Diese Ausgabe der Kategorienlehre Eduard von Hartmanns vereint alle drei Bande, die 1923 von Fritz Kern unter Beachtung der Verfasserhandschrift herausgegeben wurden. Im Mittelpunkt seiner Lehre steht fur Hartmann der Begriff der Kategorie, mit dem er eine unbewusste Intellektualfunktion von bestimmter Art und Weise oder eine unbewusste logische Determination, die eine bestimmte Beziehung setzt, bezeichnet. In den Kategorien der Sinnlichkeit" (erster Band), den Kategorien des reflektierenden Denkens" (zweiter Band) und den Kategorien des spekulativen Denkens" (dritter Band) werden die (...) Kategorien sodann erstens in der subjektiv idealen, zweitens in der objektiv realen und drittens in der metaphysischen Sphare behandelt. Demgemass bietet Hartmanns Werk mit dem ersten Band eine Erkenntnistheorie am Leitfaden der Kategorien, mit dem zweiten Band eine kategoriale Grundlegung der Naturphilosophie und mit dem dritten Band schliesslich eine Metaphysik. Unverandertes Reprint der Ausgabe von 1923.". (shrink)

"Vortrag, gehalten auf der Vortragsveranstaltung der Nieders'achsischen Landesregierung am 15. Mai 1975.".

In order to appreciate the role of the phenomenon of shame in the context of the clinic – both as normal self evaluation and as neurotic response – a philosophical anthropological description of shame is offered. Not only are Biblical metaphors recast, but more recent phenomenological psychological descriptions taken from Max Scheler and others are cited. These necessarily require some account of the patient's body in shame, taken from both his perspective and the physician's. In short, the corporeality of shame (...) is constituted as "ce que enveloppe le corps". Keywords: Shame, Behavior CiteULike Connotea Del.icio.us What's this? (shrink)

Coherence considerations play an important role in science and in everyday reasoning. However, it is unclear what exactly is meant by coherence of information and why we prefer more coherent information over less coherent information. To answer these questions, we first explore how to explicate the dazzling notion of ``coherence'' and how to measure the coherence of an information set. To do so, we critique prima facie plausible proposals that incorporate normative principles such as ``Agreement'' or ``Dependence'' and then argue (...) that the coherence of an information set is best understood as an indicator of the truth of the set under certain conditions. Using computer simulations, we then show that a new probabilistic measure of coherence that combines aspects of the two principles above, but without strictly satisfying either principle, performs particularly well in this regard. (shrink)

A conjunction of two hypotheses may provide a better explanation than either one of them individually, even if each already provides a good explanation on its own. An appropriate measure of explanatory power should reflect this, but none of the measures discussed in the literature do so because they only consider how much an explanatory hypothesis reduces our surprise at the evidence – which is problematic. This chapter introduces and defends a class of coherentist measures of explanatory power, and shows (...) that one particular such measure that combines different intuitions underlying the epistemological notion of coherence overcomes the aforementioned problems of surprise reduction measures. (shrink)

Conditionals pervade every aspect of our thinking, from the mundane and everyday such as ‘if you eat too much cheese, you will have nightmares’ to the most fundamental concerns as in ‘if global warming isn’t halted, sea levels will rise dramatically’. Many decades of research have focussed on the semantics of conditionals and how people reason from conditionals in everyday life. Here it has been rather overlooked how we come to such conditionals in the first place. In many cases, they (...) are learned through testimony: someone warns us about the ill-effects of cheese. Any full account of the conditional must consequently incorporate such learning. Here, we provide a new formal account of belief change in response to a testimonial conditional. (shrink)

Tae Wan Kim, John Hooker, and Thomas Donaldson make an attempt, in recent articles, to solve the alignment problem. As they define the alignment problem, it is the issue of how to give AI systems moral intelligence. They contend that one might program machines with a version of Kantian ethics cast in deontic modal logic. On their view, machines can be aligned with human values if such machines obey principles of universalization and autonomy, as well as a deontic utilitarian principle. (...) Programming machines to do so might be useful, in their view, for applications such as future autonomous vehicles. Their proposal draws both on traditional logic-based and contemporary connectionist approaches, to fuse factual information with normative principles. I will argue that this approach makes demands of machines that go beyond what is currently feasible, and may extend past the limits of the possible for AI. I also argue that a deontological ethics for machines should place greater stress on the formula of humanity of the Kantian categorical imperative. On this principle, one ought never treat a person as a mere means. Recognition of what makes a person a person requires ethical insight. Similar insight is needed to tell treatment as a means from treatment as a mere means. The resources in Kim, Hooker, and Donaldson’s approach is insufficient for this reason. Hesitation regarding deployment of autonomous machines is warranted in light of these alignment concerns. (shrink)

Simulation (von lat. simulare, engl. simulation, franz. simulation, ital. simulazione), Bezeichnung für die Nachahmung eines Prozesses durch einen anderen Prozeß. Beide Prozesse laufen auf einem bestimmten System ab. Simuliertes u. simulierendes System (der Simulator in der Kybernetik) können dabei auf gleichen oder unterschiedlichen Substraten realisiert sein.

There is a long philosophical tradition of addressing questions in philosophy of science and epistemology by means of the tools of Bayesian probability theory (see Earman (1992) and Howson and Urbach (1993)). In the late '70s, an axiomatic approach to conditional independence was developed within a Bayesian framework. This approach in conjunction with developments in graph theory are the two pillars of the theory of Bayesian Networks, which is a theory of probabilistic reasoning in artificial intelligence. The theory has been (...) very successful over the last two decades and has found a wide array of applications ranging from medical diagnosis to safety systems for hazardous industries. (shrink)

Reprint of the Knopf edition of 1972 with a new introduction by Fritz Stern. Now printed on acid-free paper. Annotation copyrighted by Book News, Inc., Portland, OR.

Bonjour (1985: 101 and 1999: 124) and other coherence theorists of justification before him (e.g. Ewing, 1934: 246) have complained that we do not have a satisfactory analysis of the notion of coherence. The problem with existing accounts of coherence is that they try to bring precision to our intuitive notion of coherence independently of the particular role that it is meant to play within the coherence theory of justification (e.g Lewis, 1946: 338). This is a mistake: it does not (...) make any sense to ask what precisely makes for a more coherent information set independently of the particular role that coherence is supposed to play within the context in question. What is this context and what is this role? The coherence theory of justification rides on a particular common sense intuition: when we gather information from less than fully reliable sources, then the more coherent the story that materializes is, the more confident we may be, ceteris paribus. Within the context of information gathering from certain types of sources, coherence is a property of stories which plays a confidence boosting role. But what features should the information sources have, so that the coherence of the information set is indeed a determinant of our degree of confidence in question? And what goes into the ceteris paribus clause? In other words, what other factors affect our confidence in the information set in question? (shrink)

We develop a probabilistic criterion for belief expansion that is sensitive to the degree of contextual fit of the new information to our belief set as well as to the reliability of our information source. We contrast our approach with the success postulate in AGM-style belief revision and show how the idealizations in our approach can be relaxed by invoking Bayesian-Network models.

Suppose that we acquire various items of information from various sources and that our degree of confidence in the content of the information set is sufficiently high to believe the information. Now a new item of information is being presented by a new information source. Are we justified to add this new item of information to what we already believe? Consider the following parable: “I go to a lecture about wildlife in Greenland which was supposed to be delivered by an (...) expert in the field. When I arrive I notice that the expert has excused himself and that the biology department has sent a newcomer to fill in for him. I have no beliefs about wildlife in Greenland, but I do have some beliefs about Greenland’s climate and about the kinds of climate conditions that various types of wildlife favor. Suppose that our newcomer proclaims that large colonies of elk roam in a particular valley on the southern tip of Greenland. Then I would certainly be willing to accept this item of information. But suppose that he proclaims that large colonies of armadillos roam in the same valley. Then I would not be willing to accept this item of information. Why do I accept the former but not the latter item of information? Let us suppose that neither item of information is logically inconsistent with what I already believe. Clearly, the former item of information is not inconsistent. But also the latter item is not: after all, there may be small pockets of Greenland with special climatological conditions and some Texan sailors may have set loose a pair of armadillos as a practical joke. But whereas the former item of information is quite plausible given my previous beliefs, the latter item of information is not. And this is what makes for the difference. Now suppose that our newcomer proclaims that large colonies of wild boars roam this valley in Greenland. I am not that sure anymore. Given everything I believe, I find wild boars in Greenland more plausible than armadillos in Greenland, but certainly less plausible than elk in Greenland. Had our expert presented the lecture and provided precisely the 2 same information, then I would have been willing to adopt the belief that there are wild boars in Greenland, but, with our newcomer delivering the lecture, I am not willing to do so. It is not that I would believe anything out of the expert’s mouth: also he could not have convinced me that there are armadillos in Greenland. But when it comes to wild boars, the difference between the expert’s and the newcomer’s credentials simply makes for the difference.” What we learn from this story is that the question of belief expansion has something to do with the reliability of the information source as well as with the plausibility of the new information, given what I already believe. The more reliable the information source is, the less plausible the new information needs to be given what I already believe, for me to be justified to add the belief to our belief set. The more plausible the new information is given what I already believe, the less reliable the information source needs to be given what I already believe, for me to be justified to add the belief to my belief set. The challenge is: can a precise account of this relationship be provided? (shrink)

In diesem Band stellt sich ein neues philosophisches Programm vor, das sich selbst als „Methodischer Kulturalismus“ begreift – eine Fortentwicklung des Methodischen Konstruktivismus. In den Arbeiten der in diesem Band vertretenen Philosophen hat sich eine Neuorientierung ergeben, die im Anliegen einer methodisch-systematischen Kulturkritik das ältere Programm einer Wissenschaftstheorie als Wissenschaftskritik in Richtung und Umfang verlässt.

This paper presents a challenge to conciliationist views of disagreement. I argue that conciliationists cannot satisfactorily explain why we need not revise our beliefs in response to certain moral disagreements. Conciliationists can attempt to meet this challenge in one of two ways. First, they can individuate disputes narrowly. This allows them to argue that we have dispute-independent reason to distrust our opponents’ moral judgment. This approach threatens to license objectionable dogmatism. It also inappropriately gives deep epistemic significance to superficial questions (...) about how to think about the subject matter of a dispute. Second, conciliationists can individuate disputes widely. This allows them to argue that we lack dispute-independent reason to trust our opponents’ moral judgment. But such arguments fail; our background of generally shared moral beliefs gives us good reason to trust the moral judgment of our opponents, even after we set quite a bit of our reasoning aside. On either approach, then, conciliationists should acknowledge that we have dispute-independent reason to trust the judgment of those who reject our moral beliefs. Given a conciliationist view of disagreement’s epistemic role, this has the unattractive result that we are epistemically required to revise some of our most intuitively secure moral beliefs. (shrink)

A consistent finding in research on conditional reasoning is that individuals are more likely to endorse the valid modus ponens (MP) inference than the equally valid modus tollens (MT) inference. This pattern holds for both abstract task and probabilistic task. The existing explanation for this phenomenon within a Bayesian framework (e.g., Oaksford & Chater, 2008) accounts for this asymmetry by assuming separate probability distributions for both MP and MT. We propose a novel explanation within a computational-level Bayesian account of reasoning (...) according to which “argumentation is learning”. We show that the asymmetry must appear for certain prior probability distributions, under the assumption that the conditional inference provides the agent with new information that is integrated into the existing knowledge by minimizing the Kullback-Leibler divergence between the posterior and prior probability distribution. We also show under which conditions we would expect the opposite pattern, an MT-MP asymmetry. (shrink)

Der Aufsatz verfolgt die Frage, welchem Wissenschaftstypus die Psychologie zuzuordnen ist, ob sie als eine Verlaufsgesetze aufstellende oder aber besser als eine hermeneutisch vorgehende Disziplin verstanden und betrieben werden soll. Dazu wird eine Systematik der Wissenschaften vorgeschlagen und die Psychologie darin eingeordnet. Davon ausgehend wird dafür argumentiert, dass die Psychologie als eine Realwissenschaft mit einem naturwissenschaftlichen und einem kulturwissenschaftlichen Zweig verstanden werden sollte, da sie sowohl technische als auch soziopolitische Praxen stützt.

This paper focuses on the question of how to resolve disagreement and uses the Lehrer-Wagner model as a formal tool for investigating consensual decision-making. The main result consists in a general definition of when agents treat each other as epistemic peers (Kelly 2005; Elga 2007), and a theorem vindicating the “equal weight view” to resolve disagreement among epistemic peers. We apply our findings to an analysis of the impact of social network structures on group deliberation processes, and we demonstrate their (...) stability with the help of numerical simulations. (shrink)

Bayesian epistemology addresses epistemological problems with the help of the mathematical theory of probability. It turns out that the probability calculus is especially suited to represent degrees of belief (credences) and to deal with questions of belief change, confirmation, evidence, justification, and coherence. Compared to the informal discussions in traditional epistemology, Bayesian epis- temology allows for a more precise and fine-grained analysis which takes the gradual aspects of these central epistemological notions into account. Bayesian epistemology therefore complements traditional epistemology; it (...) does not re- place it or aim at replacing it. (shrink)

The assumption among Europeans that the Khoikhoi indigenous people of southern Africa had little to no religious beliefs is evident throughout historical documents. However, if the Khoikhoi were regarded as having any religious beliefs, it was assumed that the moon or sun were objects of worship in the society. Contrary to this incorrect interpretation, this article uncovers the interrelatedness between these two celestial objects and the Supreme Being of the Khoikhoi, Tsũi-||goab, through systematic inquiry. This systematic inquiry seeks to: (1) (...) investigate the interrelatedness between the Supreme Being and the celestial objects, (2) clarify the origins of the assumptions made and (3) explain coherently why and how these assumptions were perpetuated.Contribution: The authors argue that premature conclusions made by outsiders led to there being no need for investigating the religious beliefs of the Khoikhoi society because it was assumed there were none or that they were superficially bound and/or limited to celestial bodies. (shrink)

Reprint. Originally published: Leipzig: W. Friedrich, 1894.

The Problem of Old Evidence has troubled Bayesians ever since Clark Glymour first presented it in 1980. Several solutions have been proposed, but all of them have drawbacks and none of them is considered to be the definite solution. In this article, I propose a new solution which combines several old ideas with a new one. It circumvents the crucial omniscience problem in an elegant way and leads to a considerable confirmation of the hypothesis in question.

Computer simulation is shown to be philosophically interesting because it introduces a qualitatively new methodology for theory construction in science different from the conventional two components of "theory" and "experiment and/or observation". This component is "experimentation with theoretical models." Two examples from the physical sciences are presented for the purpose of demonstration but it is claimed that the biological and social sciences permit similar theoretical model experiments. Furthermore, computer simulation permits theoretical models for the evolution of physical systems which use (...) cellular automata rather than differential equations as their syntax. The great advantages of the former are indicated. (shrink)

This book successfully achieves to serve two different purposes. On the one hand, it is a readable physics-based introduction into the philosophy of science, written in an informal and accessible style. The author, himself a professor of physics at the University of Notre Dame and active in the philosophy of science for almost twenty years, carefully develops his metatheoretical arguments on a solid basis provided by an extensive survey along the lines of the historical development of physics. On the other (...) hand, this book supplies one long argument for Cushing´s own attitude in the philosophy of science. While former studies of the author, from which this book draws in part, focused each on one special episode in the history of science, this book gathers case material from many different parts of physics and epochs. The main goal of this book is ”to impress upon the reader the essential and ineliminable role that philosophical considerations have played in the actual practice of science” (p. xv). (shrink)

We present a scenario describing how time emerges in the framework of weak quantum theory. In a process similar to the emergence of time in quantum cosmology, time arises after an epistemic split of an undivided unus mundus as a quality of the individual conscious mind. Synchronization with matter and other mental systems is achieved by entanglement correlations. In the course of its operationalization, time loses its original quality and the time of physics as measured by clocks appears. avoided/explicated.