Inductive generalization is a defeasible type of inference which we use to reason from the particular to the universal. First, a number of systems are presented that provide different ways of implementing this inference pattern within first-order logic. These systems are defined within the adaptive logics framework for modeling defeasible reasoning...
Published in BioData Mining
BackgroundCapturing complete medical knowledge is challenging-often due to incomplete patient Electronic Health Records (EHR), but also because of valuable, tacit medical knowledge hidden away in physicians’ experiences. To extend the coverage of incomplete medical knowledge-based systems beyond their deductive closure, and thus enhance their decis...
Published in Integrative Psychological and Behavioral Science
Inductive generalization is the primary way by which human beings arrive at the construction of knowledge. Usually, it is assumed that it operates in a linear manner—each new feature becomes “piled up” in the inductive accumulation of evidence. We question this view, and otherwise claim that inductive generalization is essentially a non-linear dyna...
Published in Journal of Experimental Child Psychology
Published in Synthese
In this paper, I consider the pessimistic induction construed as a deductive argument (specifically, reductio ad absurdum) and as an inductive argument (specifically, inductive generalization). I argue that both formulations of the pessimistic induction are fallacious. I also consider another possible interpretation of the pessimistic induction, na...
