We are rapidly transitioning into a future that is increasingly dominated by logic and data-driven analysis.

Our decision-making processes are divided into two approaches.

Reliance on AI for answers has already catapulted data-driven information to dependency.

“A mind all logic is like a knife all blade. It makes the hand bleed that uses it.” –Rabindranath Tagore

The world is transitioning rapidly into a future that is increasingly dominated by logic and data-driven analysis. Is there any evidence that this is the best pathway to a better future? Is there any evidence that this approach is contrary to a better future? Are there any alternative approaches?

Our decision-making processes are divided into two approaches. These two approaches are the attribute and associative styles of decision-making.

How do these styles differ? Is one better than the other? Could both types be salient to our future?

Attribute Decision-Making

Attributes are the characteristics, qualities, or performance parameters of alternatives. Attribute decision problems involve the selection of the “best” alternative from a pool of preselected alternatives (1).

When shopping for a new car, house, or computer, you might consider the attributes of each item based on a set of criteria. The criteria would be based upon certain characteristics, qualities, or performance parameters of each item. Your decision to buy a specific item would be based on a logical, data-driven approach to your purchase.

“The more I draw and write, the more I realise that accidents are a necessary part of any creative act, much more so than logic or wisdom. Sometimes a mistake is the only way of arriving at an original concept, and the history of successful inventions is full of........

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