Philosophy of Probability

This article mainly investigates whether common Bayesian confirmation measures are affected by stopping rules. The results indicate that difference measure d, log-ratio measure r, and log-likelihood measure l are not affected by non-informative stopping rules, but affected by informative stopping rules. In contrast, Carnap measure $$\tau $$, normalized difference measure n, and Mortimer measure m are affected by (non-)informative stopping rules sometimes but sometimes aren’t. Besides, we use two examples to further illustrate that confirmation measures d, r, and l are (...) better than $$\tau,n$$, and m. (shrink)

Сборникът съдържа статии и студии във връзка със семинара „Хаос и безредие (философия, литература, наука)" в Софийския университет „Св. Климент Охридски“ през академичната 2014-15 г. Темите, на които са посветени отделните разработки, са: случайността; материалността на художествената творба; техниката в езика и философията; отношението между контекст и дистекст; миметичността и саморефлексията в литературата; философското осмисляне на дистанцията и нейната промяна (близост и далечина); както и двойничеството, изродното (das Unheimliche) и технологичното като фигури на нечовешкото. Повечето понятия, които се свързаха в (...) обсъжданията и дискусиите ни, са функционирали всъщност като аномалии - така се отварят общи полета на несъгласия, които разширяват сетивността или теоретическата чувствителност. (shrink)

À partir de la question de savoir comment la science peut expliquer, ce texte pose la question à l’égard des formes d’enquêtes qui semblent inaptes à prédire. La question du modèle d’explication qui admettrait des données statistiques est ensuite confrontée aux idéaux rigoureusement prédictivistes et peut-être subrepticement déterministes. En discutant du modèle confirmationniste, on tente ici de tirer les conséquences de l’absence de procédure qui puisse venir disconfirmer en contexte probabiliste. C’est l’occasion de s’interroger sur le mode de résolution des (...) problèmes et défis dont fait montre la nature dans le but de reposer la question de la place de la téléologie eu égard à l’espace laissé oruvert par l’absence de procédures de validation. On est ainsi conduit à réinterroger la présence de schèmes d’économie d’énergie et d’optimalité qui rendent raison d’une anatomie transcendante, et puis finalement conduisent à s’interroger sur la place que tient la forme dans la vision que nous prenons de la nature. (shrink)

An often-cited convention for discovery-oriented behavioral science research states that the general relative seriousness of the antecedently accepted false positive error rate of α = 0.05 be mirrored by a false negative error rate of β = 0.20. In 1965, Jacob Cohen proposed this convention to decrease a β-error rate typically in vast excess of 0.20. Thereby, we argue, Cohen (unintentionally) contributed to the wide acceptance of strongly uneven error rates in behavioral science. Although Cohen’s convention can appear epistemically reasonable (...) for an individual researcher, the comparatively low probability that published effect size estimates are replicable renders his convention unreasonable for an entire scientific field. Appreciating Cohen’s convention helps to understand why even error rates (α = β) are “non-conventional” in behavioral science today, and why Cohen’s explanatory reason for β = 0.20—that resource restrictions keep from collecting larger samples—can easily be mistaken for the justificatory reason it is not. (shrink)

The emergence of new techniques in both microbial biotechnology and artificial intelligence (AI) is opening up a completely new field for monitoring and sometimes even controlling the evolution of pathogens. However, the now famous generative AI extracts and reorganizes prior knowledge from large datasets, making it poorly suited to making predictions in an unreliable future. In contrast, an unfamiliar perspective can help us identify key issues related to the emergence of new technologies, such as those arising from synthetic biology, whilst (...) revisiting old views of AI or including generative AI as a generator of abduction as a resource. This could enable us to identify dangerous situations that are bound to emerge in the not-too-distant future, and prepare ourselves to anticipate when and where they will occur. Here, we emphasize the fact that amongst the many causes of pathogen outbreaks, often driven by the explosion of the human population, laboratory accidents are a major cause of epidemics. This review, limited to animal pathogens, concludes with a discussion of potential epidemic origins based on unusual organisms or associations of organisms that have rarely been highlighted or studied. (shrink)

This paper is about the epistemology of quantum theory. We establish a new result about a limitation to knowledge of its central object---the quantum state of the universe. We show that, if the universal quantum state can be assumed to be a typical unit vector from a high-dimensional subspace of Hilbert space (such as the subspace defined by a low-entropy macro-state as prescribed by the Past Hypothesis), then no observation can determine (or even just narrow down significantly) which vector it (...) is. Typical state vectors, in other words, are observationally indistinguishable from each other. Our argument is based on a typicality theorem from quantum statistical mechanics. We also discuss how theoretical considerations that go beyond the empirical evidence might bear on this fact and on our knowledge of the universal quantum state. (shrink)

● Mucho más relevante que la complejidad o simplicidad de un método de medir las casas es si dicha división se mantiene fiel a la física del cielo (i.e. si tiene sentido alguno). ● Dado que la astrología no goza de una institución central que decida qué es válido y qué no, consideramos que lo mínimo que pueden hacer los astrólogos es respetar las verdades confirmadas por la ciencia. La física enseña que no podemos separar el tiempo del espacio o (...) el espacio del tiempo, pues sostienen una relación ininterrumpida o indisoluble que llamamos continuo , un plano constituido de cuatro dimensiones (i.e. las tres del espacio aunadas a la única del tiempo) denominado espaciotiempo, y que el tiempo no es absoluto sino relativo (dependiente de los marcos de referencia). ● La astrología (que no es horoscopismo sino una de las consecuencias de la física) apela a diferentes métodos de medir las regiones astrográficas (i.e. casas) y los ha clasificado entre métodos espaciales y métodos temporales (según cuál de los dos conceptos decide la subdivisión del arco diurno) , pero esta clasificación resulta impertinente ante la realidad que nos gobierna. Uno que puede ser confirmado compatible con nuestra realidad debe ser empleado en todo momento para todo tipo de astrografía, es decir, uno verdadera o esencialmente basado en el espaciotiempo sin presentar, a la misma vez, ninguno de los errores característicos de otros sistemas de casas . Veremos que solo uno de ellos es compatible con la relatividad, pues mientras los demás nos harían hacer creer que el tiempo es absoluto, el método Placidus de medición de las casas nos enseña que es relativo. ● La diferencia estriba en la capacidad de un método para reconocer los tiempos ascensionales de no solo los doce segmentos de nuestra eclíptica en distintas latitudes, sino también de cada grado de dicha circunferencia simultánea e ininterrumpidamente, es decir, temporalmente simultánea y espacialmente ininterrumpida durante sus trayectorias desde el horizonte (ASC) hasta el medio cielo (MC). Hemos concluido, con base en el análisis de las cúspides de casas, que solamente la fórmula placidiana puede cumplir la promesa antes referida, es decir, hacer posible medir las duraciones del tiempo bajo tales condiciones. ● Mientras las mediciones del tiempo Alcabitius y Koch asignan velocidades (i.e. tiempos de ascensión oblicua) ficticias a todos los grados contenidos entre el horizonte (ASC) y el medio cielo (MC), Placidus se ocupa de medir las velocidades o los tiempos verdaderos de todos. La medida más newtoniana de todos los métodos de división de casas, Regiomontanus, a su turno, se aferra al espacio a expensas del tiempo, razón por la cual no puede reflejar las verdaderas posiciones de los planetas en el espaciotiempo (ignora la relación del espacio con el tiempo). ● Durante el proceso demostrativo, aprovechamos la ocasión para señalar que la velocidad (relatividad especial) y la gravedad (relatividad general) no constituyen las únicas (dos) expresiones principales de la dilatación del tiempo. La inclinación o basculación de los marcos de referencia (i.e. la inclinación del eje de la Tierra con relación al plano de la eclíptica, si bien la velocidad sigue siendo una variable, mientras la gravedad, a su vez, una posibilidad que exploraremos en los apéndices) constituye una tercera expresión. ● Animamos a todo físico y/o astrónomo a corroborar nuestras observaciones con sus propias herramientas. Por nuestra parte, hemos empleado el software astrológico/astronómico Solar Fire Gold, si bien las astrografías o mapas provienen del software astrológico/astronómico Janus. (shrink)

Биолого-медико-философское исследование на тему возможности бессмертия в живой природе (Избранные главы из книги Гуртовцева А.Л. “Можно ли жить вечно, быть всегда молодым и здоровым?”) Содержание: Мечты и реальность – Продолжительность жизни и рост народонаселения Земли – Долгожители растительного и животного миров – Запрет бессмертия как фундаментальный закон природы – Примеры. К чему бы привело бессмертие организмов -– Прощание с имморталями .

Augmented Reality (AR), driven by Artificial Intelligence (AI), is transforming how we interact with the world. Recent technologies, like AI-powered smart glasses, are increasingly blending the physical and digital realms. While AR presents exciting new possibilities, it also raises deeper philosophical questions about what we consider reality.

Whereas many philosophers accept the validity of 'probability' and confine themselves to interpreting it, this paper challenges its conceptual coherence by critically examining its use in the empirical world. While measure theory provides a rigorous mathematical framework for manipulating probability functions, we argue that applying precise probability measures to empirically uncertain outcomes introduces a fundamental contradiction. Probability measures claim to quantify uncertainty while simultaneously implying a degree of understanding about events that we do not fully possess. This inconsistency undermines the (...) idea that probability offers objective or reliable insights into reality. Moreover, we argue that it is impossible to assign a correct probability in the empirical world—neither deduction nor induction provides a justifiable basis for doing so. Therefore, despite probability appearing to work as a practical tool for managing uncertainty, its theoretical foundation collapses under scrutiny in empirical applications. (shrink)

Let’s consider the skeptical example of the brain in a vat. It has been pointed out by Crispin Wright (1994) that Putnam's argument does not affect certain cases such as my brain being removed from my skull by a mad scientist and hooked up to a computer. Since Putnam's argument falls flat at least in cases where the brain is first removed from a human body and then hooked up to a computer, I consider the skeptical aspects of the brain-in-a-vat (...) thought experiment below. Let’s consider the following hypotheses: C “I’m a brain in a vat” EC “I’m not a brain in a vat”. It is argued by skeptics that it cannot be proven that we are not brains in a vat. If we assume the skeptical thesis according to which it is impossible to prove that we are not brains in a vat, i.e. there is the impossibility of falsifying C, then the truthfulness of EC implies that both C and EC can not be falsified. On the other hand, the truthfulness of C does not imply the unfalsifiability of EC: for example, the mad scientist mentioned above could decide (perhaps for a sadistic pleasure) to inform us and prove to us that we are brains in a vat; in the latter case the EC hypothesis would be falsified. The truthfulness of EC implies the unfalsifiability of both EC and C. By contrast, the truthfulness of C does not imply the unfalsifiability of EC. The current evidence is that both C and EC are not falsified: the hypothesis EC necessarily implies that both EC and C result not falsified; the hypothesis C does not necessarily imply that both C and EC result not falsified And so, it is more rational to bet on EC rather than on C. (shrink)

Peter Godfrey-Smith writes in the section 3.3 “The Ravens Problem” of his book “Theory and Reality” [chapter “Induction and Confirmation”]: “First, the logical empiricists were concerned to deal with the case where generalizations cover an infinite number of instances. In that case, as we see each raven we are not reducing the number of ways in which the hypothesis might fail”. Infinite sets and finite sets have different properties and follow different rules. For example: let’s call “bag X” a specific (...) bag that contains 90 marbles; the generalization A “All marbles in bag X are red” covers a finite number of instances. By contrast, the generalization AE “All things that are not red are not marbles in bag X” covers an infinite number of instances. The propositions A and AE are logically equivalent, but there is an asymmetry due to the fact that A can only have a finite number of instances (since the set of the marbles contained in bag X is a finite set). Because of the aforementioned asymmetry, even though A and AE are logically equivalent propositions, it is wrong to equate an instance of A with an instance of AE. Another example involving a finite set: let’s call “barrique X” a certain 205-liter (54.1553 US gal) barrique. In the following generalization, the expression "all minerals" should not be understood as "all types of minerals", but should be understood literally as "all minerals". B “All minerals are in barrique X”. BE “All objects that are not in barrique X are not minerals”. Of course, a 205-litre barrique cannot contain an infinite number of minerals; the set of objects contained in barrique X is a finite set: therefore in the generalization B we refer to a set that is assumed to be an infinite set (the set of minerals) and to a set (the finite set of minerals contained in barrique X) that is not assumed to be an infinite set. By contrast, in the generalization BE we refer to two sets that are assumed to be infinite sets (the set of all objects that are not contained in barrique X and the set of all objects that are not minerals). Therefore, although B and BE are logically equivalent propositions, an instance of BE cannot be equivalent to an instance of B. Now, let’s analyze the following generalizations. C “All the elements of the set of ravens are elements of the set of black ravens”. CE “All the things that are not elements of the set of black ravens are not elements of the set of ravens”. It is assumed that the number of ravens is infinite, but it is not assumed that the number of black ravens is infinite: that the number of black ravens is infinite is only a hypothesis (for which confirmation is sought), it cannot be assumed as true that the number of black ravens is infinite. Therefore, in the generalization C we refer to a set that is assumed to be an infinite set (the set of ravens) and to a set (the set of black ravens) that is not assumed to be an infinite set. By contrast, in the generalization CE we refer to two sets that are assumed to be infinite sets (the set of all objects that are not elements of the set of black ravens and the set of all objects that are not elements of the set of ravens). Someone could argue that in the generalizations C “All the elements of the set of ravens are elements of the set of black ravens” and CE “All the things that are not elements of the set of black ravens are not elements of the set of ravens” only the set of ravens is assumed to be infinite: but even in this case an asymmetry would remain because C “ All the elements of the set of ravens are elements of the set of black ravens” refers to a set (the set of ravens) that is assumed to be an infinite set and to a set (the set of black ravens) that is not assumed to be infinite; by contrast, CE “All the things that are not elements of the set of black ravens are not elements of the set of ravens” in this case would refer to two sets that are not assumed to be infinite sets. Because of the aforementioned asymmetries, an instance of C cannot be equivalent to an instance of CE. -/- -/- . (shrink)

Discusses synchronicity as illustrated in ancient and modern mythologies.

Statistical techniques and theories have become widely applied in the physical, biological and social sciences. This book deals not so much with statistical methods as with the central concept of chance, or statistical probability, which statistical theories apply to nature.

(This is one of the essays to be included in a book examining the causes of day-to-day strife in the populations of modern democracies vying to live and assert the freedoms promised to them by systems of governance supposed and expected to represent them.) "The artisan of old, the artist, the researcher, the developer, and the scientist today have this in common, that in refining, perfecting and pushing the boundaries of their respective crafts, they cannot achieve satisfaction or adequately perform (...) without simultaneously and progressively adapting, re-configuring, developing, and continuously changing the techniques and approaches they employ together with the tools and parameters for gauging actual success within the realm that only rigorous acquaintance, imaginative freedom, cross-functional, multifaceted learning, and distributive interaction may allow.". (shrink)

The “consequence argument”, together with the “luck objection”, which are summed up by the “standard argument against free will”, state that if our volition were dependent on physical causally indeterministic processes, our actions would lack control and, thereby, result in random behavior that would be a mere matter of luck and chance. In particular, quantum indeterminacy is supposed to be of no use in support of libertarian agent-causation theories because any volitional act interfering with the probability distributions de fining quantum (...) laws would lead to its violation. Building upon recent conjectural work questioning this assumption (Clarke 2010, Kastner 2016, Masi 2023), it is shown, with a concrete example involving quantum indeterminacy, how a hypothetical agent with access to the temporal ordering of events can pre-determine the result of a process taking place in time without modifying the probability laws defining it. This conclusion is then taken as a basis for a libertarian panpsychist interpretative model. (shrink)

Randomness, a core concept of gambling, is seen in problem gambling as responsible for the formation of the math-related cognitive distortions, especially the Gambler’s Fallacy. In problem-gambling research, the concept of randomness was traditionally referred to as having a mathematical nature and categorized and approached as such. Randomness is not a mathematical concept, and I argue that its weak mathematical dimension is not decisive at all for the randomness-related issues in gambling and problem gambling, including the correction of the misconceptions (...) and fallacies about probability and statistical concepts applied in gambling. I distinguish between mathematical and nonmathematical dimensions of randomness (the epistemic, the theoretical-methodological, the functional, and the ethical) falling within the general concept, and I argue that both the studies having as object the math-related cognitive distortions among gamblers and the educational programs aiming at correcting them should employ this distinction in their design and content. (shrink)

In a recent article on the interpretation of probability in evidence-based medical practice, Jonathan Fuller argues that we should interpret probabilities as credences in individual cases because this avoids some important problems. In this article, I argue that Fuller misidentifies the real issue and so fails to offer a meaningful solution to it. The real problem with making probability judgments in individual cases is deciding which objective considerations ought to constrain our formation of credences. This leads us to the reference (...) class problem, which, as Alan Hajek argues, is a problem for any interpretation of probability. (shrink)

ABSTRACT: It will be argued that Eric Winsberg has created a problem where nobody is in the position to rationally support the Anthropogenic Climate Change hypothesis, since he demands the normal lay public defer to experts but, from Winsberg’s philosophical commitments, experts are precluded from having the ability to rationally conclude that a hypothesis is superior to an alternative. Winsberg’s difficulties can be resolved with a little help from Bayesian Confirmation Theory. A Bayesian analysis will be provided which allows for (...) the evaluation of climate models that uses Winsberg’s analysis of robustness. (shrink)

This paper introduces and discusses three models of future: a determinist model, a stochastic model, and the model of True Prophetic Knowledge. All three models coexist in natural languages and are represented both in their grammatical systems and in the text-building discourse strategies speakers and authors apply to.

Ang Diyos ay hindi naglalaro ng dado", inulit ni Einstein mula sa taas ng kanyang determinismo, ngunit sa katunayan ang kosmos ay naghahagis ng mga buto nito nang sadyang mapagpasya: ang mga dado nito ay laruin. Hindi sa pag-iisip na tayo ay lumikha ng mga mundo. Sa pamamagitan ng pag-unawa sa mundo natututo tayong mag-isip. Ang Cosmovision ay isang termino na dapat ay nangangahulugang isang hanay ng mga pundasyon kung saan lumalabas ang isang sistematikong pag-unawa sa Uniberso, ang mga bahagi (...) nito bilang buhay, ang mundong ating ginagalawan, kalikasan, mga phenomena ng tao, at ang kanilang mga relasyon. Ito ay, samakatuwid, isang larangan ng analytical na pilosopiya na pinapakain ng mga agham, na ang layunin ay ang pinagsama-samang at epistemologically sustainable na kaalaman tungkol sa lahat ng kung ano tayo at nilalaman, na nakapaligid sa atin, at nauugnay sa atin sa anumang paraan. Ito ay isang bagay na kasingtanda ng pag-iisip ng tao, at, bilang karagdagan sa paggamit ng mga elemento ng siyentipikong kosmolohiya, sinasaklaw nito ang lahat ng bagay sa pilosopiya at agham na tumutukoy sa uniberso at buhay. Ang cosmovision ay hindi isang set ng mga ideya, hypotheses, at assumptions kundi isang sistemang batay sa obserbasyon, pagsusuri, ebidensya, at pagpapakita. Walang cosmovision na naglalayong tukuyin, itatag, o imungkahi ngunit para lamang maunawaan, suriin, at bigyang-kahulugan. Bawat isa sa atin ay nagtatayo at naghahatid ng kanyang kosmobisyon sa buong buhay, nang hindi nagtatatag ng mga anyo, bilang isang background para sa ating pag-iisip at pag-uugali. Sa lingguwistika, ang terminong "cosmovision" ay magmumula sa Aleman, katumbas ng konsepto ng "Weltanschauung," na ginamit ng ilang mga pilosopo. Gayunpaman, ang relasyong pangwika na ito ay hindi naaangkop dahil sumasalungat ito sa aming iminumungkahi bilang isang cosmovision. Ang salitang Aleman na ito ay tumutukoy sa isang pre-logical o proto- experimental na pananaw ng realidad, na may intuitive na konteksto at malayo sa kritikal na kaalaman na wala pa rin sa oras ng pagbabalangkas nito. Walang alinlangan, ang mga cosmovision, sa diwa kung saan natin nauunawaan ang mga ito, ay nagtataglay at gumagamit ng mga proto-experimental o pre-logical na elementong ito na kinabibilangan ng kasaysayan, ang sama-samang walang malay, at lahat ng mga archetype na dala natin. Gayunpaman, sa konseptong inilalapat natin dito, ang cosmovision ay higit na lumalampas sa nilalamang ito, una sa pamamagitan ng patuloy na pagsusumite nito upang ipakita ang kritikal na pag-iisip, at sa wakas sa pamamagitan ng paggawa ng analitikong karanasan (at hindi ang kaisipan mismo o intuwisyon) ang aktwal nitong uniberso. Inilantad ni António Lopes ang lawak ng nilalamang ito: "Ang mga cosmovision ay hindi produkto ng pag-iisip. Hindi sila nagmumula sa simpleng pagnanais na malaman. Ang pagkaunawa sa katotohanan ay isang mahalagang sandali sa pagsasaayos nito, ngunit, gayunpaman, ito ay isa lamang. Ito ay nagmumula sa mahahalagang pag-uugali, mula sa karanasan ng pagsusuri sa buhay, at mula sa istruktura ng ating saykiko na kabuuan Ang pagtaas ng buhay sa kamalayan sa kaalaman sa realidad, sa pagpapahalaga, at sa kusang katotohanan ay ang mabagal at mahirap na gawain. na ginawa ng sangkatauhan sa pagbuo ng mga konsepto ng buhay (W. Dilthey, 1992 [1911]: 120). Sa gawaing ito, hinahangad nating balangkasin ang isang kosmobisyon batay sa mga realidad na inaalok natin ngayon hindi nagmumungkahi, sa anumang oras, na gumawa ng agham; o magteorya ng pilosopiya, ngunit lagi nating hahanapin na suportahan sila o, hindi bababa sa, protektahan nila mula sa mga pang-unawang distorsyon na karaniwan nating dala. (shrink)

Mới đây, chương trình máy tính ‘bayesvl’ chạy trên môi trường R do TS. Vương Quân Hoàng và kĩ sư Lã Việt Phương (Trung tâm Nghiên cứu Xã hội Liên ngành ISR, Đại học Phenikaa) thiết kế và phát triển chính thức được ra mắt trên CRAN - hệ thống thư viện chuẩn của R...

Integrating medical imaging with computing technologies, such as Artificial Intelligence (AI) and its subsets: Machine learning (ML) and Deep Learning (DL) has advanced into an essential facet of present-day medicine, signaling a pivotal role in diagnostic decision-making and treatment plans (Huang et al., 2023). The significance of medical imaging is escalated by its sustained growth within the realm of modern healthcare (Varoquaux and Cheplygina, 2022). Nevertheless, the ever-increasing volume of medical images compared to the availability of imaging experts. Biomedical experts (...) and radiologists have resulted in a widening disparity, causing an excess and overwhelming workload on these healthcare professionals (Chen et al., 2021). Several studies indicate that the present-day biomedical radiologist is now saddled with the daunting task of interpreting an image almost every 10 seconds to keep pace with the burgeoning clinical demands (McDonald et al., 2015; Hosny et al., 2018; Lantsman et al., 2022). This cognitive drain has invariably led to inevitable consequences such as delays in diagnosis and an amplified risk of diagnostic errors – thus, the biomedical imaging aspect is in dire need of methods that would aid accurate diagnostics and analytics for improved decision making. In this review, the importance of AI-related technologies such as ML and/or DL methods are reviewed in relation to the processing of medical or biomedical images along with their potentials, challenges, and possible suggestions for future studies in the health landscape. The focus will be on machine learning methods associated with the medical field of image classification. (shrink)

This work demonstrates the implementation and use of an encoder-decoder model to perform a many-to-many mapping of video data to text captions. The many-to-many mapping occurs via an input temporal sequence of video frames to an output sequence of words to form a caption sentence. Data preprocessing, model construction, and model training are discussed. Caption correctness is evaluated using 2-gram BLEU scores across the different splits of the dataset. Specific examples of output captions were shown to demonstrate model generality over (...) the video temporal dimension. Predicted captions were shown to generalize over video action, even in instances where the video scene changed dramatically. Model architecture changes are discussed to improve sentence grammar and correctness. (shrink)

Text classification is one of the most important task in natural language processing, In this research, we carried out several experimental research on three (3) of the most popular Text classification NLP classifier in Convolutional Neural Network (CNN), Multinomial Naive Bayes (MNB), and Support Vector Machine (SVN). In the presence of enough training data, Deep Learning CNN work best in all parameters for evaluation with 77% accuracy, followed by SVM with accuracy of 76%, and multinomial Bayes with least performance of (...) 69% accuracy. CNN has the best performance in the presence of large enough training dataset because of the presence of filter/ kernels which help to indentify patterns in text data regardless of their position in the sentence. We repeated the training again with just one-third of our data, at this point SVM comes with the best performance, the performance of CNN noticeably drops but still better than Multinomial Naive Bayes, the reason why SVM works best when we reduce the training data was because of its ability to look for a hyper-plane that creates a boundary between different classes of data so as to properly classify them, so we believed that getting the hyper-plane was more efficient when we reduce the dataset, hence reason for the good performance. Multinomial Naive Bayes have the least performance which we attributed to its assumption of independency between the features which sometimes does not hold true. We concluded that availability of data should be an important factor when choosing classifier for Natural Language Processing Text Classification task. CNN should be use in the presence of enough dataset, and SVM should be use when data is not enough. Multinomial Naive Bayes must not be trusted with state of the art NLP task due to its assumption of independency between the features . (shrink)

This work demonstrates the implementation and use of an encoder-decoder model to perform a many-to-many mapping of video data to text captions. The many-to-many mapping occurs via an input temporal sequence of video frames to an output sequence of words to form a caption sentence. Data preprocessing, model construction, and model training are discussed. Caption correctness is evaluated using 2-gram BLEU scores across the different splits of the dataset. Specific examples of output captions were shown to demonstrate model generality over (...) the video temporal dimension. Predicted captions were shown to generalize over video action, even in instances where the video scene changed dramatically. Model architecture changes are discussed to improve sentence grammar and correctness. (shrink)

This paper investigates the historical origin and ancestors of typicality, which is now a central concept in Boltzmannian Statistical Mechanics and Bohmian Mechanics. Although Ludwig Boltzmann did not use the word typicality, its main idea, namely, that something happens almost always or is valid for almost all cases, plays a crucial role for his explanation of how thermodynamic systems approach equilibrium. At the beginning of the 20th century, the focus on almost always or almost everywhere was fruitful for developing measure (...) theory and probability theory. It was apparently Hugh Everett III who first mentioned typicality in physics in 1957 while searching for a justification of the Born rule in his interpretation of quantum mechanics. The historically closest concept before these developments is moral certainty, which was invented by the medieval French theologian Jean Gerson, and it became a standard concept at least until the Age of Enlightenment, when Jakob Bernoulli proved the Law of Large numbers. (shrink)

The aim of this paper is to argue for a revised and precisified version of the infamous Verifiability Criterion for the meaningfulness of declarative sentences. The argument is based on independently plausible premises concerning probabilistic confirmation and meaning as context-change potential, it is shown to be logically valid, and its ramifications for potential applications of the criterion are being discussed. Although the paper is not historical but systematic, the criterion thus vindicated will resemble the original one(s) in some important ways. (...) At the same time, it will also be more modest insofar as meaningfulness will turn out to be relativized linguistically and probabilistically, and different choices of the linguistic and probabilistic parameters may lead to different verdicts on meaningfulness. (shrink)

Космовізі — це термін, який має означати набір основ, з яких виникає системне розуміння Всесвіту, його складових як життя, світу, в якому ми живемо, природи, людського феномену та їхніх взаємозв’язків. Таким чином, це галузь аналітичної філософії, що живиться науками, метою якої є це сукупне та епістемологічно стійке знання про все, що ми є і що містить у собі, що оточує нас і що будь-яким чином до нас відноситься. Це щось таке ж давнє, як людська думка, і, окрім використання елементів наукової (...) космології, воно охоплює все у філософії та науці, що стосується Всесвіту та життя. Космогляд — це не набір ідей, гіпотез і припущень, а система, заснована на спостереженнях, аналізі, доказах і демонстраціях. Жодне космобачення не має на меті визначати, встановлювати чи пропонувати, а лише розуміти, аналізувати та інтерпретувати. Кожен з нас будує і транспортує своє космогляд протягом життя, не встановлюючи форми, як фон для нашого мислення і поведінки . Лінгвістично термін «космовізія» походить від німецької мови, що еквівалентно поняттю « Weltanschauung», яке використовували кілька філософів. Однак цей лінгвістичний зв’язок незастосовний, оскільки він суперечить тому, що ми пропонуємо як космовізію. Це німецьке слово відноситься до дологічного або протоекспериментального бачення реальності з інтуїтивним контекстом і далеко не критичним знанням, яке ще не існувало на момент його формулювання. Безсумнівно, космовізії, у тому сенсі, як ми їх розуміємо, містять і використовують ці протоекспериментальні або до-логічні елементи, які включають історію, колективне несвідоме та всі архетипи, які ми носимо. Однак у концепції, яку ми тут застосовуємо, космовізія виходить далеко за межі цього змісту, по-перше, постійно підпорядковуючи його теперішньому критичному мисленню і, нарешті, роблячи аналітичний досвід (а не саму думку чи інтуїцію) своїм справжнім всесвітом. У цій роботі ми прагнемо окреслити космогляд, заснований на реаліях, які пропонує сьогодні наука. Ми ніколи не пропонуємо займатися наукою; або теоретизувати філософію, але ми завжди будемо прагнути отримати їхню підтримку або, принаймні, захистити їх від когнітивних викривлень, які ми зазвичай несемо. (shrink)

I summarize, in this informal interview, the main approaches to the ‘Past Hypothesis’, the postulation of a low-entropy initial state of the universe. I’ve chosen this as an open problem in the philosophical foundations of physics. I hope that this brief overview helps readers in gaining perspective and in appreciating the diverse range of approaches in this fascinating unresolved debate.