some features of our construction, which draws heavily on Jeffrey's utility theory and on formal constructions by D...
ID-logic uses ideas from the field of logic programming to extend second order logic with non-monotone inductive defintions. In this work, we reformulate the semantics of this lo...
Preferences are useful when the space of feasible solutions of a given problem is dense but not all these solutions are equivalent w.r.t. some additional requirements. In this case...
Claudia Zepeda, Mauricio Osorio, Juan Carlos Nieve...
We show how edge-labelled graphs can be used to represent first-order logic formulae. This gives rise to recursively nested structures, in which each level of nesting corresponds ...