Argumentation: A calculus for Human-Centric AI
Emmanuelle Dietz, Antonis Kakas, Loizos Michael
Abstract
This paper aims to expose and analyze the potential foundational role of Argumentation for Human-Centric AI, and to present the main challenges for this foundational role to be realized in a way that will fit well with the wider requirements and challenges of Human-Centric AI. The central idea set forward is that by endowing machines with the ability to argue with forms of machine argumentation that are cognitively compatible with those of human argumentation, we will be able to support a naturally effective, enhancing and ethical human-machine cooperation and "social" integration.
Topics & Concepts
Argumentation theoryComputer scienceSet (abstract data type)EpistemologyArgumentation frameworkHuman–machine systemArtificial intelligenceCognitive scienceManagement scienceData sciencePsychologyEngineeringProgramming languagePhilosophyMulti-Agent Systems and NegotiationLogic, Reasoning, and KnowledgeAI-based Problem Solving and Planning