THE SCIENTIFIC METHOD and the LAW by Bemvam L
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
There Is No Pure Empirical Reasoning
There Is No Pure Empirical Reasoning 1. Empiricism and the Question of Empirical Reasons Empiricism may be defined as the view there is no a priori justification for any synthetic claim. Critics object that empiricism cannot account for all the kinds of knowledge we seem to possess, such as moral knowledge, metaphysical knowledge, mathematical knowledge, and modal knowledge.1 In some cases, empiricists try to account for these types of knowledge; in other cases, they shrug off the objections, happily concluding, for example, that there is no moral knowledge, or that there is no metaphysical knowledge.2 But empiricism cannot shrug off just any type of knowledge; to be minimally plausible, empiricism must, for example, at least be able to account for paradigm instances of empirical knowledge, including especially scientific knowledge. Empirical knowledge can be divided into three categories: (a) knowledge by direct observation; (b) knowledge that is deductively inferred from observations; and (c) knowledge that is non-deductively inferred from observations, including knowledge arrived at by induction and inference to the best explanation. Category (c) includes all scientific knowledge. This category is of particular import to empiricists, many of whom take scientific knowledge as a sort of paradigm for knowledge in general; indeed, this forms a central source of motivation for empiricism.3 Thus, if there is any kind of knowledge that empiricists need to be able to account for, it is knowledge of type (c). I use the term “empirical reasoning” to refer to the reasoning involved in acquiring this type of knowledge – that is, to any instance of reasoning in which (i) the premises are justified directly by observation, (ii) the reasoning is non- deductive, and (iii) the reasoning provides adequate justification for the conclusion. -
Observational Determinism for Concurrent Program Security
Observational Determinism for Concurrent Program Security Steve Zdancewic Andrew C. Myers Department of Computer and Information Science Computer Science Department University of Pennsylvania Cornell University [email protected] [email protected] Abstract This paper makes two contributions. First, it presents a definition of information-flow security that is appropriate for Noninterference is a property of sequential programs that concurrent systems. Second, it describes a simple but ex- is useful for expressing security policies for data confiden- pressive concurrent language with a type system that prov- tiality and integrity. However, extending noninterference to ably enforces security. concurrent programs has proved problematic. In this pa- Notions of secure information flow are usually based on per we present a relatively expressive secure concurrent lan- noninterference [15], a property only defined for determin- guage. This language, based on existing concurrent calculi, istic systems. Intuitively, noninterference requires that the provides first-class channels, higher-order functions, and an publicly visible results of a computation do not depend on unbounded number of threads. Well-typed programs obey a confidential (or secret) information. Generalizing noninter- generalization of noninterference that ensures immunity to ference to concurrent languages is problematic because these internal timing attacks and to attacks that exploit informa- languages are naturally nondeterministic: the order of execu- tion about the thread scheduler. Elimination of these refine- tion of concurrent threads is not specified by the language se- ment attacks is possible because the enforced security prop- mantics. Although this nondeterminism permits a variety of erty extends noninterference with observational determin- thread scheduler implementations, it also leads to refinement ism. -
Some Thoughts About Natural Law
Some Thoughts About Natural Law Phflip E. Johnsont My first task is to define the subject. When I use the term "natural" law, I am distinguishing the category from other kinds of law such as positive law, divine law, or scientific law. When we discuss positive law, we look to materials like legislation, judicial opinions, and scholarly anal- ysis of these materials. If we speak of divine law, we ask if there are any knowable commands from God. If we look for scientific law, we conduct experiments, or make observations and calculations, in order to come to objectively verifiable knowledge about the material world. Natural law-as I will be using the term in this essay-refers to a method that we employ to judge what the principles of individual moral- ity or positive law ought to be. The natural law philosopher aspires to make these judgments on the basis of reason and human nature without invoking divine revelation or prophetic inspiration. Natural law so defined is a category much broader than any particular theory of natural law. One can believe in the existence of natural law without agreeing with the particular systems of natural law advocates like Aristotle or Aquinas. I am describing a way of thinking, not a particular theory. In the broad sense in which I am using the term, therefore, anyone who attempts to found concepts of justice upon reason and human nature engages in natural law philosophy. Contemporary philosophical systems based on feminism, wealth maximization, neutral conversation, liberal equality, or libertarianism are natural law philosophies. -
Scientific Explanation
Scientific Explanation Michael Strevens For the Macmillan Encyclopedia of Philosophy, second edition The three cardinal aims of science are prediction, control, and expla- nation; but the greatest of these is explanation. Also the most inscrutable: prediction aims at truth, and control at happiness, and insofar as we have some independent grasp of these notions, we can evaluate science’s strate- gies of prediction and control from the outside. Explanation, by contrast, aims at scientific understanding, a good intrinsic to science and therefore something that it seems we can only look to science itself to explicate. Philosophers have wondered whether science might be better off aban- doning the pursuit of explanation. Duhem (1954), among others, argued that explanatory knowledge would have to be a kind of knowledge so ex- alted as to be forever beyond the reach of ordinary scientific inquiry: it would have to be knowledge of the essential natures of things, something that neo-Kantians, empiricists, and practical men of science could all agree was neither possible nor perhaps even desirable. Everything changed when Hempel formulated his dn account of ex- planation. In accordance with the observation above, that our only clue to the nature of explanatory knowledge is science’s own explanatory prac- tice, Hempel proposed simply to describe what kind of things scientists ten- dered when they claimed to have an explanation, without asking whether such things were capable of providing “true understanding”. Since Hempel, the philosophy of scientific explanation has proceeded in this humble vein, 1 seeming more like a sociology of scientific practice than an inquiry into a set of transcendent norms. -
The Law and the Brain: Judging Scientific Evidence of Intent
The Journal of Appellate Practice and Process Volume 1 Issue 2 Article 4 1999 The Law and the Brain: Judging Scientific videnceE of Intent Erica Beecher-Monas Edgar Garcia-Rill Follow this and additional works at: https://lawrepository.ualr.edu/appellatepracticeprocess Part of the Evidence Commons, Jurisprudence Commons, and the Science and Technology Law Commons Recommended Citation Erica Beecher-Monas and Edgar Garcia-Rill, The Law and the Brain: Judging Scientific videnceE of Intent, 1 J. APP. PRAC. & PROCESS 243 (1999). Available at: https://lawrepository.ualr.edu/appellatepracticeprocess/vol1/iss2/4 This document is brought to you for free and open access by Bowen Law Repository: Scholarship & Archives. It has been accepted for inclusion in The Journal of Appellate Practice and Process by an authorized administrator of Bowen Law Repository: Scholarship & Archives. For more information, please contact [email protected]. THE LAW AND THE BRAIN: JUDGING SCIENTIFIC EVIDENCE OF INTENT Erica Beecher-Monas* and Edgar Garcia-Rill, Ph.D.** INTRODUCTION As evidentiary gatekeepers, judges must be ready to evaluate expert testimony about science and the brain. A wide variety of cases present issues of mental state, many doubtless with battling experts seeking to testify on these issues. This poses a dilemma for nonspecialist judges. How is a nonscientist to judge scientific evidence? How can a nonscientist decide if testimony about mental state meets the criteria of good science? This essay offers a general overview of the issue of evaluating scientific evidence and is aimed at exploring the issues involved, but not attempting easy answers. Of necessity, this requires thinking about how science works. -
Two Concepts of Law of Nature
Prolegomena 12 (2) 2013: 413–442 Two Concepts of Law of Nature BRENDAN SHEA Winona State University, 528 Maceman St. #312, Winona, MN, 59987, USA [email protected] ORIGINAL SCIENTIFIC ARTICLE / RECEIVED: 04–12–12 ACCEPTED: 23–06–13 ABSTRACT: I argue that there are at least two concepts of law of nature worthy of philosophical interest: strong law and weak law . Strong laws are the laws in- vestigated by fundamental physics, while weak laws feature prominently in the “special sciences” and in a variety of non-scientific contexts. In the first section, I clarify my methodology, which has to do with arguing about concepts. In the next section, I offer a detailed description of strong laws, which I claim satisfy four criteria: (1) If it is a strong law that L then it also true that L; (2) strong laws would continue to be true, were the world to be different in some physically possible way; (3) strong laws do not depend on context or human interest; (4) strong laws feature in scientific explanations but cannot be scientifically explained. I then spell out some philosophical consequences: (1) is incompatible with Cartwright’s contention that “laws lie” (2) with Lewis’s “best-system” account of laws, and (3) with contextualism about laws. In the final section, I argue that weak laws are distinguished by (approximately) meeting some but not all of these criteria. I provide a preliminary account of the scientific value of weak laws, and argue that they cannot plausibly be understood as ceteris paribus laws. KEY WORDS: Contextualism, counterfactuals, David Lewis, laws of nature, Nancy Cartwright, physical necessity. -
1.) What Is the Difference Between Observation and Interpretation? Write a Short Paragraph in Your Journal (5-6 Sentences) Defining Both, with One Example Each
Observation and Response: Creative Response Template can be adapted to fit a variety of classes and types of responses Goals: Students will: • Practice observation skills and develop their abilities to find multiple possibilities for interpretation and response to visual material; • Consider the difference between observation and interpretation; • Develop descriptive skills, including close reading and metaphorical description; • Develop research skills by considering a visual text or object as a primary source; • Engage in creative response to access and communicate intellectually or emotionally challenging material. Observation exercises Part I You will keep a journal as you go through this exercise. This can be a physical notebook that pleases you or a word document on your computer. At junctures during the exercise, you will be asked to comment, define, reflect, and create in your journal on what you just did. Journal responses will be posted to Canvas at the conclusion of the exercise, either as word documents or as Jpegs. 1.) What is the difference between observation and interpretation? Write a short paragraph in your journal (5-6 sentences) defining both, with one example each. 2.) Set a timer on your phone or computer (or oven…) and observe the image provided for 1 minute. Quickly write a preliminary research question about it. At first glance, what are you curious about? What do you want to know? 3.) Set your timer for 5 minutes and write as many observations as possible about it. Try to keep making observations, even when you feel stuck. Keep returning to the question, “What do I see?” No observation is too big or too small, too obvious or too obscure. -
Ast#: ___Science Knowledge Study Guide Physical
Name: ______________________________ Pd: ___ Ast#: _____ Science Knowledge Study Guide Physical Science Honors Provide a short response to the following prompts. 1. Describe how scientific knowledge is affected by new evidence (if the new evidence does NOT support the current understanding). Scientific knowledge grows and changes as new evidence is uncovered. 2. What is scientific knowledge built from? (list 3 things) Continuous testing and observation Debate (argumentation) All contribute to the EMPIRICAL EVIDENCE Confirmation (repetition & replication) 3. Why is it important that we use phrases such as “the results suggest…” or “the evidence supports…” rather than using words such as “prove” or “proof”? Using words such as “prove” violate the tentative nature of science. They imply that scientific knowledge is concrete and unchanging. However, scientific knowledge must remain open to change. 4. Under what circumstances will a scientific theory become a law? Explain. A scientific theory will NEVER become a scientific law; it cannot, nor is it supposed to. A scientific theory and a scientific law are two different things with different purposes (an apple will never become an orange). 5. Why are scientific theories rarely discarded (completely abandoned), even when new evidence doesn’t fit within the current theory? Scientific theories are rarely completely discarded because they are heavily-tested and well-supported explanations. It is rare that new evidence completely invalidates a theory; rather, it is more likely that the theory can be “tweaked” or changed slightly to accommodate the new evidence. 6. What represents the BEST explanation that science can offer? Scientific theories represent the best explanations science has to offer. -
Achievements and Fallacies in Hume's Account of Infinite
-1- ACHIEVEMENTS AND FALLACIES IN HUME’S ACCOUNT OF INFINITE DIVISIBILITY James Franklin Hume Studies 20 (1994): 85-101 Throughout history,almost all mathematicians, physicists and philosophers have been of the opinion that space and time are infinitely divisible. That is, it is usually believedthat space and time do not consist of atoms, but that anypiece of space and time of non-zero size, howeversmall, can itself be divided into still smaller parts. This assumption is included in geometry,asinEuclid, and also in the Euclidean and non- Euclidean geometries used in modern physics. Of the fewwho have denied that space and time are infinitely divisible, the most notable are the ancient atomists, and Berkeleyand Hume. All of these assert not only that space and time might be atomic, but that theymust be. Infinite divisibility is, theysay, impossible on purely conceptual grounds. In the hundred years or so before Hume’s Tr eatise, there were occasional treatments of the matter,in places such as the Port Royal Logic, and Isaac Barrow’smathematical lectures of the 1660’s, 1 Theydonot add anything substantial to medievaltreatments of the same topic. 2 Mathematicians certainly did not take seriously the possibility that space and time might be atomic; Pascal, for example, instances the Chevalier de Me´re´’s belief in atomic space as proof of his total incompetence in mathematics. 3 The problem acquired amore philosophical cast when Bayle, in his Dictionary, tried to showthat both the assertion and the denial of the infinite divisibility of space led to contradictions; the problem thus appears as a general challenge to "Reason". -
PDF Download Starting with Science Strategies for Introducing Young Children to Inquiry 1St Edition Ebook
STARTING WITH SCIENCE STRATEGIES FOR INTRODUCING YOUNG CHILDREN TO INQUIRY 1ST EDITION PDF, EPUB, EBOOK Marcia Talhelm Edson | 9781571108074 | | | | | Starting with Science Strategies for Introducing Young Children to Inquiry 1st edition PDF Book The presentation of the material is as good as the material utilizing star trek analogies, ancient wisdom and literature and so much more. Using Multivariate Statistics. Michael Gramling examines the impact of policy on practice in early childhood education. Part of a series on. Schauble and colleagues , for example, found that fifth grade students designed better experiments after instruction about the purpose of experimentation. For example, some suggest that learning about NoS enables children to understand the tentative and developmental NoS and science as a human activity, which makes science more interesting for children to learn Abd-El-Khalick a ; Driver et al. Research on teaching and learning of nature of science. The authors begin with theory in a cultural context as a foundation. What makes professional development effective? Frequently, the term NoS is utilised when considering matters about science. This book is a documentary account of a young intern who worked in the Reggio system in Italy and how she brought this pedagogy home to her school in St. Taking Science to School answers such questions as:. The content of the inquiries in science in the professional development programme was based on the different strands of the primary science curriculum, namely Living Things, Energy and Forces, Materials and Environmental Awareness and Care DES Exit interview. Begin to address the necessity of understanding other usually peer positions before they can discuss or comment on those positions. -
Principles of Scientific Inquiry
Chapter 2 PRINCIPLES OF SCIENTIFIC INQUIRY Introduction This chapter provides a summary of the principles of scientific inquiry. The purpose is to explain terminology, and introduce concepts, which are explained more completely in later chapters. Much of the content has been based on explanations and examples given by Wilson (1). The Scientific Method Although most of us have heard, at some time in our careers, that research must be carried out according to “the scientific method”, there is no single, scientific method. The term is usually used to mean a systematic approach to solving a problem in science. Three types of investigation, or method, can be recognized: · The Observational Method · The Experimental (and quasi-experimental) Methods, and · The Survey Method. The observational method is most common in the natural sciences, especially in fields such as biology, geology and environmental science. It involves recording observations according to a plan, which prescribes what information to collect, where it should be sought, and how it should be recorded. In the observational method, the researcher does not control any of the variables. In fact, it is important that the research be carried out in such a manner that the investigations do not change the behaviour of what is being observed. Errors introduced as a result of observing a phenomenon are known as systematic errors because they apply to all observations. Once a valid statistical sample (see Chapter Four) of observations has been recorded, the researcher analyzes and interprets the data, and develops a theory or hypothesis, which explains the observations. The experimental method begins with a hypothesis. -
Contrastive Empiricism
Elliott Sober Contrastive Empiricism I Despite what Hegel may have said, syntheses have not been very successful in philosophical theorizing. Typically, what happens when you combine a thesis and an antithesis is that you get a mishmash, or maybe just a contradiction. For example, in the philosophy of mathematics, formalism says that mathematical truths are true in virtue of the way we manipulate symbols. Mathematical Platonism, on the other hand, holds that mathematical statements are made true by abstract objects that exist outside of space and time. What would a synthesis of these positions look like? Marks on paper are one thing, Platonic forms an other. Compromise may be a good idea in politics, but it looks like a bad one in philosophy. With some trepidation, I propose in this paper to go against this sound advice. Realism and empiricism have always been contradictory tendencies in the philos ophy of science. The view I will sketch is a synthesis, which I call Contrastive Empiricism. Realism and empiricism are incompatible, so a synthesis that merely conjoined them would be a contradiction. Rather, I propose to isolate important elements in each and show that they combine harmoniously. I will leave behind what I regard as confusions and excesses. The result, I hope, will be neither con tradiction nor mishmash. II Empiricism is fundamentally a thesis about experience. It has two parts. First, there is the idea that experience is necessary. Second, there is the thesis that ex perience suffices. Necessary and sufficient for what? Usually this blank is filled in with something like: knowledge of the world outside the mind.