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Je fais partie des premières générations d’étudiants de lycéens à avoir été autorisées à utiliser une calculatrice électronique au baccalauréat. J’ai donc connu les deux systèmes: la règle à calcul et les tables de logarithmes versus la calculatrice électronique. Autant … Continuer la lecture →
We tend to judge the likelihood and significance of things based on how easily they come to mind. The more “available” a piece of information is to us, the more important it seems. The result is that we give greater weight to information we learned recently because a news article you read last night comes to mind easier than a science class you took years ago. It’s too much work to try to comb through every piece of information that might be in our heads.
The musician and comedian Martin Mull has observed that “writing about music is like dancing about architecture”. In a similar way, there's an inherent inadequacy in writing about tools for thought. To the extent that such a tool succeeds, it expands your thinking beyond what can be achieved using existing tools, including writing. The more transformative the tool, the larger the gap that is opened. Conversely, the larger the gap, the more difficult the new tool is to evoke in writing. But what writing can do, and the reason we wrote this essay, is act as a bootstrap. It's a way of identifying points of leverage that may help develop new tools for thought. So let's get on with it.
Reverse Engineering Cognition
September 2015
Topics: Cybersecurity, Technical Training
Maura K. Tennor, The MITRE Corporation
This paper presents the results of a literature review on the topic of Reverse Engineering Cognition under MITRE’s Internal Research and Development Portfolio. Resource material for this review was gathered by conducting a series of searches for journal articles, conference proceedings and a variety of Internet sources. The paper summarizes what we know today about how reverse engineering of binaries is performed at a cognitive and mechanical level, ties in related areas such as expertise and mental models, and suggests avenues for future research.