Reasoning about facts and possibilities
Adapted from Khemlani, Byrne, and Johnson-Laird (2018).
Mental models were first proposed as a basis for deductive reasoning over forty years ago. Since then the model theory has expanded to cover most areas of reasoning including induction and abduction. A recent advance in the theory shows how the theory handles reasoning about facts and possibilities.
Possibilities — not necessities, not truth values, and not probabilities — underlie the model theory. For instance, to understand an assertion such as, “The fault is in the software or in the connection, or both”, the model theory argues that reasoners represent the scenario as a conjunctive set of possibilities, akin to:
possible(software) & possible(connection) & possible(software & connection)
An abbreviated diagram of the representation is:
where each line represents a distinct possibility. While three possibilities are listed above, reasoners can distinguish between facts and possibilities: a “fact” is a situation that yields a set of models containing exactly one model.
A primary prediction of the model theory is that when inferences require reasoners to consider multiple distinct possibilities, those inferences call for multiple distinct models — and they’re difficult. Reasoners take longer to make those inferences and they’re more prone to error. Many studies have corroborated this prediction, and a new set of computational models simulates how reasoners consider alternative possibilities.
Pierre Barrouillet, Ruth Byrne, Geoff Goodwin, Phil Johnson-Laird, Sangeet Khemlani, Isabel Orenes, Cristina Quelhas, Marco Ragni, Célia Rasga, Carlos Santamaria
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