George F. Luger

Knowing our World: An Artificial Intelligence Perspective (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 256
• Erscheinungstermin: 2. Juli 2021
• Englisch
• ISBN-13: 9783030718732
• Artikelnr.: 62180973

Autorenporträt

George Luger is Professor Emeritus of Computer Science at the University of New Mexico. Dr. Luger was also a Professor in the Psychology and Linguistics Departments, reflecting his interdisciplinary interests in Cognitive Science and Computational Linguistics.

The National Science Foundation, NATO, the British Royal Society, NASA, the Smithsonian Institution, NIH, the Departments of Defense, Energy and Transportation, NIH, and other government agencies have supported George Luger's research. He has worked with the Los Alamos and Sandia National Laboratories and for numerous companies. Currently, his consulting is in the design of natural language web agents and deep learning technologies that analyze information in very large collections of data.

Dr. Luger is the author of Artificial Intelligence: Structures and Strategies for Complex Problem Solving (Addison-Wesley 2009), now in its Sixth Edition, and Cognitive Science: The Science of Intelligent Systems (Academic Press, 1994).

Inhaltsangabe

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.

Rezensionen

"This book is a 'must read' for anyone that has an interest in Artificial Intelligence and epistemologically related issues. Besides offering new insights into the philosophical foundations of epistemology, it is a veritable encyclopedia covering the history and core aspects of contemporary AI and Cognitive Science." (Daniel G. Schwartz, AI & SOCIETY, Vol. 39 (4), 2024)