Adversarial Collaboration

In the Edge:

Adversarial Collaboration: In the Edge

Intro below. worth reading. Ultimately robotics and AI need to be able to do this.   - FAD 

[EDITOR'S NOTE: In marking this year's 25th anniversary of Edge, we are presenting original lectures from eminent scientists and other thinkers in th­e empirical world who are changing the way we think about science and our place­­ in the world.]

"People don't change their minds."    —Daniel Kahneman 

DANIEL KAHNEMAN is the Eugene Higgins Professor of Psychology Emeritus, Princeton University, author of Thinking, Fast and Slow, and co-author (with Cass R. Sunstein and Olivier Sibony) of Noise. He is the winner of the 2013 Presidential Medal of Honor, and the recipient of the 2002 Nobel Prize in Economic Sciences. Daniel Kahneman’s Edge Bio Page

Introduction  By John Brockman

Daniel Kahneman, while known for his work with Amos Tversky in the 1970s on judgment and decision-making, hopes that part of his scientific legacy will be the practice of adversarial collaboration, which he initiated in 2001.

Introduced as "a substitute for the format of critique-reply-rejoinder in which debates are currently conducted in the social sciences," Kahneman championed adversarial collaboration as "a good-faith effort to conduct debates by carrying out joint research."

He notes that the flowering of adversarial collaborations in various scientific disciplines is an indication that we are at the beginnings of a radical change in the way that science is done in psychology and other disciplines. "And," he says, "it's a major improvement."  ....'  ... 

Danel Kahneman vs Deep Learning

From Linkedin, by Ajit Joakar

(You need Linkedin membership to see this introduction) 

Artificial Intelligence #18: Of Daniel Kahneman and Deep Learning

Published on August 24, 2021

Course Director: Artificial Intelligence: Cloud and Edge Implementations - University of Oxford

 Welcome to Artificial Intelligence #18

 This week, I am still on work / holiday in Germany

 In this newsletter, we cover an important topic based on the book thinking fast and slow

 The main thesis of Daniel Kahneman’s landmark book thinking fast and slow is the dichotomy between two modes of thought: "System 1" (fast, instinctive and emotional) and  "System 2" (slower, more deliberative, and more logical).

The ever insightful Kahneman also points out to system 1 v.s. system 2 as one of the challenges of deep learning in an interview with Lex Fridman

 To summarise Daniel Kahneman's view on deep learning.  What is happening in deep learning is more like a system one product. Deep learning matches patterns and anticipate what's going to happen so it's highly predictive

However, deep learning doesn't have the ability to reason, manage temporal causality and represent meaning

Deep learning has made rapid progress but there are many problems where we need ability for reasoning. These shortcomings are also pointed out by Gary Marcus and other critics of AI.These are important limitations to deep learning and AI today.

. Solving these challenges could be a trigger for deep learning to evolve  ... .'