Machine Learning Methods for Commonsense Reasoning Processes

Interactive Models

Xenia Naidenova (Autor)

Buch | Hardcover

312 Seiten

2009
Information Science Reference (Verlag)
9781605668109 (ISBN)

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The reduction of machine learning algorithms to commonsense reasoning processes is now possible due to the reformulation of machine learning problems as searching the best approximation of a given classification on a given set of examples. Machine Learning Methods for Commonsense Reasoning Processes: Interactive Models provides a unique view on classification as a key to human commonsense reasoning and transforms traditional considerations of data and knowledge communications. Containing leading research evolved from international investigations, this book presents an effective classification of logical rules used in the modeling of commonsense reasoning.

Artificial intelligence Commonsense reasoning Coordination of commonsense reasoning operations Expert system generation Deductive-inductive commonsense reasoning Human commonsense reasoning processes Knowledge in the psychology of thinking Machine learning Modeling conceptual reasoning Object-oriented technology Psycho-diagnostic systems generation Reasoning in intelligent computer systems

Erscheint lt. Verlag	25.4.2011
Zusatzinfo	Illustrations
Verlagsort	Hershey
Sprache	englisch
Gewicht	1506 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
ISBN-13	9781605668109 / 9781605668109
Zustand	Neuware