Synopsis: The new cognitive capabilities in our machines were the result of a shift in the way wethink about problem solving. The shift is the most significant change in AI, ever, if not inscience as a whole. Machine Learning based systems are now successfully attackingboth simple and complex problems using these novel Methods. We are…
“In short, data is not knowledge; knowledge is not comprehension; comprehension is not wisdom” The standard account of understanding has been, since Aristotle, knowledge of the causes of an event or effect. However, this account fails in cases where the subject understood is not causal. In this paper I offer an account of understanding as…
A discussion among philosophers, mathematicians and AI experts on whether science can be automated, what it means to automate science, and the implications of automating science – including discussion on the technological singularity. – implementing science in a computer – Bayesian methods – most promising normative standard for doing inductive inference – vehicle : causal…
“The Revolutions of Scientific Structure” reveals an empirically measured discovery, by science, about the natural world that is the human scientist. The book’s analysis places science at the cusp of a major developmental transformation caused by science targeting the impossible: the science of consciousness, which was started in the late 1980s by a science practice…
Studies of the nature of life, evolutionary epistemology, anthropology and history of technology leads me reluctantly to the conclusion that Moore’s Law is taking us towards some kind of post-human singularity. The presentation explores fundamental aspects of life and knowledge, based on a fusion of Karl Popper’s (1972) evolutionary epistemology and Maturana and Varela’s (1980)…
