Fact-Free Learning

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Fact-Free Learning

People may be surprised to notice certain regularities that hold in existing knowledge they have had for some time. That is, they may learn without getting new factual information. We argue that this can be partly explained by computational complexity. We show that, given a knowledge base, finding a small set of variables that obtain a certain value of R is computationally hard, in the sense th...

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The Microbe-Free Plant: Fact or Artifact?

Plant-microbe interactions are ubiquitous. Plants are threatened by pathogens, but they are even more commonly engaged in neutral or mutualistic interactions with microbes: belowground microbial plant associates are mycorrhizal fungi, Rhizobia, and plant-growth promoting rhizosphere bacteria, aboveground plant parts are colonized by internally living bacteria and fungi (endophytes) and by micro...

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Does Guessing Incorrectly Impair Fact Learning?

In learning new information through testing with feedback, is it best for the learner to guess when unsure, or does that cause errors to become engrained? On day 1, subjects learned 80 facts, and were then tested on each. When a subject reported being unable to give an informed response, on a randomly chosen half of all trials the computer insisted upon a guess and provided corrective feedback ...

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Does Incorrect Guessing Impair Fact Learning?

Taking a test has been shown to produce enhanced retention of the retrieved information. On tests, however, students often encounter questions the answers for which they are unsure. Should they guess anyway, even if they are likely to answer incorrectly? Or are errors engrained, impairing subsequent learning of the correct answer? We sought to answer this question in 3 experiments. In Experimen...

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Sherlock: Scalable Fact Learning in Images

The human visual system is capable of learning an unbounded number of facts from images including not only objects but also their attributes, actions and interactions. Such uniform understanding of visual facts has not received enough attention. Existing visual recognition systems are typically modeled differently for each fact type such as objects, actions, and interactions. We propose a setti...

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ژورنال

عنوان ژورنال: American Economic Review

سال: 2005

ISSN: 0002-8282

DOI: 10.1257/000282805775014308