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Your search keyword '"Tona, G"' showing total 12 results
Start Over Author "Tona, G" Publisher elsevier bv
12 results on '"Tona, G"'

6. OC.03.2 THE PRESENCE OF WHITE MATTER LESIONS IS ASSOCIATED WITH THE HISTOLOGICAL SEVERITY OF NON-ALCOHOLIC FATTY LIVER DISEASE

Author

Petta, S., primary, Tuttolomondo, A., additional, Gagliardo, C., additional, Zafonte, R., additional, Brancatelli, G., additional, Cabibi, D., additional, Camma, C., additional, Della Corte, V., additional, Di Marco, V., additional, Galvano, L., additional, La Tona, G., additional, Licata, A., additional, Magliozzo, F., additional, Maida, C., additional, Marchesini, G., additional, Merlino, G., additional, Midiri, M., additional, Parrinello, G., additional, Torres, D., additional, Pinto, A., additional, and Craxi, A., additional

Published
2016
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7. The presence of white matter lesions is associated with the histological severity of non-alcoholic fatty liver disease

Author

Petta, S., primary, Tutolomondo, A., additional, Gagliardo, C., additional, Zafonte, R., additional, Brancatelli, G., additional, Cabibi, D., additional, Cammà, C., additional, Di Marco, V., additional, Galvano, L., additional, Licata, A., additional, Magliozzo, F., additional, Marchesini, G., additional, Merlino, G., additional, Parrinello, G., additional, La Tona, G., additional, Torres, D., additional, Midiri, M., additional, Pinto, A., additional, and Craxì, A., additional

Published
2015
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12. An architecture for observational learning and decision making based on internal models

Author

Kristinn R. Thórisson, Eric Nivel, Haris Dindo, Antonio Chella, Giuseppe La Tona, Dindo, H, Nivel, E, La Tona, G, Chella, A, and Thórisson, K

Subjects
Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni, Cognitive science, Computer science, Cognitive Neuroscience, Agency (philosophy), Experimental and Cognitive Psychology, Cognition, Cognitive architecture, Cognitive neuroscience, Action (philosophy), Artificial Intelligence, Anticipation (artificial intelligence), Situated, anticipation,cognitive architecture,imitation learning,internal models,simulation, Observational learning
Abstract

We present a cognitive architecture whose main constituents are allowed to grow through a situated experience in the world. Such an architectural growth is bootstrapped from a minimal initial knowledge and the architecture itself is built around the biologically-inspired notion of internal models. The key idea, supported by findings in cognitive neuroscience, is that the same internal models used in overt goal-directed action execution can be covertly re-enacted in simulation to provide a unifying explanation to a number of apparently unrelated individual and social phenomena, such as state estimation, action and intention understanding, imitation learning and mindreading. Thus, rather than reasoning over abstract symbols, we rely on the biologically plausible processes firmly grounded in the actual sensorimotor experience of the agent. The article describes how such internal models are learned in the first place, either through individual experience or by observing and imitating other skilled agents, and how they are used in action planning and execution. Furthermore, we explain how the architecture continuously adapts its internal agency and how increasingly complex cognitive phenomena, such as continuous learning, prediction and anticipation, result from an interplay of simpler principles. We describe an early evaluation of our approach in a classical AI problem-solving domain: the Sokoban puzzle.

Published
2013
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