The development of a book is an enjoyable task. Whatever the contents of this book might be, I assure you that I would try my best to put things in such a simple language in an easy-to-understand manner. Moreover, I also promise to be as blunt and frank as I could be. -/- I have been thinking of writing this book for quite some time; however, I have decided if I am going to write one book, then I might as (...) well write more books since I am going over the basics of some of my thoughts and theories in this very first book.6 However, my thoughts and theories are the least important since everybody could be wrong, and my thoughts could have been the same as others. -/- Yet, as mentioned earlier, these are only the base of my thoughts, observations, and theories and do not include all the subjects I would love to share. I have written in this very first book a brief introduction to some of my thoughts. -/- Furthermore, they are nothing special since we all think we have something special to say. I might perhaps be under the same impression as everybody else. -/- Also, I have to admit that I am an average person like any other person who could make mistakes. Therefore, I see myself entitled to change of opinion if better logic is provided sufficiently. -/- I have to try writing this book since it is already long overdue, and it is time to share my opinions and7 understandings of the world as simple and as naive that they can be! -/- Moreover, this book will be as I usually say that ''in school, first, you learn a lesson then you have a test, but in life, first, you have a test then you learn a lesson''. -/- So I promise to listen to your criticism and pieces of advice to make myself better and develop into a better and wiser individual. I hope this book helps us both. -/- This book is not about me being right or wrong since I will always look forward to criticism since critics are the ones that help us be better at what we are or what we are trying to accomplish. (shrink)

The epistemology and phenomenology of contemporary society tend to be deepened, and the philosophical challenges never are minimal that we may be called to face with the kind of post-modern chaos from the rapidly changing phenomena of the global community. The ballast held on the identity of faculty members as a teacher and researcher now turns due so as to be recast with our intrinsic of routine performance. I considered their quality as bent on the intellectual strife on the (...) method and the kind of attitude, say, evaluation and consultation. In this paper, the authors have presented some thought and implications that triangulated the triad, i.e., research methodology, program evaluation and consulting illustration on the college research program rankings. The author is hoped that the discourse can help the academicians to share the attribute of different methods as well as the dimension of evaluation and consulting, perhaps essentially related with their work role in terms of teaching and researching. Keywords: Research Method, Qualitative Studies, Mixed Method, Program Evaluation, Theory and Philosophy, Program Rankings, Consulting, Journal Writing. (shrink)

Louise Brown's birth in 1978 heralded a new era not just in reproductive technology, but in the relationship between science, cells, and society. For the first time, human embryos could be created, selected, studied, manipulated, frozen, altered, or destroyed, outside the human body. But with this possibility came a plethora of ethical questions. Is it acceptable to destroy a human embryo for the purpose of research? Or to create an embryo with the specific purpose of destroying it for research? In (...) an attempt to construct ethical and legal frameworks for the new era of cellular reprogramming, legislators and ethicists have tried to distinguish between different kinds of biological entity. We treat cells differently depending on whether they are human or animal, somatic cells or gametes, and on whether they are embryos or not. But this approach to the ethics of cellular reprogramming is doomed to failure for the simple reason that cellular reprogramming in itself destroys the distinctions that the law requires to function. In this article, we explore the historical trajectory of cellular reprogramming and its relationship with ethics and society. We suggest that the early hype of embryo research has not obviously fulfilled expectations, but since new avenues of research are continuously opening, it is hard to say definitely that these promises have been broken. We explore the forthcoming challenges posed by the creation of DNA from scratch in the laboratory, and the implications of this for understandings of identity, privacy, and reproduction. We conclude that while ethics used to seek answers in biological facts, this is no longer possible, and a new approach is required. (shrink)

Over the past few years we have seen an increasing number of legal proceedings related to inappropriately implemented technology. At the same time career paths have diverged from the foundation of statistics out to Data Scientist, Machine Learning and AI. All of these new branches being fundamentally branches of statistics and mathematics. This has meant that formal training has struggled to keep up with what is required in the plethora of new roles. Mathematics as a taught subject is still (...) based in decades old teaching specifications and has not been updated centrally as a curriculum to include new technologies, coding or ethics. This subject area is firmly split between ICT and Mathematics in secondary school, continuing on to be split between Computer Science and Mathematics at University. As we move forwards with technology we see these once seperate fields becoming increasingly intertwined. We propose that existing provision for concepts such as ethics and societal responsibility in analysis currently exist but have not been incorporated into the mainstream curriculum of School or University. This is partially due to the split between fields in an educational setting but also the speed with which education is able to keep up with Industry and its requirements. Principles and frameworks of socially responsible modelling beginning at school level means that ethics and real-life modelling are introduced much earlier than normal. Integrating these concepts with philosophical principles of society and politics ensures a suitable background for future modellers and users of technology to draw on. Modelling is currently undertaken in technical sciences at University but the Subject Benchmark Statements are not current (Subject Benchmark Statements describe the nature of study and the academic standards expected of graduates in specific subject areas. They show what graduates might reasonably be expected to know, do and understand at the end of their studies). Even in 2019 the UK did not yet have Benchmark Statements that discuss the learning to be done in Higher Education around AI and advanced Machine Learning. Where there is provision for AI and Data Science within degree courses ethics is not generally highlighted as a key concept. As such there can be a lack of focus on the teaching of modelling or ethics as specific skills. The skills required to use a basic statistical model, for example would not be sufficient to start from scratch and build an ethical model reflecting real-world scenarios with which to inform policy or organisational decision making. This is a skill in itself and includes such aspects as awareness of data quality, ethics, user implementation problems, context and an understanding of the environment that the model is being created in. As the field of analytics has progressed so quickly in the last decade modules such as those covering AI have simply been bolted on to Maths or Computing degrees rather than being fully detailed as key areas of study or driving new, more integrated courses of study. This paper posits that gaps at primary, secondary and tertiary educational levels need to be addressed. Implementing and integrating key concepts from school level is essential so that areas such as assumptions, caveats, quality assurance and answering the right questions with constructive challenge become a cultural fixture. This not only helps developers of technology but users of rapidly developing technology also. In addition, leadership and soft skills as part of this education will ensure that a cultural shift can take place and promote continuous improvement in analysis within organisations. The addition of key concepts throughout the educational system and the updating of potentially outdated curriculums is key to ensuring a functional society. A society where every citizen is a user of tech and those that develop it can be ethical and socially responsible in its development. (shrink)

We live in a world of crowds and corporations, artworks and artifacts, legislatures and languages, money and markets. These are all social objects — they are made, at least in part, by people and by communities. But what exactly are these things? How are they made, and what is the role of people in making them? In The Ant Trap, Brian Epstein rewrites our understanding of the nature of the social world and the foundations of the social sciences. Epstein explains (...) and challenges the three prevailing traditions about how the social world is made. One tradition takes the social world to be built out of people, much as traffic is built out of cars. A second tradition also takes people to be the building blocks of the social world, but focuses on thoughts and attitudes we have toward one another. And a third tradition takes the social world to be a collective projection onto the physical world. Epstein shows that these share critical flaws. Most fundamentally, all three traditions overestimate the role of people in building the social world: they are overly anthropocentric. Epstein starts from scratch, bringing the resources of contemporary metaphysics to bear. In the place of traditional theories, he introduces a model based on a new distinction between the grounds and the anchors of social facts. Epstein illustrates the model with a study of the nature of law, and shows how to interpret the prevailing traditions about the social world. Then he turns to social groups, and to what it means for a group to take an action or have an intention. Contrary to the overwhelming consensus, these often depend on more than the actions and intentions of group members. (shrink)

DRAFT Several philosophers have suggested that it is impossible to formulate a theory of population ethics that simultaneously satisfies all of the necessary conditions set by our ethical intuitions (Arrhenius, 2000; Blackorby et al., 2004). However, we will attempt to demonstrate that, using the Stone-Weierstrass method, starting from scratch with a completely underspecified polynomial approximation function for commensurable cardinal utility (used here as a synonym for welfare) in a domain of commodities and populations, there are possible sets of (...) functions that satisfy many if not all of our ethical intuitions (avoiding the Repugnant and Sadistic Conclusions, and others), thus providing a self-consistent welfarist axiology. DRAFT. (shrink)

An ideal constructor produces geometry from scratch, modelled through the bottom-up assembly of a graph-like lattice within a space that is defined, bootstrap-wise, by that lattice. Construction becomes the problem of assembling a homogeneous lattice in three-dimensional space; that becomes the problem of resolving geometrical frustration in quasicrystalline structure; achieved by reconceiving the lattice as a dynamical system. The resulting construction is presented as the introductory model sufficient to motivate the formal argument that it is a fundamental structure; (...) based on which, it is proposed that where mathematics’ numbers conventionally correspond to dimensionless points on the stateless number line, numbers more fundamentally correspond to an ordering of discrete objects constructed within the stateful number lattice. A second observation is that this fundamental lattice structure is helically configured with fractal character, which, as it relates to the geometry underlying spacetime, has relevance to questions in physics, particularly those involving wave-particle duality. (shrink)

This paper explores relationships between environment and education after the Covid-19 pandemic through the lens of philosophy of education in a new key developed by Michael Peters and the Philosophy of Education Society of Australasia. The paper is collectively written by 15 authors who responded to the question: Who remembers Greta Thunberg? Their answers are classified into four main themes and corresponding sections. The first section, ‘As we bake the earth, let's try and bake it from scratch’, gathers (...) wider philosophical considerations about the intersection between environment, education, and the pandemic. The second section, ‘Bump in the road or a catalyst for structural change?’, looks more closely into issues pertaining to education. The third section, ‘If you choose to fail us, we will never forgive you’, focuses to Greta Thunberg’s messages and their responses. The last section, ‘Towards a new normal’, explores future scenarios and develops recommendations for critical emancipatory action. The concluding part brings these insights together, showing that resulting synergy between the answers offers much more then the sum of articles’ parts. With its ethos of collectivity, interconnectedness, and solidarity, philosophy of education in a new key is a crucial tool for development of post-pandemic education. (shrink)

World news can be discouraging these days. In order to counteract the effects of fake news and corruption, scientists have a duty to present the truth and propose ethical solutions acceptable to the world at large. -/- By starting from scratch, we can lay down the scientific principles underlying our very existence, and reach reasonable conclusions on all major topics including quantum physics, infinity, timelessness, free will, mathematical Platonism, happiness, ethics and religion, all the way to creation and (...) a special type of multiverse. -/- This article amounts to a summary of my personal Theory of Everything. -/- DOI: 10.13140/RG.2.2.36046.31049. (shrink)

The scientific study of living organisms is permeated by machine and design metaphors. Genes are thought of as the ‘‘blueprint’’ of an organism, organisms are ‘‘reverse engineered’’ to discover their functionality, and living cells are compared to biochemical factories, complete with assembly lines, transport systems, messenger circuits, etc. Although the notion of design is indispensable to think about adaptations, and engineering analogies have considerable heuristic value (e.g., optimality assumptions), we argue they are limited in several important respects. In particular, the (...) analogy with human-made machines falters when we move down to the level of molecular biology and genetics. Living organisms are far more messy and less transparent than human-made machines. Notoriously, evolution is an opportunistic tinkerer, blindly stumbling on ‘‘designs’’ that no sensible engineer would come up with. Despite impressive technological innovation, the prospect of artificially designing new life forms from scratch has proven more difficult than the superficial analogy with ‘‘programming’’ the right ‘‘software’’ would suggest. The idea of applying straightforward engineering approaches to living systems and their genomes— isolating functional components, designing new parts from scratch, recombining and assembling them into novel life forms—pushes the analogy with human artifacts beyond its limits. In the absence of a one-to-one correspondence between genotype and phenotype, there is no straightforward way to implement novel biological functions and design new life forms. Both the developmental complexity of gene expression and the multifarious interactions of genes and environments are serious obstacles for ‘‘engineering’’ a particular phenotype. The problem of reverse-engineering a desired phenotype to its genetic ‘‘instructions’’ is probably intractable for any but the most simple phenotypes. Recent developments in the field of bio-engineering and synthetic biology reflect these limitations. Instead of genetically engineering a desired trait from scratch, as the machine/engineering metaphor promises, researchers are making greater strides by co-opting natural selection to ‘‘search’’ for a suitable genotype, or by borrowing and recombining genetic material from extant life forms. (shrink)

Practically all modern definitions of war rule out that individuals can wage war. They conceive of war as a certain kind of conflict between groups. In fact, many definitions even restrict the term “war” to sustained armed conflicts between states. Instead of taking such definitions as points of departure, the article starts from scratch. I first explain what an explication of the concept of “war” should achieve. I then introduce the fundamental, and frequently overlooked, distinction between war as (...) an historical event and war as an action. It is war as action—which, unlike events, can be right or wrong—that I explicate. Testing our linguistic intuitions with different examples of conflict I isolate several criteria that a war proper has to fulfill and try to demonstrate that not only collectives but individuals, too, can wage war. In conclusion I examine alternative definitions of war and show that in comparison to them mine fares rather well. (shrink)

The first decade of this century has seen the nascency of the first mathematical theory of general artificial intelligence. This theory of Universal Artificial Intelligence (UAI) has made significant contributions to many theoretical, philosophical, and practical AI questions. In a series of papers culminating in book (Hutter, 2005), an exciting sound and complete mathematical model for a super intelligent agent (AIXI) has been developed and rigorously analyzed. While nowadays most AI researchers avoid discussing intelligence, the award-winning PhD thesis (Legg, 2008) (...) provided the philosophical embedding and investigated the UAI-based universal measure of rational intelligence, which is formal, objective and non-anthropocentric. Recently, effective approximations of AIXI have been derived and experimentally investigated in JAIR paper (Veness et al. 2011). This practical breakthrough has resulted in some impressive applications, finally muting earlier critique that UAI is only a theory. For the first time, without providing any domain knowledge, the same agent is able to self-adapt to a diverse range of interactive environments. For instance, AIXI is able to learn from scratch to play TicTacToe, Pacman, Kuhn Poker, and other games by trial and error, without even providing the rules of the games. These achievements give new hope that the grand goal of Artificial General Intelligence is not elusive. This article provides an informal overview of UAI in context. It attempts to gently introduce a very theoretical, formal, and mathematical subject, and discusses philosophical and technical ingredients, traits of intelligence, some social questions, and the past and future of UAI. (shrink)

An influential philanthropist, prominent peach farmer, strong political influencer, and founder of Sikh institutions and festivals at Yuba City, S. Didar Singh Bains, has been a globally renowned Punjabi-American of California, Washington, D.C., USA. Starting from scratch, but only with his consistent hard work, perseverance and faith, he rose in prominence and stature in every facet of his life. His ability and will to give back and empower others made Didar the embodiment of the American Dream.

Gamification can be a useful tool when engaging young students with science. When designing a new game, it is pivotal that a featured storytelling element can draw students' attention while providing an enjoyable experience. However, building such an insightful science dissemination narrative from scratch is often challenging. As real-life situations are frequently more appealing to students, adding alternative history elements can be helpful when designing such a game. In this paper, we present a novel educational framework to design (...) an educational, science-based storytelling activity using the history of science and alternative hypothesis as ground tools for its inception. By analysing student's feedback when playing a science-based game with a historic episode outline, they report that their learning experience was fun and relatable, matching their scientific performance during the game. (shrink)

Scientific inquiry takes onward course from the point where previous scientists had reached. But philosophical analysis initiates from scratch. Philosophy questions everything and chooses starting point for itself after having ruled out all the unsubstantiated and doubtful elements of the topic under study. Secondly, known realities must make sense. If a theory is officially 'counterintuitive', then either it is mere fiction or at the most; a distorted form of truth. This book's analysis is based on the philosophical (...) principle that knowledge is empirical and does not arise magically in absence of observational grounds. With philosophical approach, it was doubtful to accept that Georges Lemaître already knew Hubble's law in year 1927 that was yet to be found by Edwin Hubble in year 1929. Therefore this book started with denial of the claim that Lemaître already knew this law. But analysis of section I.III forced author to look the matter from original source and it came to surface that Lemaître knew this law in year 1927. But contrary to mainstream claim, Lemaître had not derived that law from general relativity (GR) equations rather had deduced from a method given by Hubble himself. Whereas whole case of the Big Bang Theory rests on misleading claim that Lemaître had derived this law solely from GR equations. The basis of this claim happened to be a manipulated translation (1931) of Lemaître's original 1927 article. People regard Big Bang Theory as truth because authoritative sources deceived them by presenting a manipulated translation in year 1931. This book is a philosophical analysis of original papers of Alexander Friedmann (1922), Georges Lemaître (1927), Edwin Hubble (1929) and Albert Einstein (1917) thus covers actual roots and origins of the Big Bang Model. In this book, only the core elements of the Big Bang Model i.e. 'Expansion of Universe' and 'CMBR' are covered. It has been sufficiently shown that 'expansion' is an illusion whereas CMBR is a proof that we live in a non-expanding infinite universe. If these two core elements of the standard Big Bang Model are precisely refuted then there is nothing crucial left with the standard model. For readers of this book at least, Big Bang Theory shall become a story of past mistakes. Author is not an authoritative source on science topics therefore readers must download all the above mentioned original papers and check all the points outlined in this book from relevant original papers. Unlike reading from an authoritative source that makes readers relaxed and careless but enables authorities to deceive them in worst way possible, this book requires readers to remain alert on all the points discussed in the book and verify everything from original sources whose links are given at the end of this description and also provided in footnotes section of the book. This book is not a judgment of the topic rather it is like a case presented by an advocate while readers are the judges. Readers are required to apply their own critical judgment to conclude the matter by themselves. After carefully reading this book, readers will also start taking 'authoritative sources' with due care and it will become difficult for the 'authorities' to deceive them again. (shrink)

Much of the literature on the relationship between belief and credence has focused on the reduction question: that is, whether either belief or credence reduces to the other. This debate, while important, only scratches the surface of the belief-credence connection. Even on the anti-reductive dualist view, belief and credence could still be very tightly connected. Here, I explore questions about the belief-credence connection that go beyond reduction. This paper is dedicated to what I call the independence question: just how independent (...) are belief and credence? I look at this question from two angles: a descriptive one (as a psychological matter, how much can belief and credence come apart?) and a normative one (for a rational person, how closely connected are belief and credence?) Ultimately, I suggest that the two attitudes are more independent than one might think. (shrink)

It is a standard assumption in contemporary metaphysics that concrete objects come with a location in space and time. This applies not only to material objects and events, but also modes (such as the roundness of the apple, the softness of the pillow, Socrates' wisdom) and entities that have been called 'disturbances' (e.g. holes, folds, faults, and scratches). Taking the approach of descriptive metaphysics, I will show that modes and disturbances fail to have a bearer-independent spatial location. This allows for (...) a metaphysical explanation of the Chomskyan contrast between 'There is a fly believed to be in the bottle' and the unacceptable 'There is a flaw believed to be in the argument'. A subsidiary point this paper makes is that in their lack of a direct spatial location, modes need to be sharply distinguished from tropes as a category of foundationalist metaphysics that has been at the center of a pursuit of a one-category ontology since Williams (1953). (shrink)

We offer a novel interpretation of the argumentative role that Meditation IV plays within the whole of the Meditations. This new interpretation clarifies several otherwise head-scratching claims that Descartes makes about Meditation IV, and it fully exonerates the Fourth Meditation from either raising or exacerbating Descartes’ circularity problems.

Current state-of-the-art out-of-distribution algorithm does not address the variation in dynamic and static behavior between malware variants from the same family as evidence in their poor performance against an out-of-distribution malware attack. We aims to address this limitation by: 1) exploitation of the in-dimensional embedding space between variants from the same malware family to account for all variations 2) exploitation of the inter-dimensional space between different malware family 3) building a deep learning-based model with a shallow neural network (...) with maximum of two connected layers to overcome overfitting from the scratch 4) building a Bayesian inference based computation algorithm that intertwine with connected network and is able to create new and adjust existing data points in response to an exposure to new out-of-distribution variants of existing or new malware family which determines the extent at which model weight is adjusted which in turn triggers update on the gradient. Preliminary result of our proposed framework gave an accuracy of 81\% in the successful classification of a novel out-of-distribution malware attack, something that could not be achieve by any of the state-of-the-art algorithms on novel malware classification. (shrink)

Current state-of-the-art out-of-distribution algorithm does not address the variation in dynamic and static behavior between malware variants from the same family as evidence in their poor performance against an out-of-distribution malware attack. We aims to address this limitation by: 1) exploitation of the in-dimensional embedding space between variants from the same malware family to account for all variations 2) exploitation of the inter-dimensional space between different malware family 3) building a deep learning-based model with a shallow neural network (...) with maximum of two connected layers to overcome overfitting from the scratch 4) building a Bayesian inference based computation algorithm that intertwine with connected network and is able to create new and adjust existing data points in response to an exposure to new out-of-distribution variants of existing or new malware family which determines the extent at which model weight is adjusted which in turn triggers update on the gradient. Preliminary result of our proposed framework gave an accuracy of 81\% in the successful classification of a novel out-of-distribution malware attack, something that could not be achieve by any of the state-of-the-art algorithms on novel malware classification. (shrink)

The near-miss has been considered an important factor of reinforcement in gambling behavior, and previous research has focused more on its industry-related causes and effects and less on the gaming phenomenon itself. The near-miss has usually been associated with the games of slots and scratch cards, due to the special characteristics of these games, which include the possibility of pre-manipulation of award symbols in order to increase the frequency of these “engineered” near-misses. In this paper, we argue that starting (...) from an elementary mathematical description of the classical (by pure chance) near-miss, generalizable to any game, and focusing equally on the epistemology of its constitutive concepts and their mathematical description, we can identify more precisely the fallacious elements of the near-miss cognitive effects and the inadequate perception and representation of the observational-intentional “I was that close.” This approach further suggests a strategy of using non-standard mathematical knowledge of an epistemological type in problem-gambling prevention and cognitive therapies. (shrink)

Concept Progress is a fusion of science fiction and philosophy. It is a thesis on metaphysics that stretches beyond the scope of modern science and scratches many of our curious itches. The thesis is complemented by short and loosely tied sci-fi stories that make its conceptualizations come to life. ​ The central theme throughout is that progress is a driving force in human evolution. This recurring viewpoint has previously stirred much debate. However, as we escalate through the twenty-first century, the (...) evidence is plentiful. Concept Progress offers a fresh perspective into the topic, citing humanity's ongoing accomplishments as a convincing piece of that evidence. In the book, we celebrate ourselves for our achievements, challenge our perceived limits, and conclude that progress will eventually produce the most evolved life form. In so doing, we look back to the beginning of time and circle forward to a time that is farther away than the current age of the universe. ​ While the tone of the book's body resembles that of a philosophical prose, with each chapter, the reader realizes more and more that the narrative is actually one of science fiction. The intent of the book's structure and approach is manifold. ​ First, it is safe to say that any literature that points to the future is already, by definition, a work of fiction—no matter how serious it tries to sound. Imagining future technologies, foreseeing the next stages of human evolution, and exploring the realm of the highest dimension surely makes it a science fiction. ​ Second, the book is a collection of concepts—abstract notions of the mind that reflect our grasp on certain aspects of reality. It is also a play on those concepts, exposing how our progressive understanding of these notions can gradually be transcended. Each chapter starts with a sketch of a particular concept whose humanistic yet quantum mechanical context lets us identify with it and be mystified by it. From the concepts of sound and light to the concepts of consciousness and coexistence, each concept tale depicts a personal expression of our mutual worldview. ​ Third, each one of the ten chapters concludes with a science fiction story. These stories project the theme further and subtly point to each other. As we connect the dots from one story to another, the outline reveals a world that makes us wonder whether we are headed toward its future or whether we will bypass it as an alternate universe. In one story, we meet the inventor of mind-reading technology while in another story, we meet an artificial life form that will be made possible by this technology. Yet another story is about the time-traveling mind of an astrophysicist whose life's work has impacts on whole timelines, as revealed by a different story. In the end, it all comes together with the final piece of the puzzle completing not only the short story series, but also the novel as a whole. ​ Each three-part chapter is a triad with a distinct purpose in mind. We begin the journey with our own curiosity. This basic emotion allows us to open the door to that which we are so curiously seeking. Essentially, that covers everything. In questioning the entirety of existence, we commence with the premise that it is the element of life that sends us on a quest for meaning. So we review the trend of life's evolution on Earth from its roots to the present day and follow this trend into the distant future. The process of evolutionary development leads us to a recipe for one's own personal progress, which is comprised of physical, mental, and spiritual ingredients. It soon becomes clear that a species can change only insofar as its individual members embrace this change. And we realize that our choice in the matter has impacts not only on our own future, but also on the future of everyone who shares our timeline. ​ In some ways, Concept Progress is a modern reflection of Charles Darwin's revolutionary theory of evolution. In other ways, it is an encouraging observation of our humble human existence. As we widen the time scale and follow this evolutionary trend from biological, social, and cosmic angles, the concepts of evolution and progress slowly but surely become synonymous. (shrink)

I argue that there can be appropriate aesthetic experiences even of basic somatic experiences like itches and scratches. I show, in relation to accounts of aesthetic experience offered by Carroll and Stecker, that experiences of itches and scratches can be aesthetic; I show that itches can be objects of attention in the way that normative accounts of the aesthetic often require; and I show, in relation to accounts of the aesthetic appreciation of nature offered by Carlson and Carroll, that aesthetic (...) experience of itches and scratches can be appropriate. I argue that attention to the domain of somatic experience is worthwhile, in that it offers the prospects of significant aesthetic satisfaction, and I suggest that even attention to unpleasant experiences like itches and pains may be aesthetically rewarding. (shrink)

In recent years, several strategies have been proposed to tackle social controversies about topics in which science is settled, among which one of the most influential is that of Elizabeth Anderson, who argues that any lay person with access to the Internet and basic education can reliably assess the acceptability of various claims involving expert knowledge. In particular, the author shows that this procedure can be successfully applied to the case of anthropogenic global warming. In this article we will try (...) to argue why, even if we concede that Anderson's proposal is satisfactory in that particular case, it fails to generalize when applied to other controversies. In this article, we illustrate it with the cases of flat-Eartherism and anti-vaxxerism. (shrink)

The 1994 US spectrum auction is now a paradigmatic case of the successful use of microeconomic theory for policy-making. We use a detailed analysis of it to review standard accounts in philosophy of science of how idealized models are connected to messy reality. We show that in order to understand what made the design of the spectrum auction successful, a new such account is required, and we present it here. Of especial interest is the light this sheds on the issue (...) of progress in economics. In particular, it enables us to get clear on exactly what has been progressing, and on exactly what theory has – and has not – contributed to that. This in turn has important implications for just what it is about economic theory that we should value. (shrink)

Simple idealized models seem to provide more understanding than opaque, complex, and hyper-realistic models. However, an increasing number of scientists are going in the opposite direction by utilizing opaque machine learning models to make predictions and draw inferences, suggesting that scientists are opting for models that have less potential for understanding. Are scientists trading understanding for some other epistemic or pragmatic good when they choose a machine learning model? Or are the assumptions behind why minimal models provide understanding misguided? In (...) this paper, using the case of deep neural networks, I argue that it is not the complexity or black box nature of a model that limits how much understanding the model provides. Instead, it is a lack of scientific and empirical evidence supporting the link that connects a model to the target phenomenon that primarily prohibits understanding. (shrink)

The study aims to identify the efficiency of the university education performance from the perspective of postgraduate and undergraduate students in international and Palestinian universities. The analytical descriptive approach was used for this purpose and the questionnaire was used as a main tool for data collection. The study community consists of: post graduate students, (23850) graduate students and (146355) undergraduate students. The sample of the study was 378 graduate students and 383 undergraduate students. The random stratified sample was used. (...) The Statistical Package of Social Sciences (SPSS) was also used for data analysis. The study reached a number of results, the most important of which are: The level of efficiency of educational performance in Palestinian and international universities from the point of view of postgraduate and undergraduate students was high. And that there are significant differences between the average views of the sample of the study on the efficiency of educational performance in Palestinian and international universities attributed to the University and to the benefit of international universities. The study concluded many recommendations, the most important of which is the necessity of continuing to develop e-learning strategies that affect the efficiency of educational performance and research commensurate with the university's position in the local and international community, which puts it on the best classification between local and international universities through e-learning. (shrink)

Standpoint epistemology is committed to a cluster of views that pays special attention to the role of social identity in knowledge‐acquisition. Of particular interest here is the situated knowledge thesis. This thesis holds that for certain propositions p, whether an epistemic agent is in a position to know that p depends on some nonepistemic facts related to the epistemic agent's social identity. In this article, I examine two possible ways to interpret this thesis. My first goal here is to clarify (...) existing interpretations of this thesis that appear in the literature but that are undeveloped and often mistakenly conflated. In so doing, I aim to make clear the different versions of standpoint epistemology that one might accept and defend.This project is of significance, I argue, because standpoint epistemology provides helpful tools for understanding a phenomenon of recent interest: epistemic oppression. My second goal is to provide an analysis that makes clear how each of the readings I put forth can be used to illuminate forms of epistemic oppression. (shrink)

In this article, we address a major outstanding question of probabilistic Bayesian epistemology: how should a rational Bayesian agent update their beliefs upon learning an indicative conditional? A number of authors have recently contended that this question is fundamentally underdetermined by Bayesian norms, and hence that there is no single update procedure that rational agents are obliged to follow upon learning an indicative conditional. Here we resist this trend and argue that a core set of widely accepted Bayesian norms is (...) sufficient to identify a normatively privileged updating procedure for this kind of learning. Along the way, we justify a privileged formalization of the notion of ‘epistemic conservativity’, offer a new analysis of the Judy Benjamin problem, and emphasize the distinction between interpreting the content of new evidence and updating one’s beliefs on the basis of that content. (shrink)

We present data and argument to show that in Tetris - a real-time interactive video game - certain cognitive and perceptual problems are more quickly, easily, and reliably solved by performing actions in the world rather than by performing computational actions in the head alone. We have found that some translations and rotations are best understood as using the world to improve cognition. These actions are not used to implement a plan, or to implement a reaction; they are used to (...) change the world in order to simplify the problem-solving task. Thus, we distinguish pragmatic actions ñ actions performed to bring one physically closer to a goal - from epistemic actions - actions performed to uncover information that is hidden or hard to compute mentally. To illustrate the need for epistemic actions, we first develop a standard information-processing model of Tetris-cognition, and show that it cannot explain performance data from human players of the game - even when we relax the assumption of fully sequential processing. Standard models disregard many actions taken by players because they appear unmotivated or superfluous. However, we describe many such actions that are actually taken by players that are far from superfluous, and that play valuable roles in improving human performance. We argue that traditional accounts are limited because they regard action as having a single function: to change the world. By recognizing a second function of action - an epistemic function - we can explain many of the actions that a traditional model cannot. Although, our argument is supported by numerous examples specifically from Tetris, we outline how the one category of epistemic action can be incorporated into theories of action more generally. (shrink)

In this paper, I expand my upon earlier linguistic research (Lian, 2023), which delved into the genre of abstracts from Western philosophical papers. I engage with the philosophical ramifications emanating from the guidelines established for crafting philosophy paper abstracts (Lian, 2023) and underscore their significance in the domain of academic philosophical writing. A pivotal focus of this research is to navigate the intricate philosophical challenges posed by cross-disciplinary investigations bridging applied linguistic statistics with philosophical paper composition, specifically, the (...) nuanced interpretation of linguistic findings in a manner palatable to philosophers. My exploration probes into the dynamics of various concepts within Inter-Disciplinary Research (IDR), highlighting the complexities in reconciling semantic intuitions related to the notions of "Method (M)" and "Conclusion (C)". I delineate three philosophical stances: (1) deferring to scientific authority, (2) recognizing domain-specific terminologies, and (3) interrogating peripheral scientific theories. I posit that these stances significantly influence the ways philosophers engage with and resolve the cross-disciplinary semantic and theoretical contentions stemming from the rhetorical structures of "Method (M)" and "Conclusion (C)". This work proposes avenues to attain either "theoretical coherence" or "disciplinary synthesis", thereby fostering enhanced cross-disciplinary collaboration and fortifying academic discourse across diverse fields. -/- Keywords: Inter-Disciplinary Research (IDR), Applied linguistics, Philosophical writing, Genre Analysis, Rhetorical Moves . (shrink)

In response to the growing social discontent at what is perceived as generational injustice, due to younger generations of voters facing long-term negative consequences from issues disproportionately decided by the votes of older generations of voters, there have been suggestions to introduce an upper age voting threshold. These have been all but universally dismissed as offensive and contrary to basic democratic values. In the present article, I show that the idea is in fact entirely consonant with present-day democratic practices (...) and far from without a precedent. Hence, I describe how the aforementioned generational injustice can be rectified using a simple vote weighting scheme which is easy to implement and interpret. Lastly, I discuss the societal effects that this alteration of the voting system would have on the distribution of the origins of political power. (shrink)

Previous research in Explainable Artificial Intelligence (XAI) suggests that a main aim of explainability approaches is to satisfy specific interests, goals, expectations, needs, and demands regarding artificial systems (we call these “stakeholders' desiderata”) in a variety of contexts. However, the literature on XAI is vast, spreads out across multiple largely disconnected disciplines, and it often remains unclear how explainability approaches are supposed to achieve the goal of satisfying stakeholders' desiderata. This paper discusses the main classes of stakeholders calling for explainability (...) of artificial systems and reviews their desiderata. We provide a model that explicitly spells out the main concepts and relations necessary to consider and investigate when evaluating, adjusting, choosing, and developing explainability approaches that aim to satisfy stakeholders' desiderata. This model can serve researchers from the variety of different disciplines involved in XAI as a common ground. It emphasizes where there is interdisciplinary potential in the evaluation and the development of explainability approaches. (shrink)

Explaining agency is a significant challenge for those who are interested in the sciences of the mind, and non-representationalists are no exception to this. Even though both ecological psychologists and enactivists agree that agency is to be explained by focusing on the relation between the organism and the environment, they have approached it by focusing on different aspects of the organism-environment relation. In this paper, I offer a suggestion for a radical embodied account of agency that combines ecological psychology with (...) recent trends in enactive cognitive science. According to this proposal, while enactivism focuses primarily on describing how our acquired sensorimotor schemes and habits mutually equilibrate, affecting our tendency to act upon some affordances instead of others, ecological psychology focuses on studying how perceptual information contributes to the actualization of the sensorimotor schemes and habits without mediating representations, inferences, and computations. The paper concludes by briefly exploring how this ecological-enactive theory of agency can account for how socio-cultural norms shape human agency. (shrink)

It is an orthodoxy of modern political thought that violence is morally incompatible with politics, with the important exception of the permissible violence carried out by the state. The “commonsense argument” for permissible political violence denies this by extending the principles of defensive ethics to the context of state-subject interaction. This article has two aims: First, I critically investigate the commonsense argument and its limits. I argue that the scope of permissions it licenses is significantly more limited than its proponents (...) allow. Second, I develop an alternative (and supplementary) framework for thinking about permissible political violence. I argue that under certain circumstances, subjects may violently protest their treatment, where protest is understood as an expression of rejection of those circumstances. On my view, protest, including violent protest, is permissible when it is the fitting response to those circumstances. This alternative framework accounts for an important class of cases of intuitively permissible political violence, including cases in which such violence does not serve strategic political ends or is even counterproductive towards those ends. (shrink)

Two of the most difficult problems in the foundations of physics are (1) what gives rise to the arrow of time and (2) what the ontology of quantum mechanics is. I propose a unified 'Humean' solution to the two problems. Humeanism allows us to incorporate the Past Hypothesis and the Statistical Postulate into the best system, which we then use to simplify the quantum state of the universe. This enables us to confer the nomological status to the quantum state in (...) a way that adds no significant complexity to the best system and solves the ''supervenient-kind problem'' facing the original version of the Past Hypothesis. We call the resultant theory the Humean unification. It provides a unified explanation of time asymmetry and quantum entanglement. On this theory, what gives rise to time's arrow is also responsible for quantum phenomena. The new theory has a separable mosaic, a best system that is simple and non-vague, less tension between quantum mechanics and special relativity, and a higher degree of theoretical and dynamical unity. The Humean unification leads to new insights that can be useful to Humeans and non-Humeans alike. (shrink)

Is there progress in philosophy? If so, how much? Philosophers have recently argued for a wide range of answers to these questions, from the view that there is no progress whatsoever to the view that philosophy has provided answers to all the big philosophical questions. However, these views are difficult to compare and evaluate, because they rest on very different assumptions about the conditions under which philosophy would make progress. This paper looks to the comparatively mature debate about scientific (...) progress for inspiration on how to formulate four distinct accounts of philosophical progress, in terms of truthlikeness, problem-solving, knowledge, and understanding. Equally importantly, the paper outlines a common framework for how to understand and evaluate these accounts. We distill a series of lessons from this exercise, to help pave the way for a more fruitful discussion about philosophical progress in the future. (shrink)

According to the objection from positive duties, Kant's Formula of Universal Law is flawed because it cannot be used to derive any affirmative moral requirements. This paper offers a response to that objection and proposes a novel way to derive positive duties from Kant's formula. The Formula of Universal Law yields positive duties to adopt our own perfection and others’ happiness as ends because we could not rationally fail to will those ends as universal ends.

After raising some minor philosophical points about Kevin Elliott’s A Tapestry of Values (2017), I argue that we should expand on the themes raised in the book and that philosophers of science need to pay as much attention to the loom of science (i.e., the institutional structures which guide the pursuit of science) as the tapestry of science. The loom of science includes such institutional aspects as patents, funding sources, and evaluation regimes that shape how science gets pursued, and that (...) attending to these aspects will enable us to provide more robust guidance on the values that infuse the tapestry of science. (shrink)

Over the years, companies have adopted hiring algorithms because they promise wider job candidate pools, lower recruitment costs and less human bias. Despite these promises, they also bring perils. Using them can inflict unintentional harms on individual human rights. These include the five human rights to work, equality and nondiscrimination, privacy, free expression and free association. Despite the human rights harms of hiring algorithms, the AI ethics literature has predominantly focused on abstract ethical principles. This is problematic for two reasons. (...) First, AI principles have been criticized for being vague and not actionable. Second, the use of vague ethical principles to discuss algorithmic risks does not provide any accountability. This lack of accountability creates an algorithmic accountability gap. Closing this gap is crucial because, without accountability, the use of hiring algorithms can lead to discrimination and unequal access to employment opportunities. This paper makes two contributions to the AI ethics literature. First, it frames the ethical risks of hiring algorithms using international human rights law as a universal standard for determining algorithmic accountability. Second, it evaluates four types of algorithmic impact assessments in terms of how effectively they address the five human rights of job applicants implicated in hiring algorithms. It determines which of the assessments can help companies audit their hiring algorithms and close the algorithmic accountability gap. (shrink)

Many authors in ethics, economics, and political science endorse the Lottery Requirement, that is, the following thesis: where different parties have equal moral claims to one indivisible good, it is morally obligatory to let a fair lottery decide which party is to receive the good. This article defends skepticism about the Lottery Requirement. It distinguishes three broad strategies of defending such a requirement: the surrogate satisfaction account, the procedural account, and the ideal consent account, and argues that none of these (...) strategies succeed. The article then discusses and discharges some remaining grounds for resistance to these skeptical conclusions, as well as the possibility of defending a weaker version of a normative lottery principle. The conclusion is that we have no reason to believe that where equal claims conflict, we are morally required to hold a lottery, as opposed to simply picking one of the parties on more subjective grounds or out of pure whim. In addition to the practical consequences of this skeptical view, the article sketches some theoretical implications for debates about saving the greater number and about axiomatic utilitarianism. (shrink)

In this article, we propose some fundamental requirements for the appearance of adaptivity. We argue that a basic metabolic organization, taken in its minimal sense, may provide the conceptual framework for naturalizing the origin of teleology and normative functionality as it appears in living systems. However, adaptivity also requires the emergence of a regulatory subsystem, which implies a certain form of dynamic decoupling within a globally integrated, autonomous system. Thus, we analyze several forms of minimal adaptivity, including the special case (...) of motility. We go on to explain how an open-ended complexity growth of motility-based adaptive agency, namely, behavior, requires the appearance of the nervous system. Finally, we discuss some implications of these ideas for embodied robotics. (shrink)

Michael Huemer argues that cross-cultural convergence toward liberal moral values is evidence of objective moral progress, and by extension, evidence for moral realism. Nathan Cofnas claims to debunk Huemer’s argument by contending that convergence toward liberal moral values can be better explained by ‘two related non-truth-tracking processes’: self-interest and its long-term tendency to result in social conditions conducive to greater empathy. This article argues that although Cofnas successfully debunks Huemer’s convergence argument for one influential form of moral realism – Robust (...) Moral Realism, which holds that moral facts are non-natural, stance-independent normative facts – Cofnas’s debunking argument broadly supports a second type of moral realism: Enlightened Self-Interest Realism, the view that moral facts are reducible to stance-dependent requirements of instrumental (‘means-end’) rationality. Finally, this article argues that insofar as different Enlightened Self-Interest Realist theories make specific predictions about the intra- and inter-personal mechanisms behind moral convergence toward liberalism, empirical observations of cross-cultural convergence can provide independent support for Enlightened Self-Interest Realism. I conclude that this is an important mark in favor of Enlightened Self-Interest Realism over Robust Moral Realism. (shrink)

Little is known about the aetiology of philosophical intuitions, in spite of their central role in analytic philosophy. This paper provides a psychological account of the intuitions that underlie philosophical practice, with a focus on intuitions that underlie the method of cases. I argue that many philosophical intuitions originate from spontaneous, early-developing, cognitive processes that also play a role in other cognitive domains. Additionally, they have a skilled, practiced, component. Philosophers are expert elicitors of intuitions in the dialectical context (...) of professional philosophy. If this analysis is correct, this should lead to a reassessment of experimental philosophical studies of expertise. (shrink)

Religious communities often discourage disagreement with religious authorities, on the grounds that allowing it would be epistemically detrimental. I argue that this attitude is mistaken, because any social position in a community—including religious authority—comes with epistemic advantages as well as epistemic limitations. I argue that religious communities stand to benefit epistemically by engaging in disagreement with people occupying other social positions. I focus on those at the community’s margins and argue that religious marginalization is apt to yield religiously important insights; (...) so their disagreement with religious authorities should be encouraged. (shrink)

We provide three innovations to recent debates about whether topological or “network” explanations are a species of mechanistic explanation. First, we more precisely characterize the requirement that all topological explanations are mechanistic explanations and show scientific practice to belie such a requirement. Second, we provide an account that unifies mechanistic and non-mechanistic topological explanations, thereby enriching both the mechanist and autonomist programs by highlighting when and where topological explanations are mechanistic. Third, we defend this view against some powerful mechanist objections. (...) We conclude from this that topological explanations are autonomous from their mechanistic counterparts. (shrink)

Buddhism originated and developed in an Indian cultural context that featured many first-person practices for producing and exploring states of consciousness through the systematic training of attention. In contrast, the dominant methods of investigating the mind in Western cognitive science have emphasized third-person observation of the brain and behavior. In this chapter, we explore how these two different projects might prove mutually beneficial. We lay the groundwork for a cross-cultural cognitive science by using one traditional Buddhist model of the mind (...) – that of the five aggregates – as a lens for examining contemporary cognitive science conceptions of consciousness. (shrink)

Kant's most sustained discussion of obscure representations can be found in the first book of his Anthropology from a Pragmatic Point of View. What is puzzling is that in the middle of the section devoted to the topic, Kant asserts that “because this field can only be perceived in his passive side as a play of sensations, the theory of obscure representations belongs only to physiological anthropology, and so it is properly disregarded here.” So, do obscure representations belong to (...) pragmatic anthropology or not? Kant's official position is that they do not, yet the textual evidence—we find discussions of obscure representations in 20 years of his work on pragmatic anthropology—suggests that they do, in fact, belong here. Most of the literature on obscure representations focuses on their contribution to cognition and none has clarified what it would mean to assume a “pragmatic point of view” on obscure representations, and to study them in the context of pragmatic anthropology. My aim in this paper is to provide such clarification, focusing on Kant's discussion of our propensity to “play with” obscure representations and what he calls our “art of obscuring.”. (shrink)