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Engineering General Intelligence, Part 1 : A Path to Advanced AGI via Embodied Learning and Cognitive Synergy / / by Ben Goertzel, Cassio Pennachin, Nil Geisweiller



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Autore: Goertzel Ben Visualizza persona
Titolo: Engineering General Intelligence, Part 1 : A Path to Advanced AGI via Embodied Learning and Cognitive Synergy / / by Ben Goertzel, Cassio Pennachin, Nil Geisweiller Visualizza cluster
Pubblicazione: Paris : , : Atlantis Press : , : Imprint : Atlantis Press, , 2014
Edizione: 1st ed. 2014.
Descrizione fisica: 1 online resource (418 p.)
Disciplina: 006.3
Soggetto topico: Artificial intelligence
Computational intelligence
Computational complexity
Neurosciences
Neural networks (Computer science) 
Artificial Intelligence
Computational Intelligence
Complexity
Mathematical Models of Cognitive Processes and Neural Networks
Persona (resp. second.): PennachinCassio
GeisweillerNil
Note generali: Includes index.
Nota di contenuto: A Brief Overview of Cog Prime -- Build Me Something I Haven’t Seen: A Cog Prime Thought Experiment -- What is Human-Like General Intelligence? A Patternist Philosophy of Mind -- Brief Survey of Cognitive Architectures -- A Generic Architecture of Human-Like Cognition -- A Formal Model of Intelligent Agents -- Cognitive Synergy -- General Intelligence in the Everyday Human World -- A Mind-World Correspondence Principle -- Stages of Cognitive Development -- The Engineering and Development of Ethics -- Local, Global and Glocal Knowledge Representation -- Representing Implicit Knowledge via Hypergraphs -- Emergent Networks of Intelligence -- AGI Preschool -- A Preschool-Based Roadmap to Advanced AGI -- Advanced Self-Modification: A Possible Path to Superhuman AGI.
Sommario/riassunto: The work outlines a novel conceptual and theoretical framework for understanding Artificial General Intelligence and based on this framework outlines a practical roadmap for the development of AGI with capability at the human level and ultimately beyond.
Titolo autorizzato: Engineering General Intelligence, Part 1  Visualizza cluster
ISBN: 94-6239-027-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910299049103321
Lo trovi qui: Univ. Federico II
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Serie: Atlantis Thinking Machines, . 1877-3273 ; ; 5