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Adam Appich, master of science, is there with several studies that show how legacy cognitive blindness will forever prevent people from acting in their own best interests.
Richard Powers • The Overstory: A Novel
But, contrary to libertarian rhetoric, we are not monads. From birth until death, our ability to reach our goals, even to survive, is tightly linked to our social interactions with others in our society.
Herbert A. Simon • The Sciences of the Artificial
When we see the first applicant, we have no information—she’ll always appear to be the best yet. When we see the third applicant, we have no agency—we have to make an offer to the final applicant,
Brian Christian, Tom Griffiths • Algorithms to Live By: The Computer Science of Human Decisions
What is striking about these documents is their practical sense and the awareness they exude of the limits of foresight about large human affairs.
Herbert A. Simon • The Sciences of the Artificial
System 2) is slow, focused, self-aware, and what most of us consider “thinking.” We can rationally analyze our way through unfamiliar situations and handle complex problems with System 2. Unfortunately, System 2 is woefully limited in how much information it can handle at a time
Stephen Wendel • Designing for Behavior Change: Applying Psychology and Behavioral Economics
- Effective executives know where their time goes.
Peter F. Drucker • The Effective Executive: The Definitive Guide to Getting the Right Things Done (Harperbusiness Essentials)
We are not omniscient, rational optimizers, says Simon. Rather, we are blundering “satisficers,” attempting to meet (satisfy) our needs well enough (sufficiently) before moving on to the next decision.11 We do our best to further our own nearby interests in a rational way, but we can take into account only what we know. We don’t know what others ar
... See moreDonella H. Meadows • Thinking in Systems: International Bestseller
human problem solving, from the most blundering to the most insightful, involves nothing more than varying mixtures of trial and error and selectivity. The selectivity derives from various rules of thumb, or heuristics, that suggest which paths should be tried first and which leads are promising.
Herbert A. Simon • The Sciences of the Artificial
as many critics have pointed out—most recently, the computer scientist and musician Jaron Lanier—large collectives are rarely capable of true creativity or innovation. (We have the term “herd mentality” for a reason.)