An inductive logic is a system for reasoning that derives conclusions which are plausible or credible, but are nonetheless not certain. Thus, inductive logic goes beyond the more familiar systems of deductive logic, in which the truth of the premises requires the truth of the conclusions. Thus

's (1994b) or P. Pollard and J. St B T Evans's (1983) data. It is argued that an equivalent measure satisfies their normative concerns and that a modification of O&C's model accounts for their empirical concerns. D. Laming (1996) argues that O&C made unjustifiable psychological

Gestalt experiments and inductive observations

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not adequately consider alternative possibilities, especially those directly at odds with their beliefs and perceptions of the moment, remains as viable today as it was in Cromwell's time. In fact, modern psychology has provided substantial empirical evidence to buttress the argument that our beliefs

statements are based on inductive inferences, they are relying on humanities, which rhetoric is a part of. Yet induction also has an empirical component by being based on senseimpressions, which is not a part of the rhetoric, but the psychology. Also the myths are understood in a rhetorical (Lévi

and empirical base, the predominance of inductive scientific logic, the polymorphous use of terms, the privacy of clinical data, the dominance of the reconstructionist stance, and the isolation of psychoanalysis from psychology and neurobiology. Notwithstanding these limitations, core psychoanalytic precepts

that the results supported a model of natural inductive logic that develops through everyday problem-solving experience with multivariable situations. That is, individuals base their choice of strategy on empirical foundations (e.g., reproducing positive effects and eliminating negative effects), not logical ones

The principle aim of this dissertation is to investigate the philosophical application of quantum information theory to interpretational issues regarding the theory of quantum mechanics. Recently, quantum information theory has emerged as a potential source for such an interpretation. The main question with which this dissertation will be concerned is whether or not an information-theoretic interpretation can serve as a conceptually acceptable interpretation of quantum mechanics. It will be argued that some of the more obvious approaches – that quantum information theory shows us that ultimately the world is made of information, and quantum Bayesianism – fail as philosophical interpretations of quantum mechanics. However, the information-theoretic approach of Clifton, Bub, and Halvorson introduces Einstein’s distinction between principle theories and constructive theories, arguing that quantum mechanics is best understood as an information-theoretic principle theory. While I argue that this particular approach fails, it does offer a viable new philosophical role for information theory. Specifically, an investigation of interpretationally successful principle theories such as Newtonian mechanics, special relativity, and general

Abstract: Online learning initia-tives over the past decade have become increasingly comprehen-sive in their selection of courses and sophisticated in their presen-tation, culminating in the recent announcement of a number of consortium and startup activities that promise to make a university education on the internet, free of charge, a real possibility. At this pivotal moment it is appropriate to explore the potential for obtaining comprehensive bioinformatics training with currently existing free video resources. This article pre-sents such a bioinformatics curric-ulum in the form of a virtual course catalog, together with editorial commentary, and an assessment of strengths, weaknesses, and likely future directions for open online learning in this field. Online Learning Comes of Age Online academic ‘‘courseware’ ’ at the university level has now been available to the public for a decade, the earliest concerted effort having originated in 2002 with the Massachusetts Institute of Technology (MIT) and their OpenCour-seWare initiative