The paper focuses on two pivotal cognitive functions of both natural and AI agents, namely classification and identification. Inspired from the theory of teleosemantics, itself based on neuroscientific results, we show that these two functions are complementary and rely on distinct forms of knowledge representation. We provide a new perspective on well-known AI techniques by categorising them as either classificational or identificational. Our proposed Teleo-KR architecture provides a high-level framework for combining the two functions within a single AI system. As validation and demonstration on a concrete application, we provide experiments on the large-scale reuse of classificational (ontological) knowledge for the purposes of learning-based schema identification.

Towards understanding classification and identification / Fumagalli, Mattia; Bella, Gá́bor; Giunchiglia, Fausto. - 11670:(2019), pp. 71-84. ((Intervento presentato al convegno PRICAI 2019 tenutosi a Cuvu, Yanuca Island, Fiji nel 26th-30th August 2019 [10.1007/978-3-030-29908-8_6].

Towards understanding classification and identification

Fumagalli, Mattia;Bella, Gá́bor;Giunchiglia, Fausto
2019

Abstract

The paper focuses on two pivotal cognitive functions of both natural and AI agents, namely classification and identification. Inspired from the theory of teleosemantics, itself based on neuroscientific results, we show that these two functions are complementary and rely on distinct forms of knowledge representation. We provide a new perspective on well-known AI techniques by categorising them as either classificational or identificational. Our proposed Teleo-KR architecture provides a high-level framework for combining the two functions within a single AI system. As validation and demonstration on a concrete application, we provide experiments on the large-scale reuse of classificational (ontological) knowledge for the purposes of learning-based schema identification.
Trends in Artificial Intelligence: 16th Pacific Rim International Conference on Artificial Intelligence: Proceedings Part 1
Cham, CH
Springer Verlag
978-3-030-29907-1
978-3-030-29908-8
Fumagalli, Mattia; Bella, Gá́bor; Giunchiglia, Fausto
Towards understanding classification and identification / Fumagalli, Mattia; Bella, Gá́bor; Giunchiglia, Fausto. - 11670:(2019), pp. 71-84. ((Intervento presentato al convegno PRICAI 2019 tenutosi a Cuvu, Yanuca Island, Fiji nel 26th-30th August 2019 [10.1007/978-3-030-29908-8_6].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11572/313138
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