In the attempt to implement applications of public utility which simplify the user access to future, remote and nearby social services, new mathematical models and new psychological and computational approaches from existing cognitive frameworks and algorithmic solutions have been developed. The nature of these instruments is either deterministic, probabilistic, or both. Their use depends upon their contribute to the conception of new ICT functionalities and evaluation methods for modelling concepts of learning, reasoning, and data interpretation. This introductory chapter provide a brief overview on the theoretical and computational issues of such artificial intelligent methods and how they are applied to several research problems. © Springer International Publishing Switzerland 2016.
Some notes on computational and theoretical issues in artificial intelligence and machine learning / Esposito, Anna; Bassis, Simone; Morabito, Francesco Carlo; Pasero, EROS GIAN ALESSANDRO (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES). - In: Smart Innovation, Systems and Technologies / Bassis Simone, Esposito Anna, Morabito Francesco Carlo, Pasero Eros. - [s.l] : Springer Science and Business Media Deutschland GmbH, 2016. - ISBN 9783319337463. - pp. 3-12 [10.1007/978-3-319-33747-0_1]
Some notes on computational and theoretical issues in artificial intelligence and machine learning
PASERO, EROS GIAN ALESSANDRO
2016
Abstract
In the attempt to implement applications of public utility which simplify the user access to future, remote and nearby social services, new mathematical models and new psychological and computational approaches from existing cognitive frameworks and algorithmic solutions have been developed. The nature of these instruments is either deterministic, probabilistic, or both. Their use depends upon their contribute to the conception of new ICT functionalities and evaluation methods for modelling concepts of learning, reasoning, and data interpretation. This introductory chapter provide a brief overview on the theoretical and computational issues of such artificial intelligent methods and how they are applied to several research problems. © Springer International Publishing Switzerland 2016.Pubblicazioni consigliate
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https://hdl.handle.net/11583/2676142
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