According to rational pedagogy models, learners take into account the way in which teachers generate evidence, and teachers take into account the way in which learners assimilate that evidence. The authors develop a framework for integrating rational pedagogy into models of active exploration, in which agents can take actions to influence the evidence they gather from the environment. The key idea is that a single agent can be both teacher and learner.

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 enormous scale of the available information and products on the Internet has necessitated the development of algorithms that intermediate between options and human users. These algorithms attempt to provide the user with relevant information. In doing so, the algorithms may incur potential negative consequences stemming from the need to select items about which it is uncertain to obtain information about users versus the need to select items about which it is certain to secure high ratings. This tension is an (...) instance of the exploration–exploitation trade‐off in the context of recommender systems. Because humans are in this interaction loop, the long‐term trade‐off behavior depends on human variability. Our goal is to characterize the trade‐off behavior as a function of human variability fundamental to such human–algorithm interaction. To tackle the characterization, we first introduce a unifying model that smoothly transitions between active learning and recommending relevant information. The unifying model gives us access to a continuum of algorithms along the exploration–exploitation trade‐off. We then present two experiments to measure the trade‐off behavior under two very different levels of human variability. The experimental results inform a thorough simulation study in which we modeled and varied human variability systematically over a wide rage. The main result is that exploration–exploitation trade‐off grows in severity as human variability increases, but there exists a regime of low variability where algorithms balanced in exploration and exploitation can largely overcome the trade‐off. (shrink)

The current COVID-19 pandemic and the previous SARS/MERS outbreaks of 2003 and 2012 have resulted in a series of major global public health crises. We argue that in the interest of developing effective and safe vaccines and drugs and to better understand coronaviruses and associated disease mechenisms it is necessary to integrate the large and exponentially growing body of heterogeneous coronavirus data. Ontologies play an important role in standard-based knowledge and data representation, integration, sharing, and analysis. Accordingly, we initiated the (...) development of the community-based Coronavirus Infectious Disease Ontology in early 2020. -/- As an Open Biomedical Ontology (OBO) library ontology, CIDO is open source and interoperable with other existing OBO ontologies. CIDO is aligned with the Basic Formal Ontology and Viral Infectious Disease Ontology. CIDO has imported terms from over 30 OBO ontologies. For example, CIDO imports all SARS-CoV-2 protein terms from the Protein Ontology, COVID-19-related phenotype terms from the Human Phenotype Ontology, and over 100 COVID-19 terms for vaccines (both authorized and in clinical trial) from the Vaccine Ontology. CIDO systematically represents variants of SARS-CoV-2 viruses and over 300 amino acid substitutions therein, along with over 300 diagnostic kits and methods. CIDO also describes hundreds of host-coronavirus protein-protein interactions (PPIs) and the drugs that target proteins in these PPIs. CIDO has been used to model COVID-19 related phenomena in areas such as epidemiology. The scope of CIDO was evaluated by visual analysis supported by a summarization network method. CIDO has been used in various applications such as term standardization, inference, natural language processing (NLP) and clinical data integration. We have applied the amino acid variant knowledge present in CIDO to analyze differences between SARS-CoV-2 Delta and Omicron variants. CIDO's integrative host-coronavirus PPIs and drug-target knowledge has also been used to support drug repurposing for COVID-19 treatment. -/- CIDO represents entities and relations in the domain of coronavirus diseases with a special focus on COVID-19. It supports shared knowledge representation, data and metadata standardization and integration, and has been used in a range of applications. (shrink)

Ontologies, as the term is used in informatics, are structured vocabularies comprised of human- and computer-interpretable terms and relations that represent entities and relationships. Within informatics fields, ontologies play an important role in knowledge and data standardization, representation, integra- tion, sharing and analysis. They have also become a foundation of artificial intelligence (AI) research. In what follows, we outline the Coronavirus Infectious Disease Ontology (CIDO), which covers multiple areas in the domain of coronavirus diseases, including etiology, transmission, epidemiology, pathogenesis, diagnosis, (...) prevention, and treatment. We emphasize CIDO development relevant to COVID-19. (shrink)

Current COVID-19 pandemic and previous SARS/MERS outbreaks have caused a series of major crises to global public health. We must integrate the large and exponentially growing amount of heterogeneous coronavirus data to better understand coronaviruses and associated disease mechanisms, in the interest of developing effective and safe vaccines and drugs. Ontologies have emerged to play an important role in standard knowledge and data representation, integration, sharing, and analysis. We have initiated the development of the community-based Coronavirus Infectious Disease Ontology (CIDO). (...) As an Open Biomedical Ontology (OBO) library ontology, CIDO is an open source and interoperable with other existing OBO ontologies. In this article, the general architecture and the design patterns of the CIDO are introduced, CIDO representation of coronaviruses, phenotypes, anti-coronavirus drugs and medical devices (e.g. ventilators) are illustrated, and an application of CIDO implemented to identify repurposable drug candidates for effective and safe COVID-19 treatment is presented. (shrink)

We provide empirical examples to conceptually clarify some items on Firestone & Scholl’s (F&S’s) checklist, and to explain perceptual effects from an attentional and memory perspective. We also note that action and embodied cognition studies seem to be most susceptible to misattributing attentional and memory effects as perceptual, and identify four characteristics unique to action studies and possibly responsible for misattributions.

In this chapter, Lee considers contemporary consequentialist theories of punishment. Consequentialist theories look to the consequences of punishment to justify the institution of punishment. Two types of theories fall into this category—teleology and aggregationism. Lee argues that teleology is implausible because it is based on a problematic assumption about the fundamental value of criminal punishment. Aggregationism is a more reasonable alternative. It holds that punishment is morally justified because it is an institution that helps society to aggregate important moral values. (...) Several theories fall into this category, including general deterrence theories, specific deterrence theories, and preventionism. Lee critically evaluates these theories and argues that only one specific deterrence theory, namely, her rights-protection theory, provides the most reasonable consequentialist account of punishment. (shrink)

本书试图将孔子思想中的精华部分嫁接到管理领域,这里所指的管理是宽泛的,管国家,管企业,管家庭,管自身。.

本书是对关于墨辩的先秦墨子后学著作《墨经》六篇的研究,总结墨家逻辑原典和义理研究成果,对墨家逻辑的产生背景、学说体系等进行讨论。.

本书是一部有关学术规范的综合性文集,精心收集了海内外知名学者的相关代表作,全面反映最近十余年来学术界对学术规范这一跨学科性、前沿性话题大讨论的学术思想成果。.

Machine learning algorithms pervade contemporary society. They are integral to social institutions, inform processes of governance, and animate the mundane technologies of daily life. Consistently, the outcomes of machine learning reflect, reproduce, and amplify structural inequalities. The field of fair machine learning has emerged in response, developing mathematical techniques that increase fairness based on anti-classification, classification parity, and calibration standards. In practice, these computational correctives invariably fall short, operating from an algorithmic idealism that does not, and cannot, address systemic, Intersectional (...) stratifications. Taking present fair machine learning methods as our point of departure, we suggest instead the notion and practice of algorithmic reparation. Rooted in theories of Intersectionality, reparative algorithms name, unmask, and undo allocative and representational harms as they materialize in sociotechnical form. We propose algorithmic reparation as a foundation for building, evaluating, adjusting, and when necessary, omitting and eradicating machine learning systems. (shrink)

本书内容涉及刑法属性论,刑事责任基本范畴研究,死刑论,我国对犯罪的惩办与宽大相结合的政策,中国的青少年犯罪和治理对策等方面。.

Offers a renovated form of Confucian liberalism that forges a reconciliation between the two extremes of anti-Confucian liberalism and anti-liberal Confucianism.

本书内容主要包括:李晦斋、曹汉辅“无极太极”的论辩;李退溪与奇高峰“四端七情”之论辩;四端七情之辩与成德之教、曹南冥对四七之辩的批评及论下学而上达等。.

_A wide ranging consideration of the work of contemporary ethicist David Wong._.

In this chapter, I consider contemporary consequentialist theories of punishment. Consequentialist theories of punishment look to the consequences of punishment to justify the institution of punishment. Two types of theories fall into this category—teleology and aggregationism. I argue that teleology is implausible as it is based on a problematic assumption about the fundamental value of criminal punishment, and that aggregationism provides a more reasonable alternative. Aggregationism holds that punishment is morally justified because it is an institution that helps society to (...) aggregate important moral values. Several theories fall into this category, including general deterrence theories, specific deterrence theories, and preventionism. I critically evaluate these theories and argue that only one specific deterrence theory, namely, my rights-protection theory, provides the most reasonable consequentialist account of punishment. (shrink)

本书从法律与人之间的有机互动关系出发,对法律发展的深层历史底蕴及其对人的主体性的终极关怀进行了深入、系统地分析和阐释,指出经济因素是法价值产生的内在根据,而人类理性因素则是法价值产生的必要条件。.

In epistemic logic, the beliefs of an agent are modeled in a way very similar to knowledge, except that they are fallible. Thus, the pattern of an agent’s true beliefs is an interesting subject to study. In this paper, we conduct a systematic study on a novel modal logic with the bundled operator ⊡ϕ:=□ϕ∧ϕ as the only primitive modality, where ⊡ captures the notion of true belief. With the help of a novel notion of ⊡-bisimulation, we characterize the expressivity of (...) this new language on relational models, and offer various completeness results. We also discuss some interesting connections between our work and previous works on reflexive-insensitive logics and the so-called boxdot conjecture. Finally, we study two generalizations of the ⊡-operator: one is the iterated true belief operator □nϕ:=ϕ∧□ϕ∧⋯∧□nϕ, the other is the neighborhood semantics for the ⊡-operator. (shrink)

Conscious visual perception can fail in many circumstances. However, little is known about the causes and processes leading to failures of visual awareness. In this study, we introduce a new signal detection measure termed subjective discriminability of invisibility that allows one to distinguish between subjective blindness due to reduction of sensory signals or to lack of attentional access to sensory signals. The SDI is computed based upon subjective confidence in reporting the absence of a target . Using this new measure, (...) we found that target misses were subjectively indistinguishable from physical absence when contrast reduction, backward masking and flash suppression were used, whereas confidence was appropriately modulated when dual task, attentional blink and spatial uncertainty methods were employed. These results show that failure of visual perception can be identified as either a result of perceptual or attentional blindness depending on the circumstances under which visual awareness was impaired. (shrink)

David Miller argues that national identity is indispensable for the successful functioning of a liberal democracy. National identity makes important contributions to liberal democratic institutions, including creating incentives for the fulfilment of civic duties, facilitating deliberative democracy, and consolidating representative democracy. Thus, a shared identity is indispensable for liberal democracy and grounds a good claim for self-determination. Because Miller’s arguments appeal to the instrumental values of a national culture, I call his argument ‘instrumental value’ arguments. In this paper, I examine (...) the instrumental value arguments and show that they fail to justify a group’s right to self-determination. (shrink)

本书透过数十部原典的资料,对于印度民族,历史和宗教,有简要的介绍,而对各宗各派的哲学思想,则有详尽的分析和讨论.

In _On Human Action and Practical Wisdom_, Yang Guorong offers a description of wisdom and action based on his “concrete metaphysics.” Yang attempts to go beyond the excessively linguistic, logical, and abstract focus found in the American analytic tradition.