Abstract: We present a novel framework that integrates Large Language Models (LLMs) with automated planning and formal verification to streamline the creation and use of Markov Decision Processes (MDP ...

ABLkit is an efficient Python toolkit for Abductive Learning (ABL). ABL is a novel paradigm that integrates machine learning and logical reasoning in a unified framework. It is suitable for tasks ...

Long before experimental psychology, religious writers, orators, and playwrights described examples of lie detection based on the verbal content of statements. Legal scholars collected evidence from ...

Data-driven approaches are becoming increasingly common as problem-solving tools in many areas of science and technology. In most cases, machine learning models are the key component of these ...

The rapid advance of technology has resulted in CPA firms hiring more nonaccounting graduates in order to integrate new tools into their practice. For example, one national firm leader reported that ...

Logicmoo Event Calc -- A SWI-Prolog Pack that lets Prolog code seamlessly use planners speaking LPS, Decreasoner EventCalc, PDDLish and OCLh NOTICE: This is a work in progress and is being updated ...

Abstract: A knowledge-based system to support software design is presented. The knowledge-based system consists of a frame-and-rule oriented requirements language (FRORL), a knowledge base, an ...