Joint Tabling of Logic Program Abductions and Updates
This work addresses problems in areas like diagnosis and decision-making for AI researchers, but it is incremental as it builds on prior implementation techniques.
The paper tackles the integration of abductive logic programs and logic program updates to handle hypothetical reasoning about change, resulting in a prototype system implemented in XSB Prolog.
Abductive logic programs offer a formalism to declaratively represent and reason about problems in a variety of areas: diagnosis, decision making, hypothetical reasoning, etc. On the other hand, logic program updates allow us to express knowledge changes, be they internal (or self) and external (or world) changes. Abductive logic programs and logic program updates thus naturally coexist in problems that are susceptible to hypothetical reasoning about change. Taking this as a motivation, in this paper we integrate abductive logic programs and logic program updates by jointly exploiting tabling features of logic programming. The integration is based on and benefits from the two implementation techniques we separately devised previously, viz., tabled abduction and incremental tabling for query-driven propagation of logic program updates. A prototype of the integrated system is implemented in XSB Prolog.