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001437979 001__ 1437979
001437979 003__ OCoLC
001437979 005__ 20230309004242.0
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001437979 019__ $$a1266809010
001437979 020__ $$a9783030718732$$q(electronic bk.)
001437979 020__ $$a3030718735$$q(electronic bk.)
001437979 020__ $$z3030718727
001437979 020__ $$z9783030718725
001437979 0247_ $$a10.1007/978-3-030-71873-2$$2doi
001437979 035__ $$aSP(OCoLC)1259625298
001437979 040__ $$aYDX$$beng$$epn$$cYDX$$dGW5XE$$dOCLCO$$dOCLCF$$dDCT$$dUKAHL$$dN$T$$dOCLCQ$$dOCLCO$$dOCLCQ
001437979 049__ $$aISEA
001437979 050_4 $$aQ335
001437979 08204 $$a006.3$$223
001437979 1001_ $$aLuger, George F.
001437979 24510 $$aKnowing our world :$$ban artificial intelligence perspective /$$cGeorge F. Luger.
001437979 260__ $$aCham :$$bSpringer,$$c2021.
001437979 300__ $$a1 online resource
001437979 336__ $$atext$$btxt$$2rdacontent
001437979 337__ $$acomputer$$bc$$2rdamedia
001437979 338__ $$aonline resource$$bcr$$2rdacarrier
001437979 347__ $$atext file
001437979 347__ $$bPDF
001437979 504__ $$aIncludes bibliographical references and index.
001437979 5050_ $$aPART I, In the Beginning.-1 Creating Computer Programs: An Epistemic Commitment -- 2 Historical Foundations -- 3 Modern AI and How We Got Here -- PART II, AI: Structures and Strategies for Complex Problem Solving -- 4 Symbol-Based AI and its Rationalist Presuppositions -- 5 Association and Connectionist Approaches to AI -- 6 Evolutionary Computation and Intelligence -- PART III, On Epistemology: Towards an Active, Pragmatic, Model-Revising Realism -- 7 A Constructivist Rapprochement and an Epistemic Stance -- 8 Bayesian-Based Constructivist Computational Models -- 9 Towards an Active, Pragmatic, Model-Revising Realism.
001437979 506__ $$aAccess limited to authorized users.
001437979 520__ $$aKnowing our World: An Artificial Intelligence Perspective considers the methodologies of science, computation, and artificial intelligence to explore how we humans come to understand and operate in our world. While humankind's history of articulating ideas and building machines that can replicate the activity of the human brain is impressive, Professor Luger focuses on understanding the skills that enable these goals. Based on insights afforded by the challenges of AI design and program building, Knowing our World proposes a foundation for the science of epistemology. Taking an interdisciplinary perspective, the book demonstrates that AI technology offers many representational structures and reasoning strategies that support clarification of these epistemic foundations.
001437979 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 15, 2021).
001437979 650_0 $$aArtificial intelligence.
001437979 650_0 $$aArtificial intelligence$$xPhilosophy.
001437979 650_6 $$aIntelligence artificielle.
001437979 650_6 $$aIntelligence artificielle$$xPhilosophie.
001437979 655_0 $$aElectronic books.
001437979 77608 $$iPrint version:$$z3030718727$$z9783030718725$$w(OCoLC)1237861671
001437979 852__ $$bebk
001437979 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-71873-2$$zOnline Access$$91397441.1
001437979 909CO $$ooai:library.usi.edu:1437979$$pGLOBAL_SET
001437979 980__ $$aBIB
001437979 980__ $$aEBOOK
001437979 982__ $$aEbook
001437979 983__ $$aOnline
001437979 994__ $$a92$$bISE