A unified framework for representing logic program updates
Yan Zhang, Norman Foo · 2005
As a promising formulation to represent and reason about agents ’ dynamic behavious, logic program updates have been considerably studied recently. While similarities and differences between various approaches were discussed and evaluated by researchers, there is a lack of method to represent different logic program update approaches under a common framework. In this paper, we continue our study on a general framework for logic program conflict solving based on notions of strong and weak forgettings (Zhang, Foo, & Wang 2005). We show that all major logic program update approaches can be transformed into our framework, under which each update approach becomes a specific conflict solving case with certain constraints. We also investigate related computational properties for these transformations.