Michele Pasin / Quotes

Make AI's hidden assumptions explicit

To reiterate, there are a few fundamental and implicit assumptions in current AI research that have to be made explicit. This is the only way that these assumptions can be acknowledged and improved upon before we can hope to create the world that Kurzweil and others imagine. I would call this a general principle of intellectual integrity.

Saved 27 January 2018 / www.amazon.com ↗

#artificial-intelligence #assumption #research

Judging a paper without reading it

The use of the current research publications performance metrics (citations, altmetrics, webometris, etc) is, in our opinion, based on a false premise that…

A New Semantic Similarity Based Measure For Assessing Research Publication’s Contribution #use #assumption #impact

Leap-of-faith assumptions and the minimum viable product

To apply the scientific method to a startup, we need to identify which hypotheses to test. I call the riskiest elements of a startup’s plan, the parts on…

The Lean Startup (Eric Ries) #hypothesis #prototype #startups #assumption

Logic and mathematics

Logic itself rests upon assumptions to which nothing in the world of reality corresponds. For example, the correspondence of certain things to one another and…

Human, All Too Human: A Book For Free Spirits #science #logic #things #assumption

Problem of incompatible conceptualizations

Even with a uniform language, there may still be incompatible assumptions in the conceptualization. For example, in [Hayes 96] it is shown that two…

Where Are The Semantics In The Semantic Web? #representation #language #assumption #conceptualization

Unique name assumption

There are two features of Description Logic that are not shared by most other data description formalisms: DL does not make the Unique Name Assumption (UNA)…

Description Logic - Wikipedia, The Free Encyclopedia #assumption #inference #concept