Finite Base Contraction and Expansion via Models - The ALC case

From International Center for Computational Logic

Finite Base Contraction and Expansion via Models - The ALC case

Talk by Ana Ozaki
We propose a new paradigm for Belief Change in which the new information is represented as sets of models, while the agent’s body of knowledge is represented as a finite set of formulae, that is, a finite base. The focus on finiteness is crucial

when we consider limited agents and reasoning algorithms. Moreover, having the input as arbitrary set of models is more general than the usual treatment of formulae as input. In this setting, we define new Belief Change operations akin to traditional expansion and contraction, and we identify the rationality postulates that emerge due to the finite representability requirement. We also analyse different logics concerning compatibility with our framework. In this talk, I will focus on the ALC description logic.

The talk will take place in a hybrid fashion, physically in the seminar room, and online through the link:

https://bbb.tu-dresden.de/b/ali-zgz-l8d-52n