Computational models of intuition typically focus on describing cognitive implementations of
intuitive decision-making. In this commentary, we highlight several ways in which formal …

Decision making is an interdisciplinary field, which is explored with methods spanning from
economic experiments to brain scanning. Its dominant paradigms such as utility theory …

Intuition represents an enormous challenge for research on decision making. What is
intuition? How does it modify our appreciation of cognitive abilities? When should people …

Intuitive-automatic processes are crucial for making judgements and decisions. The
fascinating complexity of these processes has attracted many decision researchers …

The central goal of this volume is to bring the learning perspective into the discussion of
intuition in judgment and decision making. The book gathers recent work on intuitive …

When investigating literature in intuitive decision making one will often find references or
applications of a dual-systems approach (Stanovich & West, 2000). Within this framework …

Like chessmaster Garry Kasparov and computer Deep Blue, humans and machines are
often seen as locked in an epic battle for superiority of decision making. On the one hand …

WHat eXPeRt IntuItIon Is and Isn't this chapter concerns expert intuition, the coping skill that
develops in a domain after an individual with innate talent has considerable learning …

In the experimental and theoretical literature on social heuristics, the case has been made
for dual-process cooperation. Empirical evidence is thought to be consistent with the idea …

Intuition traditionally refers to a way of knowing through 'immediate apprehension', meaning
to know without the usual constraints of space or time, and unmediated by the ordinary …