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his death. His major area of research was Inductive Inference, a branch of learning theory. This is a recursion-theoretic view of learning where the function to be learned is computable and the object to be learned is the Turing machine for that function. This type of learning theory pre-dated PAC-learning by many years (Gold's paper Learning in the Limit is from 1967, Valiant's paper A Theory of the Learnable is from 1984.) Carl helped found the COLT conference (Computational Learning Theory). Initially the conference was about the Inductive Inference model of learning, and the PAC model, and other models as well; however, over time the inductive inference model has gone out of fashion. Carl also helped found the COMPLEXITY conference. In the early 1980s he organized two workshops on recursion theoretic learners. These can be considered a precursor to COMPLEXITY. In addition he was the local arrangements chair for the Third COMPLEXITY meeting (Georgetown, 1988). Carl helped several Eastern Bloc Computer Scientists come to conferences in America before the Berlin Wall fell. After it fell he helped several get positions in America as visitors and, in one case, permanent (Efim Kinber

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Publisher

Elsevier Science; Elsevier ; Elsevier Inc.; Elsevier BV (ISSN 0022-0000)

Published

2008

Language

EN

Field

Computer Science (Physical Sciences)