Model-Based Science and the Ethics of Ongoing Treatment Negotiation

2014 ◽  
Author(s):  
Douglas W. Heinrichs
Keyword(s):  
Medical Ethics ◽  
Philosophy Of Science ◽  
Scientific Method ◽  
Autonomous Agents ◽  
Treatment Decisions ◽  
Optimal Treatment ◽  
Scientific Process ◽  
Model Based ◽  
Current Thinking ◽  
Evidence In Medicine

Current thinking in medical ethics posits that treatment decisions should result from negotiation between clinician and patient as autonomous agents. However the view of science that underlies most thinking about evidence in medicine encourages the belief that in principle optimal evi-dence-based judgment as to best treatments can be reached by the clinician apart from such ne-gotiation, reducing negotiation to a sham process. A model-based notion of science, derived from a naturalistic philosophy of science, argues that the process of predicting optimal treatment re-quires consideration of a patient’s goals, and thus requires ongoing negotiations with the patient. Hence values are integral to the scientific process, not something extra-scientific that must be reconciled with it. From this perspective the clinician’s activity becomes one with scientific method rather than an ill-defined, and typically undervalued, art.

The Fix We Are In

2017 ◽  
Vol 2 (1) ◽  
pp. 75-87
Author(s):  
Richard Hudelson
Keyword(s):  
Twentieth Century ◽  
Working Class ◽  
Philosophy Of Science ◽  
Political Theory ◽  
Labor Movement ◽  
Philosophy Of History ◽  
Science Ethics ◽  
Current Thinking ◽  
Grand Strategies

I have been thinking about the history and future of the labor movement for fifty years. As an academic in philosophy I have focused my research on the intersections of the global labor movement with philosophy of history, philosophy of science, ethics, economics, and political theory. ‘The Fix We Are In’ is a summary of my current thinking. At present the grand strategies for emancipation, ascendant in the mid-twentieth century, have faltered. Headless capitalism runs amuck. The conditions of the working class deteriorate. There is no vision of a better world—no clear pathway toward a better future. The ‘popular revolt’ bubbling up around the globe is a product of this moment. My paper concludes with a difficulty regarding my own favored way forward. Responses from readers would be welcome at: [email protected].

Scientific Change

2018 ◽  
Author(s):  
Anouk Barberousse
Keyword(s):  
Philosophy Of Science ◽  
History Of Science ◽  
Scientific Method ◽  
Scientific Progress ◽  
Scientific Change ◽  
General Question ◽  
Scientific Enterprise ◽  
History Of ◽  
Dynamics Of Science

How should we think of the dynamics of science? What are the relationships between an earlier theory and the theory that has superseded it? This chapter introduces the heated debates on the nature of scientific change, at the intersection of philosophy of science and history of science, and their bearing on the more general question of the rationality of the scientific enterprise. It focuses on the issue of the continuity or discontinuity of scientific change and the various versions of the incommensurability thesis one may uphold. Historicist views are balanced against nagging questions regarding scientific progress (Is there such a thing? If so, how should it be defined?), the causes of scientific change (Are they to be found within scientific method itself?), and its necessity (Is the history of scientific developments an argument in favor of realism, or could we have had entirely different sciences?).

1. The methods and fruits of science

2021 ◽  
pp. 7-22
Author(s):  
David Wallace
Keyword(s):  
Dark Matter ◽  
Philosophy Of Science ◽  
Scientific Realism ◽  
Scientific Method ◽  
Scientific Theories ◽  
Real Science ◽  
The World ◽  
Key Topics ◽  
Theory Test

This chapter briefly discusses central key topics in the philosophy of science that the remainder of the book draws upon. It begins by considering the scientific method. ‘Induction’—the idea that we construct scientific theories just by generalizing from observations—is a very poor match to real science. ‘Falsification’—Popper’s idea that we create a theory, test against observation, and discard it if it fails the test—is much more realistic, but still too simple: data only falsifies data given auxiliary assumptions that can themselves be doubted. The issues are illustrated through an example from modern astrophysics: dark matter. The chapter then explores how we can resolve issues of underdetermination, where two theories give the same predictions. Finally, it introduces ‘scientific realism’, the view that our best theories tell us things about the world that go beyond what is directly observable.

scholarly journals Demonstration, extension, and refinement of the re-proposed notion of design abduction

2020 ◽  
Vol 34 (2) ◽  
pp. 286-297
Author(s):  
Lauri Koskela ◽  
Ehud Kroll
Keyword(s):  
Philosophy Of Science ◽  
Retrospective Case ◽  
Model Based ◽  
Design Reasoning ◽  
Retrospective Case Study ◽  
New Hypothesis

AbstractThe original ideas on design abduction, inspired by treatments in philosophy of science, had a narrow conception on how novelty emerges in design, when looked at in terms of logic. The authors have previously presented a re-proposed notion of abduction in design, taking the differences between science and design into account. Now, in this article, the invention of the airplane by the Wright brothers is analyzed as a retrospective case study. Key parts of the re-proposed notion of design abduction are demonstrated, and two new types of design abduction are identified, namely strategic abduction and dynamic abduction. Perhaps even more importantly, a new hypothesis on the cognitive basis of design abduction is reached. While the importance of model-based abduction (and reasoning) is confirmed, the case also pinpoints the central role of verbalization and discussion in supporting design reasoning in general and especially abduction. All in all, it seems that an improved understanding of design abduction and its cognitive basis would be instrumental in promoting more effective and efficient designing.

Does Popper Explain Historical Explanation?

1995 ◽  
Vol 39 ◽  
pp. 225-240
Author(s):  
Kenneth Minogue
Keyword(s):  
Social Sciences ◽  
Free Will ◽  
Philosophy Of Science ◽  
Religious Belief ◽  
Scientific Method ◽  
History Of Philosophy ◽  
Historical Explanation ◽  
The Social ◽  
History Of

It is one of Karl Popper's great distinctions that he has an intense—some would say too intense—awareness of the history of philosophy within which he works. He knows not only its patterns, but also its comedies, and sometimes he plays rhetorically against their grain. He knows, for example, that the drive to consistency tends to turn philosophy into compositions of related doctrines, each seeming to involve the others. Religious belief, for example, tends to go with idealism and free will, religious scepticism with materialism and determinism. Popper does not believe in a religion, was for long some kind of a socialist, and takes his bearings from the philosophy of science. Aha! it seems we have located him. Here is a positivist, a materialist, probably a determinist. But of course he denies he is any of these things. Again, like many modern thinkers, he wants to extend scientific method not only to the social sciences but also to history. So far so familiar, until we discover that he regards nature as no less ‘cloudy’ than human societies.

Introduction

2018 ◽  
Author(s):  
Brian D. Haig
Keyword(s):  
Philosophy Of Science ◽  
Research Methods ◽  
Scientific Realism ◽  
Scientific Method ◽  
Quantitative Research ◽  
Quantitative Research Methods

Chapter 1 discusses the importance and relevance of the philosophy of science for an in-depth understanding of quantitative research methods. It outlines a philosophy of scientific realism in terms of its methodology and introduces major theories of scientific method. This introductory chapter provides key ideas that should help make sense of the treatment of the five methods dealt with in the book. Three major theories of scientific method are sketched because they figure in some of the ensuing chapters. An overview of the book is provided in terms of chapter summaries. A note for the reader is provided that indicates why a limited number of methods were selected for consideration.

Fabrication of Grain-Aligned Bulks and Thick Films of Misfit Layered Cobalt Oxides by a Magneto-Scientific Process

2005 ◽  
Vol 886 ◽  
Author(s):  
Shigeru Horii ◽  
Taichi Okamoto ◽  
Toshiaki Kumagai ◽  
Tetsuo Uchikoshi ◽  
Tohru S. Suzuki ◽  
...  
Keyword(s):  
Scientific Method ◽  
Easy Axis ◽  
Thick Films ◽  
Partial Substitution ◽  
Magnetic Alignment ◽  
Cobalt Oxides ◽  
High Deposition Rate ◽  
Alignment Method ◽  
Scientific Process ◽  
Axis Parallel

ABSTRACTWe report the preparation of grain-aligned [Ca2CoO3−δ]0.62CoO2 (Ca349) thick films and the conversion of the easy axis of magnetization from the a-axis to the c-axis. The thick films were fabricated by a simultaneous usage of electrophoretic deposition and magnetic alignment methods (MEPD) at high deposition rate with the order of 10 mm/min. Moreover, a multi-layered thick film of Al2O3/Ca349/Al2O3/Ca0.9La0.1MnO3/Al2O3 was also fabricated by the MEPD method by the optimization of condition of each suspension. The conversion of the easy axis was performed crystallochemically for a [Bi2Sr2O4]0.55CoO2 (BiSr222) compound with the easy axis parallel to the a-axis in order to fabricate c-axis grain-oriented bulks by the magnetic alignment method. The substitution of Ca for Sr in the [(Bi0.5Pb0.5)2Sr2O4] block layer induced the change of the easy axis into the c-axis direction, and the magnetic anisotropy was increased by the partial substitution of rare earth elements of Pr, Nd, Tb and Dy for Ca. Using a compound of [(Bi0.5Pb0.5)2(Ca0.8Pr0.2)2O4]0.55CoO2, we have successfully prepared the c-axis grain-aligned bulk by the magneto-scientific method. Our present results indicate that the magneto-scientific method is one of the useful and realistic processes for production of thermoelectric modules.

Building machines that learn and think for themselves

2017 ◽  
Vol 40 ◽  
Author(s):  
Matthew Botvinick ◽  
David G. T. Barrett ◽  
Peter Battaglia ◽  
Nando de Freitas ◽  
Darshan Kumaran ◽  
...  
Keyword(s):  
Real World ◽  
Autonomous Agents ◽  
Internal Models ◽  
Autonomous Learning ◽  
Human Hand ◽  
Formal Models ◽  
Model Based

AbstractWe agree with Lake and colleagues on their list of “key ingredients” for building human-like intelligence, including the idea that model-based reasoning is essential. However, we favor an approach that centers on one additional ingredient: autonomy. In particular, we aim toward agents that can both build and exploit their own internal models, with minimal human hand engineering. We believe an approach centered on autonomous learning has the greatest chance of success as we scale toward real-world complexity, tackling domains for which ready-made formal models are not available. Here, we survey several important examples of the progress that has been made toward building autonomous agents with human-like abilities, and highlight some outstanding challenges.

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