^TagReinforcement learning

close-up view of robot playing chess, selective focus

^{Type
podcast

Author
Robert J. Marks and Larry L. Linenschmidt
Date
August 27, 2020

Tagged
AI Delusion (book), Alan Turing, algorithm, Algorithm-of-the-Gaps, Algorithmic Information Theory, algorithmic intelligence, AlphaGo, Ambiguity, Artificial Intelligence, China, Chinese Room, Computer History, Computer science, Creativity, David Gelernter, Deep Blue, Deep Learning, ethics, Gary Smith, George Gilder, Go (game), human brain, hype, IBM Watson, Jay Richards, Larry L. Linenschmidt, Neural networks, non-algorithmic, Peter Thiel, qualia, Quantum Computing, Reinforcement learning, Robert J. Marks, self-driving cars, STEM fields, Supercomputers, Swarm intelligence}

Bingecast: Robert J. Marks on the Limitations of Artificial Intelligence

_{Robert J. Marks and Larry L. Linenschmidt

August 27, 2020

2}

Robert J. Marks talks with Larry L. Linenschmidt of the Hill Country Institute about nature and limitations of artificial intelligence from a computer science perspective including the misattribution of creativity and understanding to computers. Other Larry L. Linenschmidt podcasts from the Hill Country Institute are available at HillCountryInstitute.org. We appreciate the permission of the Hill Country Institute to rebroadcast this Read More ›

High-Ranking Military Man holds a Briefing to a Team of Government Agents and Politicians, Shows Satellite Surveillance Footage.

^{Type
post

Author
Robert J. Marks
Date
May 4, 2020

Categorized
Artificial Intelligence, Military

Tagged
Art of War (book), Blitzkrieg, Calvin and Hobbes, Creativity, Featured, Frederick the Great, Hannibal, Military strategy, Muhammad Ali, Patrick D. Wall, Reinforcement learning, Sun Tzu, warfare}

Calvin and Hobbes Explain Why AI Will Never Rule the Battlefield

_{The creativity needed for successful command is beyond the capability of AI} _{Robert J. Marks

May 4, 2020

4

Artificial Intelligence, Military}

AI sifts enormous amounts of accumulated data. But successful military strategy often depends on creating a new approach to a problem, one that lies outside the historical data available to the opposing forces. Muhammad Ali and Hannibal were famous for using such strategies.

The Unexpected and the Myth of Creative Computers – Part II

_{Larry L. Linenschmidt and Robert J. Marks

December 19, 2019

2}

Robert J. Marks talks with Larry L. Linenschmidt of the Hill Country Institute about the misattribution of creativity and understanding to computers. This is Part 2 of 2 parts. Other Larry L. Linenschmidt podcasts from the Hill Country Institute are available at HillCountryInstitute.org. We appreciate the permission of the Hill Country Institute to rebroadcast this podcast on Mind Matters. Show Read More ›

^{Type
podcast

Author
Larry L. Linenschmidt and Robert J. Marks
Date
December 12, 2019

Tagged
Alan Turing, algorithm, Algorithmic Information Theory, algorithmic intelligence, Artificial Intelligence, Computer History, Computer science, Deep Learning, Go (game), human brain, hype, Larry L. Linenschmidt, Neural networks, non-algorithmic, Quantum Computing, Reinforcement learning, Robert J. Marks, STEM fields, Supercomputers}

Gee-Whiz Tech and AI Reality – Part I

_{Larry L. Linenschmidt and Robert J. Marks

December 12, 2019

1}

Robert J. Marks talks with Larry L. Linenschmidt of the Hill Country Institute about the nature and limitations of artificial intelligence from a computer science perspective. This is Part 1 of 2 parts. Other Larry L. Linenschmidt podcasts from the Hill Country Institute are available at HillCountryInstitute.org. We appreciate the permission of the Hill Country Institute to rebroadcast this podcast Read More ›

^{Type
post

Author
Jonathan Bartlett
Date
January 24, 2019

Categorized
Machine Learning

Tagged
Featured, Machine Learning, Reinforcement learning, Supervised Learning, Unsupervised Learning}

Part 1: Navigating the Machine Learning Landscape

_{To choose the right type of machine learning model for your project, you need to answer a few specific questions} _{Jonathan Bartlett

January 24, 2019

6

Machine Learning}

Most machine learning systems fall into three main categories—supervised learning, unsupervised learning, and reinforcement learning. The choice of system depends first on which category of machine learning best addresses your situation. Read More ›