How to Move up When the Only Way Is Down : Lessons from Artificial Intelligence for Overcoming Your Local Maximum.

Format:

Book

Author/Creator:

Taub, Judah.

Language:

English

Subjects (All):

Decision making.

Artificial intelligence.

Physical Description:

1 online resource (211 pages)

Edition:

1st ed.

Place of Publication:

Wiley 2024

Summary:

"Mathematicians and coders use the term "local minimum" to describe the challenge of optimization, or the best solution to a problem. It is not always obvious. "Maximum" represents the human search for the highest value while computers search for the lowest value, or the fastest and most cost-efficient solutions. To this end, AI itself has been recruited as a key player to figure out solutions problems posed by a Local Maximum."-- Provided by publisher.

Contents:

Introduction: The Local Maximum Trap: A Universal Challenge Chapter 1: The Highest Mountain Chapter 2: Assessing the Terrain vs. Climbing Chapter 3: Training to Overcome the Valley of Death Chapter 4: Agility to Navigate the Unexpected Chapter 5: The Mountain Within - The Psychology of a Local Maximum Chapter 6: Time: The Fourth Dimension Chapter 7: Global Maximum Equilibrium vs. Self-Interest Chapter 8: Dangerous Mountains Chapter 9: Using Local Maximum to Your Advantage Chapter 10: Local Maximum's Effect on Global Challenges Conclusion: Our Own Mountains A Conversation with ChatGPT End User License Agreement

Notes:

Includes index.

Description based on publisher supplied metadata and other sources.

ISBN:

9781394278077

1394278071

9781394278084

139427808X

OCLC:

1437542654