Mystical religious experiences typically purport to engage with the transcendent and often claim to involve encounters with spiritual entities or a detachment from the material world. Daoism diverges from this paradigm. This paper examines Daoist mystical experiences of bodily transformations and explores their epistemological implications. Specifically, we defend the justificatory power of Daoist somatic experiences against the disanalogy objection. The disanalogy objection posits that mystical experiences, in contrast to sense perceptions, are not socially verifiable and thereby lack prima facie epistemic (...) value. We argue that some Daoist mystical bodily states, being essentially spatiotemporal, are exempt from this challenge. This leads to a broader understanding of mysticism and offers a partial resolution to the disanalogy objection. (shrink)

Duncan Pritchard recently proposed a Wittgensteinian solution to closure-based skepticism. According to Wittgenstein, all epistemic systems assume certain truths. The notions that we are not disembodied brains, that the Earth has existed for a long time and that one’s name is such-and-such all function as “hinge commitments.” Pritchard views a hinge commitment as a positive propositional attitude that is not a belief. Because closure principles concern only knowledge-apt beliefs, they do not apply to hinge commitments. Thus, from the fact that (...) a subject knows that he is sitting in a room, and the fact that the subject’s sitting in a room entails his bodily existence, it does not follow that the subject also knows that he is not an envatted brain. This paper rejects Pritchard’s non-belief reading of hinge commitments. I start by showing that the non-belief reading fails to solve the skeptical paradox because the reasons that Pritchard uses to support the non-belief reading do not exempt hinge propositions from closure principles. I then proceed to argue that the non-belief reading is false as it claims that hinge commitments, unlike ordinary beliefs, are rationally unresponsive—with the help of a scenario in which a subject’s experience is internally chaotic, we can safely conclude that the hinge commitment that one is not systematically mistaken about the world is equally responsive to one’s evidential situations. (shrink)

The gradation of know-how is a prominent challenge to intellectualism. Know-how is prima facie gradable, whereas know-that is not, so the former is unlikely to be a species of the latter. Recently, Pavese refuted this challenge by explaining the gradation of know-how as concerning either the quantity or the quality of practical answers one knows to a question. Know-how per se remains absolute. This paper argues, however, that in addition to the quantity and quality of practical answers, know-how also differs (...) in how reliably the agent is supposed to fulfil the task given her default constitution. Intellectualism is still troubled by the gradability challenge. (shrink)

Ratio, Volume 34, Issue 4, Page 303-311, December 2021.

Practical knowledge is discussed in close relation to practical expertise. For both anti-intellectualists and intellectualists, the knowledge of how to φ is widely assumed to entail the practical expertise in φ-ing. This paper refutes this assumption. I argue that non-experts can know how to φ via other experts’ knowledge of φ-ing. Know-how can be ‘outsourced’. I defend the outsourceability of know-how, and I refute the objections that reduce outsourced know-how to the knowledge of how to ask for help, of how (...) to get things done, or of external contents. Interestingly, outsourcing differs from social cooperation, collective agency, testimonial transmission, and many other notions in social-epistemological debates. Thus, outsourcing provides not only a hitherto unconsidered form of know-how but also a novel way for knowledge to be social. Furthermore, outsourcing plausibly involves a ‘social’ cognitive extension that does not rest on EMT or HEC. Given the outsourceability of know-how, we must reconsider the nature of know-how and expertise, as well as the relation between non-experts and experts. (shrink)

COVID-19 often manifests with different outcomes in different patients, highlighting the complexity of the host-pathogen interactions involved in manifestations of the disease at the molecular and cellular levels. In this paper, we propose a set of postulates and a framework for systematically understanding complex molecular host-pathogen interaction networks. Specifically, we first propose four host-pathogen interaction (HPI) postulates as the basis for understanding molecular and cellular host-pathogen interactions and their relations to disease outcomes. These four postulates cover the evolutionary dispositions involved (...) in HPIs, the dynamic nature of HPI outcomes, roles that HPI components may occupy leading to such outcomes, and HPI checkpoints that are critical for specific disease outcomes. Based on these postulates, an HPI Postulate and Ontology (HPIPO) framework is proposed to apply interoperable ontologies to systematically model and represent various granular details and knowledge within the scope of the HPI postulates, in a way that will support AI-ready data standardization, sharing, integration, and analysis. As a demonstration, the HPI postulates and the HPIPO framework were applied to study COVID-19 with the Coronavirus Infectious Disease Ontology (CIDO), leading to a novel approach to rational design of drug/vaccine cocktails aimed at interrupting processes occurring at critical host-coronavirus interaction checkpoints. Furthermore, the host-coronavirus protein-protein interactions (PPIs) relevant to COVID-19 were predicted and evaluated based on prior knowledge of curated PPIs and domain-domain interactions, and how such studies can be further explored with the HPI postulates and the HPIPO framework is discussed. (shrink)

The Cartesian thesis that some justifications are infallible faces a gradation puzzle. On the one hand, infallible justification tolerates absolutely no possibility for error. On the other hand, infallible justifications can vary in evidential force: e.g. two persons can both be infallible regarding their pains while the one with stronger pain is nevertheless more justified. However, if a type of justification is gradable in strength, why can it always be absolute? This paper explores the potential of this gradation challenge by (...) rejecting Fumerton's recent ‘semantic decision' solution. On Fumerton's suggestion, the putative gradation of infallible justifications is essentially semantic. It concerns only how we use the relevant term but not how well we perceive the truth. Regardless of its intuitive appeal, Fumerton's solution does not cover all the related situations. There is an irreducibly epistemic sense in which infallible justifications vary in degrees. (shrink)

Both motivational internalism and externalism need to explain why sometimes moral judgments tend to motivate us. In this paper, I argue that Dreier’ second-order desire model cannot be a plausible externalist alternative to explain the connection between moral judgments and motivation. I explain that the relevant second-order desire is merely a constitutive requirement of rationality because that desire makes a set of desires more unified and coherent. As a rational agent with the relevant second-order desire is disposed towards coherence, she (...) will have some motivation to act in accordance with her moral judgments. Dreier’s second-order desire model thus collapses into a form of internalism and cannot be a plausible externalist option to explain the connection between moral judgments and motivation. (shrink)

Neutrosophic set is a new mathematical tool for handling problems involving imprecise, indetermi nacy and inconsistent data. Pseudo-BCI algebra is a kind of non-classical logic algebra in close connection with various non-commutative fuzzy logics. Recently, we applied neutrosophic set theory to pseudo-BCI al gebras. In this paper, we study neutrosophic filters in pseudo-BCI algebras. The concepts of neutrosophic regular filter, neutrosophic closed filter and fuzzy regular filter in pseudo-BCI algebras are introduced, and some basic properties are discussed. Moreover, the relationships (...) among neutrosophic regular filter, fuzzy filters and anti-grouped neutrosophic filters are prese nted, and the results are proved: a neutrosophic filter (fuzzy filter) is a neutrosophic regular filter (fuzzy regular filter), if and only if it is both a neutrosophic closed filter (fuzzy closed filter) and an anti-grouped neutrosophic filter (fuzzy anti-grouped filter). (shrink)

The topics approached in the 52 papers included in this book are: neutrosophic sets; neutrosophic logic; generalized neutrosophic set; neutrosophic rough set; multigranulation neutrosophic rough set (MNRS); neutrosophic cubic sets; triangular fuzzy neutrosophic sets (TFNSs); probabilistic single-valued (interval) neutrosophic hesitant fuzzy set; neutro-homomorphism; neutrosophic computation; quantum computation; neutrosophic association rule; data mining; big data; oracle Turing machines; recursive enumerability; oracle computation; interval number; dependent degree; possibility degree; power aggregation operators; multi-criteria group decision-making (MCGDM); expert set; soft sets; LA-semihypergroups; single valued (...) trapezoidal neutrosophic number; inclusion relation; Q-linguistic neutrosophic variable set; vector similarity measure; fundamental neutro-homomorphism theorem; neutro-isomorphism theorem; quasi neutrosophic triplet loop; quasi neutrosophic triplet group; BE-algebra; cloud model; Maclaurin symmetric mean; pseudo-BCI algebra; hesitant fuzzy set; photovoltaic plan; decision-making trial and evaluation laboratory (DEMATEL); Choquet integral; fuzzy measure; clustering algorithm; and many more. (shrink)

The topics approached in this collection of papers are: neutrosophic sets; neutrosophic logic; generalized neutrosophic set; neutrosophic rough set; multigranulation neutrosophic rough set (MNRS); neutrosophic cubic sets; triangular fuzzy neutrosophic sets (TFNSs); probabilistic single-valued (interval) neutrosophic hesitant fuzzy set; neutro-homomorphism; neutrosophic computation; quantum computation; neutrosophic association rule; data mining; big data; oracle Turing machines; recursive enumerability; oracle computation; interval number; dependent degree; possibility degree; power aggregation operators; multi-criteria group decision-making (MCGDM); expert set; soft sets; LA-semihypergroups; single valued trapezoidal neutrosophic number; (...) inclusion relation; Q-linguistic neutrosophic variable set; vector similarity measure; fundamental neutro-homomorphism theorem; neutro-isomorphism theorem; quasi neutrosophic triplet loop; quasi neutrosophic triplet group; BE-algebra; cloud model; fuzzy measure; clustering algorithm; and many more. (shrink)

In this thesis, I explore motivational internalism and externalism, which concern the relationship between moral judgments and motivation. I first introduce the basic terms and different forms of internalism and externalism, including the externalist objections to internalism based on the famous counterexamples. I then argue against externalism by defending and developing Michael Smith’s fetishism argument. I not only respond to the externalist objections to the fetishism argument but also further argue against different externalist explanations of moral motivation that intend to (...) avoid the fetishism charge. Finally, I re-examine different forms of internalism in order to argue for a new form of internalism that can better preserve our internalist intuitions whilst accommodating the externalist counterexamples. My ultimate conclusion will be that the most plausible form of internalism to accept is constitutional, unconditional, relatively strong, direct internalism that is formulated in terms of dispositional desires. (shrink)

In pedestrian detection, occlusions are typically treated as an unstructured source of noise and explicit models have lagged behind those for object appearance, which will result in degradation of detection performance. In this paper, a hierarchical co-occurrence model is proposed to enhance the semantic representation of a pedestrian. In our proposed hierarchical model, a latent SVM structure is employed to model the spatial co-occurrence relations among the parent–child pairs of nodes as hidden variables for handling the partial occlusions. Moreover, the (...) visibility statuses of the pedestrian can be generated by learning co-occurrence relations from the positive training data with large numbers of synthetically occluded instances. Finally, based on the proposed hierarchical co-occurrence model, a pedestrian detection algorithm is implemented to incorporate visibility statuses by means of a Random Forest ensemble. The experimental results on three public datasets demonstrate the log-average miss rate of the proposed algorithm has 5% improvement for pedestrians with partial occlusions compared with the state-of-the-arts. (shrink)

How the mind works is the ultimate mystery for human beings. To answer this question, one of the most significant insights is Kant’s argument that we can only perceive phenomena but not the essence of the external world. Following this idea, we formulated a novel computational framework to model the mind based on two assumptions: 1) There is no presupposition of the existence of the external objective world and the main task of the mind is to explore, establish and utilize (...) persistent relationships between senses and actions. 2) Symbolic intermediate-level representation is necessary. We call this framework the self-programming system. Based on the self-programming system, we interpreted the nature of concepts, time, space, causality, and consciousness. Besides that, we also draw a conclusion to the mind-body problem. Specifically, the perspective that considers subjective experience as fundamental is compatible with the existence of the external world and that the physical body serves as the substrate of the mind. However, since the relationship is “compatible” rather than “cause”, skepticism can never be ruled out in principle. Furthermore, we have elucidated the nature of interpretation within the context of reductive physicalism. This serves to provide a clear understanding as to why the hard problem of consciousness is inherently unsolvable. (shrink)

In the context of climate change, this study uncovers the role of green airlines’ social responsibility in conjunction with the consumers’ switching behavior while considering the effects of latent variables, including green psychology, airline corporate image, green experimental behavior, green service fairness, green alternative attractiveness and switching intention, were examined in the study.

How the mind works is the ultimate mystery for human beings. This paper proposed a framework to solve it. We call it the self-programming system. The self-programming system can learn, store and apply the functions of bodies, external tools, and even the mind itself uniformly. However, due to the generality of the mind, traditional scientific methods are not suitable for validating a theory of mind. Therefore, we appeal to show the explanatory power of the self-programming system. Due to this reason, (...) we applied this framework to solve the problem of consciousness. By comparing our solution to the popular theories of consciousness, we found that these theories only captured different aspects of our solution to consciousness. Beyond this, our solution also solved the hard problem of consciousness by showing that the existence of objectively unexplainable qualia is a matter of course even in a purely physical world. (shrink)