Mastodawn

Antonio Lieto Nov 9, 2022

Since most of my contacts on #mastodon are different from the ones I had on other socials (by the way: nice to meet you all!), here are some #highlights about my research that could be of interest:

H1: in the context of #KR & #Reasoning I have worked on cognitively-inspired models of #categorization integrating prototypes, exemplars and theory-theory views by using "Heterotegeneous Proxytypes Hypothesis". Such framework has led to the development of the DUAL-PECCS system https://www.tandfonline.com/doi/abs/10.1080/0952813X.2016.1198934?journalCode=teta20

Dual PECCS: a cognitive system for conceptual representation and categorization

In this article we present an advanced version of Dual-PECCS, a cognitively-inspired knowledge representation and reasoning system aimed at extending the capabilities of artificial systems in conce...

Taylor & Francis

Show thread

Antonio Lieto

H2: I have also dealt with the problem of #commonsensereasoning by proposing, with G. Pozzato, the #logic TCL (typicality-based compositional logic) the first logic-based account able to model - with a unique formalism - the problem of both human-like NOUN-NOUN commonsense conceptual combination & the one of #conceptualblending. TCL has been applied to applications ranging from #cognitivemodelling to #computationalcreativity & #recommendersystems.

Info @: https://www.antoniolieto.net/tcl_logic.htm

Show thread

Antonio Lieto Nov 9, 2022

H3: In the context of #cognitiveAI, #computationalcognitivescience, I have proposed the "Minimal Cognitive Grid" a pragmatic method to quantitatively and qualitatively rank the different degrees of biological and #cognitiveplausibility of artificial systems in order to project and predict their explanatory power with respect to the natural systems taken as a source of inspiration.

The idea was introduced in the book "Cognitive Design for Artificial Minds":

http://routledge.pub/AntonioLieto

Cognitive Design for Artificial Minds

Cognitive Design for Artificial Minds explains the crucial role that human cognition research plays in the design and realization of artificial intelligence systems, illustrating the steps necessary for the design of artificial models of cognition. It bridges the gap between the theoretical, experimental, and technological issues addressed in the context of AI of cognitive inspiration and computational cognitive science. Beginning with an overview of the historical, methodological, and technica

Routledge & CRC Press

Show thread

Antonio Lieto Nov 9, 2022

Overall, in my entire research I have always been interested in the epistemological loop (see picture below) that cognitively-inspired #AI systems can provide to better understand how our brain and mind works.
My current interest is concerned with the implications of the application of #languagemodels as semantic memories of #cognitivearchitectures