A Core Method for the Weak Completion Semantics with Skeptical Abduction (Extended Abstract)

A Core Method for the Weak Completion Semantics with Skeptical Abduction (Extended Abstract)

Emmanuelle-Anna Dietz Saldanha, Steffen Hölldobler, Carroline Dewi Puspa Kencana Ramli, Luis Palacios Medinacelli

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence
Journal track. Pages 6358-6361. https://doi.org/10.24963/ijcai.2019/887

The Weak Completion Semantics is a novel cognitive theory which has been successfully applied -- among others -- to the suppression task, the selection task and syllogistic reasoning. It is based on logic programming with skeptical abduction. Each weakly completed program admits a least model under the three-valued Lukasiewicz logic which can be computed as the least fixed point of an appropriate semantic operator. The operator can be represented by a three-layer feed-forward network using the Core method. Its least fixed point is the unique stable state of a recursive network which is obtained from the three-layer feed-forward core by mapping the activation of the output layer back to the input layer. The recursive network is embedded into a novel network to compute skeptical abduction. This extended abstract outlines a fully connectionist realization of the Weak Completion Semantics.
Keywords:
Knowledge Representation and Reasoning: Logics for Knowledge Representation
Humans and AI: Cognitive Modeling