Logic programming has some drawbacks and limitations that make it computationally expensive, non-deterministic, and hard to debug. It requires a lot of memory and processing power to perform ...

In Proceedings of the International Symposium on Logic-based Program Synthesis and Transformation. Springer LNCS 3901, 2005, 6 22. 8. Antoy, S. and Hanus, M. Overlapping rules and logic variables in ...

The graph below shows the total number of publications each year in Knowledge Representation and Reasoning in Logic Programming. References [1] Forgetting auxiliary atoms in forks .

Several recent approaches have proposed to change the role of the LLM from the reasoner into a translator between natural language statements and symbolic representations which are then sent to ...

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This paper presents a method for the optimal synthesis of combinational and sequential circuits implemented by two-level logic macros, such as programmable logic arrays. Optimization consists of ...

Probabilistic logic programming is at the intersection of two wider research fields: the integration of logic and probability and probabilistic programming. Logic enables the representation of complex ...

The second module, the RecursiveReverse-Recursive Neural Network (R3NN), given the continuous representation of the examples, synthesizes a program by incrementally expanding partial programs. We ...