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Knowing our World: An Artificial Intelligence Perspective

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Knowing our World: An Artificial Intelligence Perspective/ by George F. Luger.
Author:	Luger, George F.
Description:	XVIII, 256 p. 73 illus., 17 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence. -
Online resource:	https://doi.org/10.1007/978-3-030-71873-2
ISBN:	9783030718732

Knowing our World: An Artificial Intelligence Perspective
Luger, George F.

Knowing our World: An Artificial Intelligence Perspective[electronic resource] /by George F. Luger. - 1st ed. 2021. - XVIII, 256 p. 73 illus., 17 illus. in color.online resource.

PART 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.-Bibliography -- Index.

Knowing 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. .

ISBN: 9783030718732

Standard No.: 10.1007/978-3-030-71873-2doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

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505 0 $a PART 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.-Bibliography -- Index.
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