Philosophers of experiment have acknowledged that experiments are often more than mere hypothesis-tests, once thought to be an experiment's exclusive calling. Drawing on examples from contemporary biology, I make an additional amendment to our understanding of experiment by examining the way that `wide' instrumentation can, for reasons of efficiency, lead scientists away from traditional hypothesis-directed methods of experimentation and towards exploratory methods.

The old ritual word macte was only vaguely understood even in Republican times. As is well known, the ancient critics connected the word with magis, magnus, and explained it as magis auctus. A glance at Walde's Wörterbuch reveals that many attempts have been made in modern times to solve the mystery; but the formidable equipment of the modern philologist has yielded little better results than the popular etymology of the ancients, the most favoured view to-day seeing in mactus the PPP (...) of a verb mago with macto as the frequentative which replaces it. The supposed semantic development of this verb, originally meaning ‘to increase’, has been set forth by Warde Fowler in a well-known passage, to which recent authorities have accorded their assent and praise: ‘the vitality of the deity … was really increased by placing on the altar the organs of life of the victim’. But this is a solution which ignores half the problem: macte and mactare are used not only of the deities but also of the victim. One can perhaps understand lovem mactare as ‘to magnify J.’, but not even by the most superficial analogy can we find a transition from here to the meaning typified in mactare vinum. Yet this is one of the most frequent usages of the word. So deep a gulf lies between the two semantic spheres of the verb that some scholars have sought to find in it two different verbs. But this is a counsel of despair which the editor of the Thesaurus dismisses with a non recte. We must agree, then, with Hey that the modern explanation is ‘sicher eine unrichtige’ and with Meillet-Ernout that there exists ‘aucune étymologie claire’. It is, therefore, surprising that so ill-founded a preconception should lead investigators to ignore or even dismiss important evidence which the ancient authorities offer for the solution of this problem. (shrink)

L. R. Reinhardt; III—Dualism and Categories, Proceedings of the Aristotelian Society, Volume 66, Issue 1, 1 June 1966, Pages 71–92, https://doi.org/10.1093/aris.

L R Perry; Training and Education, Journal of Philosophy of Education, Volume 6, Issue 1, 30 May 2006, Pages 7–29, https://doi.org/10.1111/j.1467-9752.1972.tb00.

Within the framework of Neurological Positivism this article describes how brain algorithms are translated into mathematics in ontogeny and in culture. The purpose is to address seemingly contradictory research findings that suggest that while mathematical axioms are innate, they are not the direct result of processes of selection. It is proposed that self-referencing feedback processes of maximum-power evolution guide the construction of algorithmic isomorphies between preadapted brain algorithms and mathematics. It is concluded that maximum-power evolution as described in NP offers (...) mechanisms that make sense of findings that suggest that mathematical axioms are innate, yet not directly the result of selection as traditionally understood. It is concluded also that these mechanisms provide insight into the often intuitive nature of mathematical discovery. (shrink)

In this book, Mark Rowlands challenges the Cartesian view of the mind as a self-contained monadic entity, and offers in its place a radical externalist or environmentalist model of cognitive processes. Drawing on both evolutionary theory and a detailed examination of the processes involved in perception, memory, thought and language use, Rowlands argues that cognition is, in part, a process whereby creatures manipulate and exploit relevant objects in their environment. This innovative book provides a foundation for an unorthodox but increasingly (...) popular view of the nature of cognition. (shrink)

"Remarkable how well Bouwsma understood Wittgenstein's approach to philosophical problems and how intelligently he was able to recount Wittgenstein's discussions. The bits about sensation are especially good. And the asides about the other philosophers--e.g. Dewey, Russell, Anscombe--are, while not frivolous, gossipy and titillating." --Riley Wallihan, Western Oregon University.

Downey and Remmel have completely characterized the degrees of c.e. bases for c.e. vector spaces (and c.e. fields) in terms of weak truth table degrees. In this paper we obtain a structural result concerning the interaction between the c.e. Turing degrees and the c.e. weak truth table degrees, which by Downey and Remmel's classification, establishes the existence of c.e. vector spaces (and fields) with the strong antibasis property (a question which they raised). Namely, we construct c.e. sets $B<_{\rm T}A$ such (...) that the c.e. W-degrees below that of A are disjoint from the nonzero c.e. T-degrees below that of A and comparable to that of B. (shrink)

In the course of writing this book, answers to the following questions and many others were given in both narrative and visual form. Most of them were presented rather forcefully, and not when I was expecting them. I understood that I was to share what I learned. What is in store for the geology of North America? How do we create matter every day? What is the nature of nature? How did people live more than a half million years ago? (...) What was space travel like a half million years ago? Where is God? What are our responsibilities as humans? Is Hitler in heaven? How can we go to heaven? (shrink)

Whether any apology is possible for the form of this paper is doubtful; but perhaps a few words are allowable. The miscellaneous notes, of which it consists, are fairly well described by the title: at all events, the proposals contained in them—with, I fear, many others—have been pencilled at one time or another in one margin or another. Their age varies widely: two or three must go back to days when my only complete Euripides was Kirchhoff's editio minor and my (...) only Sophocles a copy of Tournier; the most date from middle age or ‘quidquid est illud inter iuvenem et senem medium in utriusque confinio positum’; but, whenever they were made, they were not made by a student of the Greek dramatists commanding the equipment that such a student ought to have. The equipment, in any case, was out of my reach; but, though I have read the plays often, I have read them only because the ancients have a way of enabling one to forget the moderns—as I was informed in my youth by an excellent scholar who has now forgotten both. I hope, therefore, that anyone who may happen to read the paper will overlook some errors and ignorances of the amateur; and, above all, if I may borrow a sentence from Markland's preface to his emendations on Lysias, ‘si quando dictatoria ista, Lege, vel Scribe, occurrent, scito me nihil aliud velle quam Forte legendum vel scribendum’. (shrink)

In computer science, an algorithm is an unambiguous specification of how to solve a class of problems. Algorithms can perform calculation, data processing and automated reasoning tasks. As an effective method, an algorithm can be expressed within a finite amount of space and time and in a well-defined formal language for calculating a function. Starting from an initial state and initial input (perhaps empty), the instructions describe a computation that, when executed, proceeds through a finite number of well-defined successive states, (...) eventually producing "output" and terminating at a final ending state. The transition from one state to the next is not necessarily deterministic; some algorithms, known as randomized algorithms, incorporate random input. This book introduces a set of concepts in solving problems computationally such as Growth of Functions; Backtracking; Divide and Conquer; Greedy Algorithms; Dynamic Programming; Elementary Graph Algorithms; Minimal Spanning Tree; Single-Source Shortest Paths; All Pairs Shortest Paths; Flow Networks; Polynomial Multiplication, to ways of solving NP-Complete Problems, supported with comprehensive, and detailed problems and solutions, making it an ideal resource to those studying computer science, computer engineering and information technology. (shrink)

Open peer commentary on the target article “Who Conceives of Society?” by Ernst von Glasersfeld. Excerpt: In the light of the almost brilliant equilibrium of the author, who manages to compose a resourceful explanation, switching between the notional conditionality and the expected contextual understanding, I intend to focus on the interdisciplinary potential of some suggestions that offer new perspectives on conceiving society, which are driven by a non-analytical and holistic vision.