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  1. added 2020-06-29
    我们的自动无意识行为揭示了我们真实的自我和隐藏的宇宙真相吗?-- 大卫·霍金斯的《权力与力量——人类行为的隐藏决定因素——作者的官方权威版》412p(2012年)(原版1995年)(2019年修订版) (Do our automated unconscious behaviors reveal our real selves and hidden truths about the universe? -- A review of David Hawkins ‘Power vs Force--the hidden determinants of human behavior –author’s official authoritative edition’ 412p(2012)(original edition 1995)).Michael Richard Starks - 2020 - In 欢迎来到地球上的地狱: 婴儿,气候变化,比特币,卡特尔,中国,民主,多样性,养成基因,平等,黑客,人权,伊斯兰教,自由主义,繁荣,网络,混乱。饥饿,疾病,暴力,人工智能,战争. Las Vegas, NV USA: Reality Press. pp. 225-228.
    我已经习惯了奇怪的书和特殊的人,但霍金斯脱颖而出,因为他使用一个简单的技术来测试肌肉张力作为关键,任何种类的陈述的"真相"-即,不只是被测试的人是否相信它,但它是否真的是真的!众所 周知,人们会表现出自动的、无意识的生理和心理反应,就像他们接触到的任何东西——图像、声音、触觉、气味、想法、人。所以,肌肉阅读,找出他们的真实感受是一点也不激进,不像用它作为一个沉思的棍子(更多的肌肉 阅读)做"超自然科学"。 霍金斯描述了在认知负荷增加时使用降低手臂肌肉的张力,从而导致手臂在手指持续压力下下降。他似乎没有意识到,在社会心理学方面,有一个长期而庞大的持续研究,被诸如"隐性认知"、" ;自动性"等短语所指,而他使用"运动学"只是一小部分。除了肌肉张力(不常使用)外,社会心理学家还测量脑电图、电光皮肤反应,以及最常见的言语反应、句子、图像或情况,有时从刺 激后几秒钟到几个月不等。许多,如巴格和韦格纳,认为结果意味着我们是自动机,学习和行动在很大程度上没有意识通过S1(自动化系统1)和许多其他,如基尔斯特罗姆和尚克斯说,这些研究是有缺陷的,我们是S2的生 物(审议系统2)。虽然霍金斯似乎并不知道,就像在高阶思维的描述性心理学的其他领域一样,"自动性"的情况仍然像维特根斯坦描述心理学无菌和贫瘠的原因时一样混乱。在30年代。然而,这本书 是一个容易阅读,一些治疗师和精神教师可能会发现它使用。 那些希望从现代两个系统的观点来看为人类行为建立一个全面的最新框架的人,可以查阅我的书《路德维希的哲学、心理学、Min d和语言的逻辑结构》维特根斯坦和约翰·西尔的《第二部》(2019年)。那些对我更多的作品感兴趣的人可能会看到《会说话的猴子——一个末日星球上的哲学、心理学、科学、宗教和政治——文章和评论2006-20 19年第3次(2019年)和自杀乌托邦幻想21篇世纪4日 (2019) .
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  2. added 2020-06-14
    Выявить ли наше автоматизированное бессознательное поведение на наше настоящее «я» и скрытые истины о Вселенной? -- Обзор " "Сила против силы - скрытые детерминанты человеческого поведения - официальное авторитетное издание автора:” )Power vs Force--the hidden determinants of human behavior) by David Hawkins 412p (2012) (оригинальное издание 1995)(обзор пересмотрен 2019).Michael Richard Starks - 2020 - In ДОБРО ПОЖАЛОВАТЬ В АД НА НАШЕМ МИРЕ : Дети, Изменение климата, Биткойн, Картели, Китай, Демократия, Разнообразие, Диссигеника, Равенство, Хакеры, Права человека, Ислам, Либерализм, Процветание, Сеть, Хаос, Голод, Болезнь, Насилие, Искусственный интелле. Las Vegas, NV USA: Reality Press. pp. 247-250.
    Я очень привык к странным книгам и специальныхлюдей, но Хокинс выделяется из-за его использования простой техники для тестирования мышечного напряжения в качестве ключа к "истине" любого заявления бы то ни было, т.е., не только ли человек проходит тестирование верит, но действительно ли это так! Что хорошо известно, что люди будут показывать автоматические, бессознательные физиологические и психологические реакции на все, что они подвергаются-изображения, звуки, прикосновения, запахи, идеи, люди. Таким образом,, мышечное чтение, чтобы узнать их истинные чувства не является радикальным на всех, (...)
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  3. added 2020-06-08
    우리의 자동화 된 무의식적 행동은 우주에 대한 우리의 실제 자아와 숨겨진 진실을 보여줍니까? - '힘 대 힘-인간 행동의 숨겨진 결정 요인'에 대한 리뷰 (Power vs Force: the hidden determinants of human behavior) David Hawkins 412p (2012) (원래 판 1995) (검토 개정 2019).Michael Richard Starks - 2020 - In 지구상의 지옥에 오신 것을 환영합니다 : 아기, 기후 변화, 비트 코인, 카르텔, 중국, 민주주의, 다양성, 역학, 평등, 해커, 인권, 이슬람, 자유주의, 번영, 웹, 혼돈, 기아, 질병, 폭력, 인공 지능, 전쟁. Las Vegas, NV USA: Reality Press. pp. 270-273.
    나는 이상한 책과 특별한 사람들에, 매우 익숙하지만, 호킨스는 어떤 종류의 진술의 "진실"의 열쇠로 근육 긴장을 테스트하기위한 간단한 기술의 그의 사용으로 인해 눈에 띄는 - 즉, 테스트되는 사람이 그것을 믿는지 여부, 하지만 정말 사실 여부! 잘 알려진 것은 사람들이 이미지, 소리, 터치, 냄새, 아이디어, 사람 등 노출되는 모든 것에 대해 자동적이고 무의식적인 생리학적, 심리적 반응을 보일 것이라는 것입니다. 그래서,, 그들의 진정한 감정을 알아 내기 위해 근육 독서는 전혀 급진적이지 않다, 막대기로 물을 찾는 중 스틱으로 사용하는 달리 (더 많은 근육 독서) "초자연적 (...)
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  4. added 2020-04-30
    Not Rational, But Not Brutely Causal Either: A Response to Fodor on Concept Acquisition.Louise Antony - unknown - Theoria : An International Journal for Theory, History and Fundations of Science 35 (1):45-57.
    Jerry Fodor has argued that concept acquisition cannot be a psychological or “rational-causal” process, but can only be a “brute-causal” process of acquisition. This position generates the “doorknob  DOORKNOB” problem: why are concepts typically acquired on the basis of experience with items in their extensions? I argue that Fodor’s taxonomy of causal processes needs supplementation, and characterize a third type: what I call “intelligible-causal processes.” Armed with this new category I present what I regard as a better response than (...)
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  5. added 2019-12-20
    Rule-Following Practices in a Natural World.Wolfgang Huemer - 2020 - Journal of Transcendental Philosophy 1 (1).
    I address the question of whether naturalism can provide adequate means for the scientific study of rules and rule-following behavior. As the term "naturalism" is used in many different ways in the contemporary debate, I will first spell out which version of naturalism I am targeting. Then I will recall a classical argument against naturalism in a version presented by Husserl. In the main part of the paper I will sketch a conception of rule-following behavior that is influenced by Sellars (...)
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  6. added 2019-10-14
    How Much of Commonsense and Legal Reasoning is Formalizable? A Review of Conceptual Obstacles.James Franklin - 2012 - Law, Probability and Risk 11:225-245.
    Fifty years of effort in artificial intelligence (AI) and the formalization of legal reasoning have produced both successes and failures. Considerable success in organizing and displaying evidence and its interrelationships has been accompanied by failure to achieve the original ambition of AI as applied to law: fully automated legal decision-making. The obstacles to formalizing legal reasoning have proved to be the same ones that make the formalization of commonsense reasoning so difficult, and are most evident where legal reasoning has to (...)
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  7. added 2018-09-06
    Semantics and the Computational Paradigm in Cognitive Psychology.Eric Dietrich - 1989 - Synthese 79 (1):119-141.
    There is a prevalent notion among cognitive scientists and philosophers of mind that computers are merely formal symbol manipulators, performing the actions they do solely on the basis of the syntactic properties of the symbols they manipulate. This view of computers has allowed some philosophers to divorce semantics from computational explanations. Semantic content, then, becomes something one adds to computational explanations to get psychological explanations. Other philosophers, such as Stephen Stich, have taken a stronger view, advocating doing away with semantics (...)
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  8. added 2018-03-04
    The Role of Imagination in Social Scientific Discovery: Why Machine Discoverers Will Need Imagination Algorithms.Michael Stuart - 2019 - In Mark Addis, Fernand Gobet & Peter Sozou (eds.), Scientific Discovery in the Social Sciences. Springer Verlag.
    When philosophers discuss the possibility of machines making scientific discoveries, they typically focus on discoveries in physics, biology, chemistry and mathematics. Observing the rapid increase of computer-use in science, however, it becomes natural to ask whether there are any scientific domains out of reach for machine discovery. For example, could machines also make discoveries in qualitative social science? Is there something about humans that makes us uniquely suited to studying humans? Is there something about machines that would bar them from (...)
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  9. added 2017-08-30
    Inferential Transitions.Jake Quilty-Dunn & Eric Mandelbaum - 2018 - Australasian Journal of Philosophy 96 (3):532-547.
    ABSTRACTThis paper provides a naturalistic account of inference. We posit that the core of inference is constituted by bare inferential transitions, transitions between discursive mental representations guided by rules built into the architecture of cognitive systems. In further developing the concept of BITs, we provide an account of what Boghossian [2014] calls ‘taking’—that is, the appreciation of the rule that guides an inferential transition. We argue that BITs are sufficient for implicit taking, and then, to analyse explicit taking, we posit (...)
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  10. added 2016-12-05
    Attitude, Inference, Association: On the Propositional Structure of Implicit Bias.Eric Mandelbaum - 2016 - Noûs 50 (3):629-658.
    The overwhelming majority of those who theorize about implicit biases posit that these biases are caused by some sort of association. However, what exactly this claim amounts to is rarely specified. In this paper, I distinguish between different understandings of association, and I argue that the crucial senses of association for elucidating implicit bias are the cognitive structure and mental process senses. A hypothesis is subsequently derived: if associations really underpin implicit biases, then implicit biases should be modulated by counterconditioning (...)
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  11. added 2016-09-23
    Dual PECCS: A Cognitive System for Conceptual Representation and Categorization.Antonio Lieto, Daniele Radicioni & Valentina Rho - 2017 - Journal of Experimental and Theoretical Artificial Intelligence 29 (2):433-452.
    In this article we present an advanced version of Dual-PECCS, a cognitively-inspired knowledge representation and reasoning system aimed at extending the capabilities of artificial systems in conceptual categorization tasks. It combines different sorts of common-sense categorization (prototypical and exemplars-based categorization) with standard monotonic categorization procedures. These different types of inferential procedures are reconciled according to the tenets coming from the dual process theory of reasoning. On the other hand, from a representational perspective, the system relies on the hypothesis of conceptual (...)
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  12. added 2016-03-15
    Structures and Procedures.William M. Goodman - 1985 - Philosophy Research Archives 11:551-578.
    This paper takes up the challenge which Carnap poses in his Aufbau: to make of it a basis for continued epistemological research. I try to close some gaps in Carnap’s original presentation and to make at least the first few steps of his constructional outline more accessible to the modern reader. Particularly emphasized is Carnap’s implicit recognition that, to be effective, “structural” models of epistemology (using logical symbols) must be complemented with “procedural” models (his “fictitious operations”). The paper shows how (...)
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  13. added 2016-01-06
    A Framework for the First‑Person Internal Sensation of Visual Perception in Mammals and a Comparable Circuitry for Olfactory Perception in Drosophila.Kunjumon Vadakkan - 2015 - Springerplus 4 (833):1-23.
    Perception is a first-person internal sensation induced within the nervous system at the time of arrival of sensory stimuli from objects in the environment. Lack of access to the first-person properties has limited viewing perception as an emergent property and it is currently being studied using third-person observed findings from various levels. One feasible approach to understand its mechanism is to build a hypothesis for the specific conditions and required circuit features of the nodal points where the mechanistic operation of (...)
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  14. added 2015-11-26
    Some Epistemological Problems with the Knowledge Level in Cognitive Architectures.Antonio Lieto - 2015 - In Proceedings of AISC 2015, 12th Italian Conference on Cognitive Science, Genoa, 10-12 December 2015, Italy. NeaScience.
    This article addresses an open problem in the area of cognitive systems and architectures: namely the problem of handling (in terms of processing and reasoning capabilities) complex knowledge structures that can be at least plausibly comparable, both in terms of size and of typology of the encoded information, to the knowledge that humans process daily for executing everyday activities. Handling a huge amount of knowledge, and selectively retrieve it according to the needs emerging in different situational scenarios, is an important (...)
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  15. added 2014-10-25
    A Computational Framework for Concept Representation in Cognitive Systems and Architectures: Concepts as Heterogeneous Proxytypes.Antonio Lieto - 2014 - Proceedings of 5th International Conference on Biologically Inspired Cognitive Architectures, Boston, MIT, Pocedia Computer Science, Elsevier:1-9.
    In this paper a possible general framework for the representation of concepts in cognitive artificial systems and cognitive architectures is proposed. The framework is inspired by the so called proxytype theory of concepts and combines it with the heterogeneity approach to concept representations, according to which concepts do not constitute a unitary phenomenon. The contribution of the paper is twofold: on one hand, it aims at providing a novel theoretical hypothesis for the debate about concepts in cognitive sciences by providing (...)
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  16. added 2014-04-24
    Epistemic Evaluability and Perceptual Farce.Susanna Siegel - 2015 - In A. Raftopoulos (ed.), Cognitive Effects on Perception: New Philosophical Perspectives. Oxford University Press.
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  17. added 2013-09-09
    Implicit and Explicit Representation.David Kirsh - 2003 - Encyclopedia of Cognitive Science 2:478–481.
    The degree to which information is encoded explicitly in a representation is related to the computational cost of recovering or using the information. Knowledge that is implicit in a system need not be represented at all, even implicitly, if the cost of recurring it is prohibitive.
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  18. added 2013-08-25
    Nonconscious Processing and a Novel Target for Schizophrenia Research.Rajendra Badgaiyan - 2012 - Open Journal of Psychiatry 2:335-339.
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  19. added 2012-01-06
    Analogical Cognition: Applications in Epistemology and the Philosophy of Mind and Language.Theodore Bach - 2012 - Philosophy Compass 7 (5):348-360.
    Analogical cognition refers to the ability to detect, process, and learn from relational similarities. The study of analogical and similarity cognition is widely considered one of the ‘success stories’ of cognitive science, exhibiting convergence across many disciplines on foundational questions. Given the centrality of analogy to mind and knowledge, it would benefit philosophers investigating topics in epistemology and the philosophies of mind and language to become familiar with empirical models of analogical cognition. The goal of this essay is to describe (...)
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  20. added 2011-11-28
    Basic Semantic Integration.Christopher Menzel - 2004 - Semantic Interoperability and Integration, Proceedings of Dagstuhl Seminar 04391.
    The use of highly abstract mathematical frameworks is essential for building the sort of theoretical foundation for semantic integration needed to bring it to the level of a genuine engineering discipline. At the same time, much of the work that has been done by means of these frameworks assumes a certain amount of background knowledge in mathematics that a lot of people working in ontology, even at a fairly high theoretical level, lack. The major purpose of this short paper is (...)
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  21. added 2010-03-25
    Collaborative Creation of Teaching-Learning Sequences and an Atlas of Knowledge.Nagarjuna G. - 2009 - Mathematics Teaching-Research Journal Online 3 (N3):23-40.
    Our focus in the article is to introduce a simple methodology of generating teaching-learning sequences using the semantic network techinque, followed by the emergent properties of such a network and their implications for the teaching-learning process (didactics) with marginal notes on epistemological implications. A collaborative portal for teachers, which publishes a network of prerequisites for teaching/learning any concept or an activity is introduced. The article ends with an appeal to the global community to contribute prerequisites of any subject to complete (...)
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  22. added 2008-12-31
    The Body and the Brain.John Sutton - 2000 - In S. Gaukroger, J. Schuster & J. Sutton (eds.), Descartes' Natural Philosophy. Routledge. pp. 697--722.
    Does self?knowledge help? A rationalist, presumably, thinks that it does: both that self?knowledge is possible and that, if gained through appropriate channels, it is desirable. Descartes notoriously claimed that, with appropriate methods of enquiry, each of his readers could become an expert on herself or himself. As well as the direct, first?person knowledge of self to which we are led in the Meditationes , we can also seek knowledge of our own bodies, and of the union of our minds and (...)
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  23. added 2008-12-31
    When is Information Explicitly Represented?David Kirsh - 1990 - In Philip P. Hanson (ed.), Information, Language and Cognition. University of British Columbia Press.
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  24. added 2008-12-31
    Inexplicit Information.Robert C. Cummins - 1986 - In Myles Brand & Robert M. Harnish (eds.), The Representation of Knowledge and Belief. University of Arizona Press.
    A discussion of a number of ways that information can be present in a computer program without being explicitly represented.
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