Logic and Conversation in Artificial Minds: Humanoids and Grice's Cooperative Principle

Abstract

The objective of this research was to explore the linguistic performance of two humanoids: Sophia and Ameca in conversation during humanoid-human interaction in two different interviews. Gricean Cooperative Principles as theoretical framework directed the study to identify the performance of humanoids and their adherence and flouting of the maxim of quality, quantity, manner, and relevance. Eight dialogues are taken to study the conversational implicature with four dialogues for each humanoid. By analyzing AI-driven conversational models, this paper examines how logic-based programming aligns with or deviates from human pragmatic norms and investigates whether AI’s linguistic responses exhibit pragmatic competence or merely mimic cooperative communication through statistical probabilities. The findings contribute to the discourse on human-AI interaction, highlighting the potential and limitations of artificial conversational agents in achieving truly cooperative communication. The study stresses the need for advancing AI pragmatics to foster natural and contextually appropriate dialogue between humans and humanoid entities.