Coach & Consultant on Thinking. Former Futurist. Personal Coaching @ http://indy.london ; Business Coaching and Human-AI consulting @ http://enoptron.com
Falk Lieder, Ming Hsu, and Tom Griffiths showed that the ‘rational’ solution to this computational constraint is to over-sample extreme outcomes. That is, you should apply something like the availability heuristic by calling those more extreme (easily accessible) outcomes to mind. The result is a biased estimate, but one that is optimal given the... See more
Expand the diversity of building blocks . As Goldberg puts it, diversity is a necessary condition of selectorecombinative success. The broader our ecology of notes, the greater the combinatorial possibility.
In what ways might we increase the diversity of our notes?
How might we connect notes laterally, across topic boundaries?
The metaphors we use shape how we view the world. Is the brain like a computer? Maybe, as Gurwinder says, the brain is the opposite: a machine that tries to circumvent thinking . Cognition costs time, and in a society that is information-rich and time-poor, people will use shortcuts to make decisions - feelings, aesthetics, environment,... See more
No! The brain doesn't seek to circumvent thinking, this misunderstands the optimisation that goes on. The brain seeks to circumvent (where possible) computation - because computation is not only inefficient, but very often ineffective. Incidentally, beware of writers who decide they are PCs and you are an NPC.
one of the latest big theories in neuroscience says that humans are fundamentally creatures of prediction, and not only is creativity not at odds with that, but it actually goes hand in hand with improving our predictive power. Life itself, in this view, is one big process of creatively optimizing prediction as a survival strategy in a universe... See more
Allostasis is also more accurate because the truth is you almost never get back to where you were — and when you try you often end up suffering. And while allostasis is becoming the predominant model for thinking about change in the research community, it hasn’t really been applied to laypeople with our everyday concerns. I think it should be,... See more
The first is a weakened focus on the concept of bias. The point of decision-making is not to minimize bias. It is to minimize error, of which bias is one component. In some environments, a biased decision-making tool will deliver the lowest error. For example, statisticians and computer scientists often use a class of procedures called... See more
Naturally, these three ideas — uncertainty ability, the experimental organization, and strategy as creation — are just a sampling of the approaches we see emerging as complements to strategy in more stable markets. Uncertainty science doesn’t invalidate the prior strategic frameworks, but it does draw a boundary line, arguing that if you want to... See more