A COMPUTATIONAL LEARNING SEMANTICS FOR INDUCTIVE EMPIRICAL KNOWLEDGE KEVIN T. KELLY Abstract. This paper presents a new semantics for inductive empirical knowledge. The epistemic agent is represented concretely as a lear - Agent Logic - Document - PDFSEARCH.IO

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	A COMPUTATIONAL LEARNING SEMANTICS FOR INDUCTIVE EMPIRICAL KNOWLEDGE KEVIN T. KELLY Abstract. This paper presents a new semantics for inductive empirical knowledge. The epistemic agent is represented concretely as a lear Add to Reading List Document Date: 2015-02-22 15:09:02 Open Document File Size: 508,84 KB Share Result on Facebook Company S5 / Xi / hFi / / Holiday Assumption / / IndustryTerm linear law / tense operator / modal operator / quadratic law / arbitrary modal operator / / NaturalFeature Semantics Let Mt / khFi Mt / / Person Williamson / Johan van Benthem / KEVIN T. KELLY / / Position general scientific laws / / SocialTag Model theory Deduction Interpretation Philosophy of mind Entailment Modal logic Substitution Universal property Linear temporal logic Logic

A COMPUTATIONAL LEARNING SEMANTICS FOR INDUCTIVE EMPIRICAL KNOWLEDGE KEVIN T. KELLY Abstract. This paper presents a new semantics for inductive empirical knowledge. The epistemic agent is represented concretely as a learAdd to Reading List