Presenting the #affectivecomputing & recommendation system DEGARI (Dynamic #Emotion Generator And ReclassIfier) in the SPICE project in Haifa.

DEGARI employs the TCL reasoning framework (https://www.antoniolieto.net/tcl_logic.html) to generate complex emotions and uses them to classify and to recommend museum items

References:

[1] https://www.sciencedirect.com/science/article/pii/S0950705121004299
[2] DEGARI 2.0 https://doi.org/10.1016/j.cogsys.2022.10.001

#emotionreasoning #artificialintelligence #explainableai #commonsensereasoning

Lieto, A., Lebiere, C., & Oltramari, A. (2018). The knowledge level in cognitive architectures: Current limitations and possible developments. Cognitive Systems Research, 48, 39-55.

https://www.sciencedirect.com/science/article/pii/S1389041716302121

#knowledgerepresentation #knowledgeprocessing #cognitivearchitectures #cognitivesystems #ArtificialIntelligence #AI #computationalcognitivescience #commonsensereasoning #cognitivesystems #cognitivemodelling

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