Artificial intelligence (AI) still lacks human capabilities, like adaptability, generalizability, self-control, consistency, common sense, and causal reasoning. Humans achieve some of these capabilities by carefully combining their thinking “fast” and “slow”. In this work we define an AI architecture that embeds these two modalities, and we study the role of a “meta-cognitive” component, with the role of coordinating and combining them, in achieving higher quality decisions.
Thinking Fast and Slow in AI: The Role of Metacognition
Loreggia A.;
2023-01-01
Abstract
Artificial intelligence (AI) still lacks human capabilities, like adaptability, generalizability, self-control, consistency, common sense, and causal reasoning. Humans achieve some of these capabilities by carefully combining their thinking “fast” and “slow”. In this work we define an AI architecture that embeds these two modalities, and we study the role of a “meta-cognitive” component, with the role of coordinating and combining them, in achieving higher quality decisions.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
