Utvidet returrett til 31. januar 2024

Bøker i SpringerBriefs in Cognition-serien

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  • - Remembering to Remember, Remembering to Forget
    av Anna-Lisa Cohen
    728,-

    This Brief offers a comprehensive and up-to-date overview of the current developments in the field of prospective memory, or memory for delayed intentions. It explores several key areas in prospective memory research, including computational modeling, neuroscience and prospective memory, output monitoring, and implementation intentions.

  • - The "Operationalization" of Bateson's Conjecture on Cognition
    av Piero Mella
    631,-

    This brief presents an overview of Gregory BatesonΓÇÖs Constructivist method of Cognition. Bateson proposes a theory of cognition that is based on the abstract notion of difference that the mind distinguishes and perceives and represents information that constitutes and separates how different states are ordered, grouped, and classified. Bateson, however, does not clearly indicate how a cognitive system can develop a knowledge of reality from the perception of these differences. This book seeks to offer a scientific approach to Constructivism. Using BatesonΓÇÖs hypothesis, chapters discuss how our mind distinguishes and elaborates differences, allowing us to form perceptions of objects, and how these objects can be described and compared. Chapters also discuss how from differences, it is possible to construct concepts or ideas of how these can be defined and how to derive from these differences the meanings of the signs used for the structuring of languages.  The brief offers a coherent structure of propositions that form an interpretative theory of the modus operandi of the human mind, which will be useful not only in shedding light on our cognitive processes, but also in laying the formal groundwork for artificial intelligence.Constructing Reality is a must-have resource for researchers and students of the cognitive sciences, as well as education sciences, and researchers and scholars of artificial intelligence, learning theory, and intelligent automata programming.

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