Abstract
This tutorial examines the role of Computational Argumentation at the theoretical and practical level of Human-centric AI. It rests on the central role that argumentation has in human cognition rendering argumentation as a possible foundation for the two basic elements of intelligence, namely learning and reasoning, in a way that is suitable for human-centric AI. The tutorial examines argumentation as a basis for cognitive technologies of Learning and Explainable Inference or Decision Making and their application in today’s AI.
Tutorial at the HUMANE-AI NET advanced course 2021 on Human Centered AI.
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Notes
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Alternatively, the notion or terminology of a defeating attack is used instead to express that an attack is strong enough to defeat the argument that it is attacking.
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We are not looking here for an explanation of the subconscious operation of the brain to reach this conclusion, but for an explanation at a high cognitive level that would also be helpful to some other process that would act on our conclusion.
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Indeed, this attacks the link of \( arg _2\) not its claim or premises. There is no general conflict between \( No \_ electricity \_ at \_ T \) and \( Room \_ illuminated \_ at \_ T \) as the room can be illuminated in other ways.
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Initially, the framework of GORGIAS had the name LPwNF : Logic Programming without Negation as failure.
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As we will see in Sect. 5 of the tutorial, it is not necessary to work at this internal level of GORGIAS when developing applications.
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These are arguments whose premises are empty but are generally weaker than any conflicting argument grounded on some given premises.
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“Hal, a diabetic, loses his insulin in an accident through no fault of his own. Before collapsing into a coma he rushes to the house of Carla, another diabetic. She is not at home, but Hal enters her house and uses some of her insulin. Was Hal justified, and does Carla have a right to compensation?”.
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For more information on the activation function see e.g., http://act-r.psy.cmu.edu/wordpress/wp-content/themes/ACT-R/tutorials/unit5.htm.
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Dietz, E., Kakas, A., Michael, L. (2023). Computational Argumentation & Cognitive AI. In: Chetouani, M., Dignum, V., Lukowicz, P., Sierra, C. (eds) Human-Centered Artificial Intelligence. ACAI 2021. Lecture Notes in Computer Science(), vol 13500. Springer, Cham. https://doi.org/10.1007/978-3-031-24349-3_19
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