Neuro-symbolic AI is an emerging subfield of Artificial Intelligence that brings together two
hitherto distinct approaches.” Neuro” refers to the artificial neural networks prominent in …

Rational choice theory enjoys unprecedented popularity and influence in the behavioral and
social sciences, but it generates intractable problems when applied to socially interactive …

Reasoning is a fundamental aspect of human intelligence that plays a crucial role in
activities such as problem solving, decision making, and critical thinking. In recent years …

In this paper, we introduce the Tree-of-Thought (ToT) framework, a novel approach aimed at
improving the problem-solving capabilities of auto-regressive large language models …

Abstract Current advances in Artificial Intelligence (AI) and Machine Learning have achieved
unprecedented impact across research communities and industry. Nevertheless, concerns …

1.1 Background Modern Artificial Intelligence (AI) research began in the mid-1950s [1].
Mainstream AI scientists focused on the narrow AI research which usually aims to solve a …

The study and understanding of human behaviour is relevant to computer science, artificial
intelligence, neural computation, cognitive science, philosophy, psychology, and several …

The emergent few-shot reasoning capabilities of Large Language Models (LLMs) have
excited the natural language and machine learning community over recent years. Despite of …

Background: Communication is a core competency of medical professionals and of utmost
importance for patient safety. Although medical curricula emphasize communication training …

A new approach for defining causality and such related notions as degree of responsibility,
degrees of blame, and causal explanation. Causality plays a central role in the way people …