Stacie Friend’s theory of fiction departs from those approaches that seek to identify the necessary and sufficient conditions for a work to count as fiction. She argues that this goal cannot really be achieved; instead, she appeals to the notion of genre to distinguish between fiction and nonfiction. This notion is significantly more flexible, since it invites us to identify standard—but not necessary—and counter-standard features of works of fiction in light of our classificatory practices. More specifically, Friend argues that the genre of fiction has the genre of nonfiction—and only that genre—as its contrast class. I will refer to the particular way in which Friend elaborates this claim as the contrast view. I have, nevertheless, the impression that this view unnecessarily narrows down the array of perspectives and attitudes from which we can approach works of fiction. I will thus develop a line of reasoning to the effect that the contrast view should rather be construed as picking out a particular way of relating to works of fiction that lies at the end of a continuum defined by different degrees of reflectivity and estrangement. This implies that the contrast view is false as a general claim about how we experience works of fiction, even though this view may appropriately depict a specific way of approaching such works.
This paper discusses an experiment in cognitive psychology called the Linda problem. Firstly, some natural conditions for the correctness of the interpretation of psychological experiments (such as the Linda problem) are formulated. The article is essentially a critique of the interpretation of the results of the Linda problem experiment provided by Kahneman and Tversky as well as – indirectly – their concept of heuristics. It is shown that the interpretation provided by Kahneman and Tversky does not meet the aforementioned conditions for correctness. The main argument is justified utilizing such rules of rationality as conditional probability and Grice’s conversational maxims. It is also pointed out that this argument can be reformulated in terms of the intuitive system of reasoning., Tento příspěvek pojednává o experimentu v kognitivní psychologii nazývaném problém Lindy. Za prvé jsou formulovány některé přírodní podmínky pro správnost interpretace psychologických experimentů (jako je problém Lindy). Článek je v podstatě kritikou interpretace výsledků problému Linda, který poskytli Kahneman a Tversky, stejně jako - nepřímo - jejich pojetí heuristiky. Ukazuje se, že výklad poskytnutý Kahnemanem a Tversky nesplňuje výše uvedené podmínky správnosti. Hlavní argument je odůvodněn použitím takových pravidel racionality jako podmíněné pravděpodobnosti a Griceho konverzačních maxim. Rovněž je zdůrazněno, že tento argument lze přeformulovat z hlediska intuitivního systému uvažování., and Adam Olszewski
Thought experiments are frequently vague and obscure hypothetical scenarios that are difficult to assess. The paper proposes a simple model of thought experiments. In the first part, I introduce two contemporary frameworks for thought experiment analysis: an experimentalist approach that relies on similarities between real and thought experiment, and a reasonist approach focusing on the answers provided by thought experimenting. Further, I articulate a minimalist approach in which thought experiment is considered strictly as doxastic mechanism based on imagination. I introduce the basic analytical tool that allows us to differentiate an experimental core from an attached argumentation. The last section is reserved for discussion. I address several possible questions concerning adequacy of minimalistic definition and analysis., Myšlenkové experimenty jsou často vágní a temné hypotetické scénáře, které je těžké posoudit. Příspěvek navrhuje jednoduchý model myšlenkových experimentů. V první části představuji dva současné rámce pro analýzu myšlenkového experimentu: experimentistický přístup, který se opírá o podobnosti mezi skutečným a myšlenkovým experimentem a přístupem k rozumu, který se zaměřuje na odpovědi poskytované experimentováním s myšlenkami. Dále artikuluje minimalistický přístup, ve kterém je experiment experimentu považován za přísně doxastický mechanismus založený na představivosti. Představuji základní analytický nástroj, který nám umožňuje odlišit experimentální jádro od připojené argumentace. Poslední sekce je vyhrazena k diskusi. Zabývám se několika možnými otázkami týkajícími se přiměřenosti minimalistické definice a analýzy., and Marek Picha
The paper describes a mathematical and physical modelling of flow of complex slurries in pipelines, i.e. a flow of slurries composed of solids covering a very broad range of particle sizes that overlaps more than one flow patterns – non-Newtonian, pseudohomogeneous, heterogeneous and fully-stratified. A typical examples are residual products (“tailings”) from mining industry with normal average particle sizes of 20 to 100 μm or more. Experimental results of flows of complex slurries composing of non-Newtonian carrier fluid and three fractions of glass particles in 50 mm pipe are presented. Depending on the particle size, particles show different flow patterns and therefore considerable differences in pressure drops. Fine particles tend behave as a homogeneous matter, while coarser particles exhibit heterogeneous behaviour and even coarser particles form a sliding bed. A mathematical 3-component predictive model for turbulent flow of complex slurries is presented based on well-established semi-empirical formulae developed originally for flows with Newtonian carrier. The predicted values of pressure drops show very reasonable agreement with experimental results and indicate suitability of the model for engineering practice.
Existence of piedmont zone in a river bed is a critical parameter from among numerous variations of topographical, geological and geographical conditions that can significantly influence the river flow scenario. Downstream flow situation assessed by routing of upstream hydrograph may yield higher flow depth if existence of such high infiltration zone is ignored and therefore it is a matter of concern for water resources planning and flood management. This work proposes a novel modified hydrodynamic model that has the potential to accurately determine the flow scenario in presence of piedmont zone. The model has been developed using unsteady free surface flow equations, coupled with Green-Ampt infiltration equation as governing equation. For solution of the governing equations Beam and Warming implicit finite difference scheme has been used. The proposed model was first validated from the field data of Trout Creek River showing excellent agreement. The validated model was then applied to a hypothetical river reach commensurate with the size of major tributaries of Brahmaputra Basin of India. Results indicated a 10% and 14% difference in the maximum value of discharge and depth hydrograph in presence and absence of piedmont zone respectively. Overall this model was successfully used to accurately predict the effect of piedmont zone on the unsteady flow in a river.
Calibration of parameters of mathematical models is still a tough task in several engineering problems. Many of the models adopted for the numerical simulations of real phenomena, in fact, are of empirical derivation. Therefore, they include parameters which have to be calibrated in order to correctly reproduce the physical evidence. Thus, the success of a numerical model application depends on the quality of the performed calibration, which can be of great complexity, especially if the number of parameters is higher than one. Calibration is traditionally performed by engineers and researchers through manual trial-and-error procedures. However, since models themselves are increasingly sophisticated, it seems more proper to look at more advanced calibration procedures. In this work, in particular, an optimization technique for a multi-parameter calibration is applied to a two-phase depth-averaged model, already adopted in previous works to simulate morphodynamic processes, such as, for example, the dike erosion by overtopping.
The two-dimensional particle image velocimetry (PIV) data are inevitably contaminated by noise due to various imperfections in instrumentation or algorithm, based on which the well-established vortex identification methods often yield noise or incomplete vortex structure with a jagged boundary. To make up this deficiency, a novel method was proposed in this paper and the efficiency of the new method was demonstrated by its applications in extracting the twodimensional spanwise vortex structures from 2D PIV data in open-channel flows. The new method takes up a single vortex structure by combining model matching and vorticity filtering, and successfully locates the vortex core and draws a streamlined vortex boundary. The new method shows promise as being more effective than commonly used schemes in open-channel flow applications.
A distinction is introduced between itemized and non-itemized plural predication. It is argued that a full-fledged system of plural logic is not necessary in order to account for the validity of inferences concerning itemized collective predication. Instead, it is shown how this type of inferences can be adequately dealt with in a first-order logic system, after small modifications on the standard treatment. The proposed system, unlike plural logic, has the advantage of preserving completeness. And as a result, inferences such as ''Dick and Tony emptied the bottle, hence Tony and Dick emptied the bottle'' are shown to be first-order., Rozlišování se zavádí mezi rozčleněným množstvím a nerozdělením množných predikcí. Tvrdí se, že plnohodnotný systém pluralitní logiky není nutný pro to, aby bylo možné zohlednit platnost závěrů týkajících se skupinového predikce. Místo toho je ukázáno, jak lze tento typ závěrů adekvátně řešit v logickém systému prvního řádu, po malých úpravách standardního zpracování. Navrhovaný systém, na rozdíl od množné logiky, má výhodu zachování úplnosti. Výsledkem je, že závěry jako ,,Dick a Tony vyprázdnili láhev, proto Tony a Dick vyprázdnili láhev''., and Gustavo Fernandéz Díez
One of the most important problems faced in hydrology is the estimation of flood magnitudes and frequencies in ungauged basins. Hydrological regionalisation is used to transfer information from gauged watersheds to ungauged watersheds. However, to obtain reliable results, the watersheds involved must have a similar hydrological behaviour. In this study, two different clustering approaches are used and compared to identify the hydrologically homogeneous regions. Fuzzy C-Means algorithm (FCM), which is widely used for regionalisation studies, needs the calculation of cluster validity indices in order to determine the optimal number of clusters. Fuzzy Minimals algorithm (FM), which presents an advantage compared with others fuzzy clustering algorithms, does not need to know a priori the number of clusters, so cluster validity indices are not used. Regional homogeneity test based on L-moments approach is used to check homogeneity of regions identified by both cluster analysis approaches. The validation of the FM algorithm in deriving homogeneous regions for flood frequency analysis is illustrated through its application to data from the watersheds in Alto Genil (South Spain). According to the results, FM algorithm is recommended for identifying the hydrologically homogeneous regions for regional frequency analysis.
There are nine antirealist explanations of the success of science in the literature. I raise difficulties against all of them except the latest one, and then construct a pessimistic induction that the latest one will turn out to be problematic because its eight forerunners turned out to be problematic. This pessimistic induction is on a par with the traditional pessimistic induction that successful present scientific theories will be revealed to be false because successful past scientific theories were revealed to be false., V literatuře existuje devět antirealistických vysvětlení úspěchu vědy. Vyvolávám obtíže proti všem, s výjimkou posledního, a pak buduji pesimistickou indukci, že poslední z nich bude problematická, protože osm předchůdců se ukázalo jako problematické. Tato pesimistická indukce je na stejné úrovni s tradiční pesimistickou indukcí, že úspěšné současné vědecké teorie budou odhaleny jako nepravdivé, protože úspěšné minulé vědecké teorie byly odhaleny jako nepravdivé., and Seungbae Park