Three forms of inductive generalization statistical generalization, variation-based generalization and theory-carried generalization are insufficient concerning case-to-case generalization, which is a form of analogical generalization. The quality of case-to-case generalization needs to be reinforced by setting up explicit analogical argumentation. To evaluate analogical argumentation six crite...

We introduce, discuss, and study a model for inductive inference from samplings, formalizing an idea of learning different “projections” of languages. One set of our results addresses the problem of finding a uniform learner for all samplings of a language from a certain set when learners for particular samplings are available. Another set of results deals with extending learnability from a lar...

Let E be a finite alphabet and let W be the set of words on Z. A subset A of W is said to be generable if it is the closure of a computable inductive operator F over W; if F is monotone, then A is monotone generable. (The basic facts about inductive operators and about RE sets needed in this paper will be given in section one.) Now any generable set is RE and any RE set is I-i reducible to a (m...

This is a sloppy first draft of [J. Comp. System Sciences, 44:2(1992), 343-384]. Also, there are some problems with the pictures and references due to the obsolete troff processing. Reasoning to obtain the ‘truth’ about reality, from external data, is an important, controversial, and complicated issue in man’s effort to understand nature. (Yet, today, we try to make machines do this.) There hav...

Inductive reasoning allows us to go beyond the target hypothesis and capitalize on prior knowledge. Past research has shown that both similarity relations and specific causal knowledge affect the inductive plausibility of hypotheses. The present experiment goes one step further by investigating the role of abstract causal schemas about main effects and interactions. We were interested in explor...

We develop a model of games with awareness that allows for differential levels of awareness. We show that, for the standard modal logical interpretations of belief and awareness, a player cannot believe there exist propositions of which he is unaware. Nevertheless, we argue that a boundedly rational individual may regard the possibility that there exist propositions of which she is unaware as b...

We present Explanatory Reasoning for Inductive Confidence (ERIC), a computational model of explanation generation and evaluation. ERIC combines analogical hypothesis generation and justification with normative probabilistic theory over statement confidences. It successfully captures a broad range of empirical phenomena, and represents a promising approach toward the application of explanatory k...

The philosophical foundations of statistics may be regarded as the study of the epistemological, conceptual, and logical problems revolving around the use and interpretation of statistical methods, broadly conceived. As with other domains of philosophy of science, work in statistical science progresses largely without worrying about “philosophical foundations.” Nevertheless, even in statistical...

The design of high integrity, area efficient power distribution grids has become of practical importance as the portion of on-chip interconnect resources dedicated to power distribution networks in high performance integrated circuits has greatly increased. The inductive characteristics of several types of gridded power distribution networks are described in this paper. The inductance extractio...

The main objective of this article is to identify the critical success factors (CSFs) for Business Intelligence (BI) systems implementation in small and medium enterprises (SMEs).The structure of the article is subordinated to this objective. The paper identifies the term Business Intelligence, characteristics of Business Intelligence systems, and various perspectives of their development. Then...