Bibliografías temáticas / Knowledge and causality

Literatura académica sobre el tema "Knowledge and causality"

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Publicado: 18 de mayo de 2024

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Artículos de revistas sobre el tema "Knowledge and causality"

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Casullo, Albert. "Causality, Reliabilism, and Mathematical Knowledge". Philosophy and Phenomenological Research 52, n.º 3 (septiembre de 1992): 557. http://dx.doi.org/10.2307/2108208.

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KAYA, Emrah. "İbn Haldûn’un Nedensellik ve Rasyonel Bilgi Düşüncesine Eleştirel Bir Yaklaşım". ULUM 3, n.º 2 (31 de diciembre de 2020): 241–61. http://dx.doi.org/10.54659/ulum.798914.

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The purpose of this study is to critically approach the thoughts of causality and rational knowledge in Ibn Khaldūn, who is one of the greatest names of Islamic philosophy. Ibn Khaldūn, who is a tremendously competent sociologist, historian, and politician, constituted his work entitled Muqaddima in a way exhibiting the science of ʿumrān. One of the fundamentals of science undoubtedly is the theory of causality. We see that Ibn Khaldūn, who construed everything in the universe in the light of the causality, does not use the same theory when miracles and supernatural events are in question. This differentiation basing on the distinction of the human intellect and divine revelation has not eliminated any contradiction coming out in the context of the causality. Another matter we examine in this study is the critique of Ibn Khaldūn about rational knowledge against philosophers. According to him, it is not a correct method reaching the universals with abstractions made from the particulars. It is because such universals have not been compatible with the facts. Ibn Khaldūn criticizes the philosophers in the context of metaphysical knowledge. But, if we consider the science of ʿumrān to be a kind of metaphysics, we might say that his method contains some contradictions.
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Bénichou, Christian. "Medical Knowledge: The Essential of Causality Assessment". Drug Information Journal 29, n.º 1 (enero de 1995): 315–18. http://dx.doi.org/10.1177/009286159502900136.

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Pechsiri, Chaveevan y Asanee Kawtrakul. "Mining Causality for Explanation Knowledge from Text". Journal of Computer Science and Technology 22, n.º 6 (noviembre de 2007): 877–89. http://dx.doi.org/10.1007/s11390-007-9093-8.

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Wu, Sifan, Ruihui Zhao, Yefeng Zheng, Jian Pei y Bang Liu. "Identify Event Causality with Knowledge and Analogy". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 11 (26 de junio de 2023): 13745–53. http://dx.doi.org/10.1609/aaai.v37i11.26610.

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Event causality identification (ECI) aims to identify the causal relationship between events, which plays a crucial role in deep text understanding. Due to the diversity of real-world causality events and difficulty in obtaining sufficient training data, existing ECI approaches have poor generalizability and struggle to identify the relation between seldom seen events. In this paper, we propose to utilize both external knowledge and internal analogy to improve ECI. On the one hand, we utilize a commonsense knowledge graph called ConceptNet to enrich the description of an event sample and reveal the commonalities or associations between different events. On the other hand, we retrieve similar events as analogy exam- ples and glean useful experiences from such analogous neigh- bors to better identify the relationship between a new event pair. By better understanding different events through exter- nal knowledge and making an analogy with similar events, we can alleviate the data sparsity issue and improve model gener- alizability. Extensive evaluations on two benchmark datasets show that our model outperforms other baseline methods by around 18% on the F1-value on average
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Herrero, J. C. y J. Mira. "Causality levels in SCHEMA: A knowledge edition interface". IEE Proceedings - Software 147, n.º 5 (2000): 193. http://dx.doi.org/10.1049/ip-sen:20000900.

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Canali, Stefano. "Big Data, epistemology and causality: Knowledge in and knowledge out in EXPOsOMICS". Big Data & Society 3, n.º 2 (22 de septiembre de 2016): 205395171666953. http://dx.doi.org/10.1177/2053951716669530.

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Usó-Domenech, Jose-Luis, Josué Antonio Nescolarde-Selva y Miguel Lloret-Climent. "Causality in complex systems". Kybernetes 46, n.º 4 (3 de abril de 2017): 590–602. http://dx.doi.org/10.1108/k-08-2016-0195.

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Purpose The purpose of this paper is the study of the causal relationship. The concept called “naive” causality can be stated more generally as the belief (or knowledge) that results follow actions, and that these results are not random, but are consistently linked with causes. The authors have thus formed a very general and precarious concept of causality, but one that appropriately reflects the meaning of causality at the level of common sense. Design/methodology/approach Mathematical and logical development of the causality in complex systems. Findings There are three aspects of rationality that give the human mind a unique vision of reality: quantification: reduction of phenomena to quantitative terms; cause and effect: causal relationship, which allows predicting; and the necessary and valid use of (deterministic) mechanical models. This work is dedicated to the second aspect, that of causality, but at present leaves aside the discussion of possibility-necessity, proposing a modification to philosophical synthesis of causality specified by Bunge (1959), with contributions made by Patten et al. (1976) and LeShan and Margenau (1982). Originality/value Causality is an epistemological category, because it concerns the experience and knowledge of the human subject, without being necessarily a property of reality.
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Niu, Guanglin y Bo Li. "Logic and Commonsense-Guided Temporal Knowledge Graph Completion". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 4 (26 de junio de 2023): 4569–77. http://dx.doi.org/10.1609/aaai.v37i4.25579.

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A temporal knowledge graph (TKG) stores the events derived from the data involving time. Predicting events is extremely challenging due to the time-sensitive property of events. Besides, the previous TKG completion (TKGC) approaches cannot represent both the timeliness and the causality properties of events, simultaneously. To address these challenges, we propose a Logic and Commonsense-Guided Embedding model (LCGE) to jointly learn the time-sensitive representation involving timeliness and causality of events, together with the time-independent representation of events from the perspective of commonsense. Specifically, we design a temporal rule learning algorithm to construct a rule-guided predicate embedding regularization strategy for learning the causality among events. Furthermore, we could accurately evaluate the plausibility of events via auxiliary commonsense knowledge. The experimental results of TKGC task illustrate the significant performance improvements of our model compared with the existing approaches. More interestingly, our model is able to provide the explainability of the predicted results in the view of causal inference. The appendix, source code and datasets of this paper are available at https://github.com/ngl567/LCGE.
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Stearns, Justin. "“All Beneficial Knowledge is Revealed”:". islamic law and society 21, n.º 1-2 (30 de enero de 2014): 49–80. http://dx.doi.org/10.1163/15685195-02112p02.

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The intellectual history of the Muslim world during the post-formative period is poorly understood compared to the centuries in which the initial development of the principal Islamic intellectual traditions occurred. This article examines the legal status of the natural sciences in the thought of the Moroccan scholar al-Ḥasan al-Yūsī (d. 1102/1691) and his contemporaries, both in terms of the categorization of knowledge and in terms of developments in conceptions of causality in post-formative Ashʿarī theology. In the latter respect, al-Yūsī’s writings on causality are compared to those of his contemporary in Damascus, ʿAbd al-Ghanī al-Nābulusī, with attention to the broader historiographic perils in comparing intellectual developments in the Early Modern period to those occurring in Europe. By placing al-Yūsī’s views in intellectual context, I seek to demonstrate how a more productive history of the natural sciences in the post-formative Muslim world might be written.
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Tesis sobre el tema "Knowledge and causality"

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Arnoldi, Jakob. "Uncertain knowledge". Thesis, Goldsmiths College (University of London), 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.270396.

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Roy, Sukumar Chandra. "Knowledge and causality : a critical analysis". Thesis, University of North Bengal, 2007. http://hdl.handle.net/123456789/62.

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Deluca, Paolo. "Children's understanding the inside of the body, illness and death". Thesis, Lancaster University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.369463.

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Airulla, Barbara. "The benefits of Arts Education: an investigation of causality and individual perceptions". The Ohio State University, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=osu1085587568.

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Sivaramakrishnan, Malathi. "Reasoning about causality and treatment of childhood nutritional deficiencies in rural India : role of indigenous knowledge and practices". Thesis, McGill University, 1991. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=70231.

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This study examines the relative influence of traditional and biomedical theories of health and disease on the reasoning about childhood nutritional problems by mothers in rural South India. Mothers with different levels of schooling, traditional practitioners, and medical experts were interviewed. Their explanations of nutritional problems were verbally recorded and analysed using methods of cognitive analyses.
Nutritional concepts and their interpretations given in the mothers' explanations matched that of the traditional theory of Siddha medicine, prevalent in South India. With an increase in formal education, there was an increase in the use of concepts derived from modern biomedical theory. However, the mothers exhibited little understanding of the underlying mechanisms involved. Implications of these findings for designing nutrition and health education are discussed, in relation to knowledge reorganization to replace harmful concepts and relations with beneficial ones.
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Ma, Yunpu [Verfasser] y Volker [Akademischer Betreuer] Tresp. "Learning with relational knowledge in the context of cognition, quantum computing, and causality / Yunpu Ma ; Betreuer: Volker Tresp". München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2020. http://d-nb.info/1219852333/34.

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Titi, Neziswa V. V. "Children’s perceptions of the causation and prevention of childhood burn injuries". Thesis, UWC, 2011. http://hdl.handle.net/11394/3076.

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Magister Psychologiae - MPsych
South Africa has a high rate of children’s burn injuries with 1300 deaths annually. These burn injuries are considered preventable and South African research has identified this as a priority concern. South African childhood burn injury studies have mainly focused on expert and parents’/caregivers’ descriptions and accounts. Despite their particular vulnerability, children’s perspectives have not been consistently accommodated in the identification of childhood injury risk phenomena or in the development and implementation of safety interventions. Using a qualitative approach this study investigates children’s perceptions of causation and prevention of burn injuries. Study data was collected from Khayelitsha, Site C and Philippi, Samora Machel in Cape Town as these areas have reported elevated rates of thermal and fire-related burn injuries. Study data were collected using three isiXhosa focus group discussions based on a convenience sample of 10 – 11 years old children ranging between 4 – 6 participants per group. They were selected based on verbal ability, age, residential area and ability to speak either English or isiXhosa. Thematic analysis was used to analyse the results. The themes demonstrate that children appreciate the magnitude of burns in their communities and attribute the problem to factors ranging from themselves, their social conditions and mostly their parents/caregivers. The children emphasized the importance of parental supervision and risk avoidance by the child and adults in prevention. This study recommends an integrated approach to burn injury prevention interventions and calls for the inclusion of children in studies concerning the wellbeing and safety of children.
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Matava, Robert Joseph. "Divine causality and human free choice : Domingo Báñez and the Controversy de Auxiliis". Thesis, University of St Andrews, 2010. http://hdl.handle.net/10023/989.

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This dissertation considers the mystery of the relationship between human free choice and God by focusing on the Controversy de Auxiliis (1582-1607) and the thought of Domingo Báñez, O.P. (1528-1604) in particular. The dissertation comprises four chapters and a conclusion preceded by a preface and brief historical introduction. The preface introduces the issue to be explored and the motivations for exploring it before providing a general synopsis of the dissertation that is more detailed than the present abstract. The historical summary that follows introduces a theological debate that has become widely unfamiliar to contemporary theology, even while conceptually, that debate remains perennial. The four-chapter body that follows may be divided into two general parts: Broadly, chapters One and Two exposit Báñez’s thought, while chapters Three and Four critique it. Chapter One explores Báñez’s positive account of physical premotion, human freedom and sin. Chapter Two examines Báñez’s critique of Luis de Molina S.J.’s alternative proposal, in conjunction with some contemporary sources from both sides of the debate (Molina was Báñez’s principal adversary in the Controversy de Auxiliis). Báñez’s line of critique in Chapter Two is found to be cogent. Chapter Three investigates Molina’s critique of Báñez and finds it too to be cogent, even though Molina’s positive account was found to be problematic in Chapter Two. Chapter Four begins by exploring Bernard Lonergan S.J.’s work on divine causality and human free choice. Lonergan attempts to provide a fresh historical reading of Aquinas that is unencumbered by the presuppositions of the Controversy de Auxiliis. The first part of Chapter Four explains Lonergan’s critique of Báñez and finds it convincing, while the second part of the chapter finds Lonergan’s interpretation of Aquinas problematic from a theoretical standpoint. Chapter Four then offers a constructive critique of Lonergan’s interpretation before advancing an alternative way to think about God’s causation of human free choices. In closing, this dissertation argues that God creates human free choices, but that in creating a human free choice, God, or God’s creative will, is not an antecedent condition that determines choice. Rather, God creates the entire reality of a human free choice—both what it is and that it is—and in so doing, part of the reality God creates just is that choice’s being up to its human agent.
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Talucci, Sam. "Leadership development as reflexive practice". Thesis, University of Hertfordshire, 2012. http://hdl.handle.net/2299/8966.

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This thesis examines Leadership Development in both a corporate setting and an expedition-based setting. The assumptions that are the foundations of current Leadership Development originate, and are informed by, aspects of the natural sciences. These methods are critiqued in terms of usability and applicability in the context of human relating. An alternative approach is investigated based on nonlinear causality and the complex responsive process of relating using the work of Stacey (2003, 2007, 2010), Stacey and Griffin (2005), Stacey et al. (2000). What is explored is the Leader as expert and the ability through communication, decision making, and planning to create certainty. What is problematized is the fantasy that this creates in ongoing day-to-day interactions. The work explores interactions between a leadership consultant/coach and clients in varied domains: the role of the practitioner in the delivery and creation of theory, models, best practices and standard operating procedures; and the reflections of both the practitioner and clients that what is emerging cannot be foreseen. This leads to a further exploration cycle of the human experience in organizations and how reification, the uncanny, and the struggle for recognition might offer other ways of making sense of the experience. The work examines the role of the consultant/teacher and the client/student and the emergence of knowledge. It further investigates the relationship of time and causality and how this is connected to theoretical knowledge and knowledge in action. This leads to a further connection of thinking, reflecting and reflexivity and what this means as practice for leadership development. Using the context of leadership coaching for management teams and connecting the reflexive aspect of knowledge, what is argued is that sensemaking as developed by Weick (1995, 2001, 2009), Weick and Sutcliffe (2007) is not a sufficient practice to explain and create best practices, standard operating procedures, models, and theories. What is also necessary, and is identified as sensemaking and connected to Elias (1987) work, is our own involvement and detachment as we abstract to understand what is happening in the moment between human agents. It is argued that paying attention to these aspects of ongoing human relating offer the possibility of thicker and a more contextualized understanding of the emergent unpredictable outcomes that leaders deal with every day.
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Lacroix, Daniel. "Comment évoluent chez les élèves de CE2 les notions d'ombre et de lumière ?" Grenoble 1, 1996. http://www.theses.fr/1996GRE10088.

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Cette these decrit l'evolution des connaissances des eleves de 6 a 11 ans concernant l'ombre et la lumiere provoquee par un enseignement relatif aux ombres. L'action pedagogique a pour but de favoriser la recherche par des eleves, d'une explication causale commune a deux phenomenes, celui des ombres et celui des taches lumineuses, phenomenes qui donnent lieu initialement a deux explications distinctes. Comme le cadre theorique le laissait prevoir, les contraintes: proprietes degagees des situations observees, connaissances utilisees dans des champs proches, principes qui constituent le systeme explicatif de l'eleves: phenomenes primitifs, causalites, principe mythique de selection des proprietes du champ exprimental, permettent d'interpreter les reponses des eleves, les histoires qu'ils construisent en reponse a la demande d'explication de l'adulte. Nous avons verifie que ces contraintes guident egalement l'acquisition des connaissances de l'eleve. Les resultats montrent aussi que l'action pedagogique entraine l'usage croissant de la causalite efficiente et un accroissement de la reification de l'ombre. Les deux contraintes: reification et causalite efficiente, ne sont donc pas independantes l'une de l'autre. Les resultats montrent enfin que la mise en relation du champ des ombres et de celui des eclairements est laborieuses
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Libros sobre el tema "Knowledge and causality"

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Bertossi, Leopoldo y Guohui Xiao, eds. Reasoning Web. Causality, Explanations and Declarative Knowledge. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-31414-8.

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Laudisa, Federico. La causalità. 2a ed. Roma: Carocci, 2010.

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Laudisa, Federico. Causalità: Storia di un modello di conoscenza. Roma: Carocci, 1999.

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Gorshkova, Natal'ya, Tat'yana Zezyulina, Sergey Pichugin, Il'ya Tarakanov, Aleksey Mihaylov, Ivan Pikin y Gennadiy Gorshenkov. Criminology: General and Special parts. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1899602.

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In the textbook, within the framework of the General part of Criminology, the main modern scientific views on crime, the identity of the criminal, the determinants of crime in Russia, the crime prevention system are revealed. Within the framework of a Special part of criminology, the fundamental knowledge about crime, its causality and counteraction measures are differentiated and specified in priority areas corresponding to a particular type of crime. The organizational foundations of the prevention of certain types of crime are outlined, the features, forms, methods and means of preventive action are revealed. Meets the requirements of the federal state educational standards of higher education of the latest generation. For students, postgraduates, teachers of law schools, practitioners of law enforcement agencies, as well as anyone interested in crime prevention issues.
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service), SpringerLink (Online, ed. Epistemology and Probability: Bohr, Heisenberg, Schrödinger, and the Nature of Quantum-Theoretical Thinking. New York, NY: Springer-Verlag New York, 2010.

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Critical realism, post-positivism, and the possibility of knowledge. London: Routledge, 2004.

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Kant, Immanuel. Critique of pure reason. London: Dent, 1991.

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Kant, Immanuel. Critique de la raison pure. Paris: Bordas, 1988.

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Kant, Immanuel. Kritika sposobnosti suzhdenii︠a︡. Moskva: Iskusstvo, 1994.

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Causation and universals. London: Routledge, 1990.

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Capítulos de libros sobre el tema "Knowledge and causality"

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Mohammad, Yasser y Toyoaki Nishida. "Causality Analysis". En Advanced Information and Knowledge Processing, 149–67. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25232-2_5.

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Cheyne, Colin. "Platonism and Causality". En Knowledge, Cause, and Abstract Objects, 1–10. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-015-9747-0_1.

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Cheyne, Colin. "Existence Claims and Causality". En Knowledge, Cause, and Abstract Objects, 94–122. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-015-9747-0_7.

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Hewitson, Mark. "Theories of Action and the Archaeology of Knowledge". En History and Causality, 180–216. London: Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137372406_7.

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Behzadi, Sahar, Kateřina Hlaváčková-Schindler y Claudia Plant. "Granger Causality for Heterogeneous Processes". En Advances in Knowledge Discovery and Data Mining, 463–75. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16142-2_36.

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Borgoni, Riccardo, Donata Marasini y Piero Quatto. "Control Sample, Association and Causality". En Studies in Classification, Data Analysis, and Knowledge Organization, 517–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-11363-5_58.

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Marwala, Tshilidzi. "Correlations Versus Causality Approaches to Economic Modeling". En Advanced Information and Knowledge Processing, 137–54. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5010-7_8.

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Boukhris, Imen, Salem Benferhat y Zied Elouedi. "Ascribing Causality from Interventional Belief Function Knowledge". En Advances in Intelligent and Soft Computing, 229–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29461-7_27.

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Yang, Fan, Ping Duan, Sirish L. Shah y Tongwen Chen. "Capturing Connectivity and Causality from Process Knowledge". En Capturing Connectivity and Causality in Complex Industrial Processes, 23–39. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05380-6_4.

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Peoples, Katarzyna y Adam Drozdek. "Inborn Knowledge of Space, Causality, and Number". En Using the Socratic Method in Counseling, 49–73. 1 Edition. | New York : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315202464-4.

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Actas de conferencias sobre el tema "Knowledge and causality"

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Pivoev, Vasiliy M. "CAUSALITY AND MOTIVATION IN SOCIAL KNOWLEDGE". En Problems of sociocultural evolution of Russia and its regions. Tula State Lev Tolstoy Pedagogical University, 2018. http://dx.doi.org/10.22405/978-5-6041453-4-0-2018-386-393.

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Dasgupta, Tirthankar, Manjira Sinha y Abir Naskar. "Knowledge Induced Transformer Network for Causality Prediction". En WWW '24: The ACM Web Conference 2024. New York, NY, USA: ACM, 2024. http://dx.doi.org/10.1145/3589335.3651531.

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Fay, Damien, Gautam S. Thakur, Pan Hui y Ahmed Helmy. "Knowledge Discovery and Causality in Urban City Traffic". En the Sixth ACM SIGSPATIAL International Workshop. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2533828.2533836.

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Yang, Dandan, Huanhuan Chen, Yinlong Song y Zhichen Gong. "Granger Causality for Multivariate Time Series Classification". En 2017 IEEE International Conference on Big Knowledge (ICBK). IEEE, 2017. http://dx.doi.org/10.1109/icbk.2017.36.

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Wajnberg, Mickael, Petko Valtchev, Mario Lezoche, Hervé Panetto y Alexandre Blondin Massé. "Mining Process Factor Causality Links with Multi-relational Associations". En K-CAP '19: Knowledge Capture Conference. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3360901.3364446.

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Yuan, Siyu, Deqing Yang, Jinxi Liu, Shuyu Tian, Jiaqing Liang, Yanghua Xiao y Rui Xie. "Causality-aware Concept Extraction based on Knowledge-guided Prompting". En Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Stroudsburg, PA, USA: Association for Computational Linguistics, 2023. http://dx.doi.org/10.18653/v1/2023.acl-long.514.

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Liu, Jian, Yubo Chen y Jun Zhao. "Knowledge Enhanced Event Causality Identification with Mention Masking Generalizations". En Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/499.

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Identifying causal relations of events is a crucial language understanding task. Despite many efforts for this task, existing methods lack the ability to adopt background knowledge, and they typically generalize poorly to new, previously unseen data. In this paper, we present a new method for event causality identification, aiming to address limitations of previous methods. On the one hand, our model can leverage external knowledge for reasoning, which can greatly enrich the representation of events; On the other hand, our model can mine event-agnostic, context-specific patterns, via a mechanism called event mention masking generalization, which can greatly enhance the ability of our model to handle new, previously unseen cases. In experiments, we evaluate our model on three benchmark datasets and show our model outperforms previous methods by a significant margin. Moreover, we perform 1) cross-topic adaptation, 2) exploiting unseen predicates, and 3) cross-task adaptation to evaluate the generalization ability of our model. Experimental results show that our model demonstrates a definite advantage over previous methods.
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Wu, Chenwang, Xiting Wang, Defu Lian, Xing Xie y Enhong Chen. "A Causality Inspired Framework for Model Interpretation". En KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3580305.3599240.

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Zhang, Zhongzhao y Yanzhong Dang. "Complicated Causality Discovering and Presenting Based on Enterprise Knowledge Management". En 2019 IEEE 19th International Conference on Software Quality, Reliability and Security Companion (QRS-C). IEEE, 2019. http://dx.doi.org/10.1109/qrs-c.2019.00065.

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Yao, Shun, Shinjae Yoo y Dantong Yu. "Prior Knowledge Driven Causality Analysis in Gene Regulatory Network Discovery". En 2013 IEEE 13th International Conference on Data Mining Workshops (ICDMW). IEEE, 2013. http://dx.doi.org/10.1109/icdmw.2013.107.

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Informes sobre el tema "Knowledge and causality"

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strauss, Bernhard, Samuel Short y Pantea Lotfian. The Evolution of personalised nutrition. Food Standards Agency, marzo de 2023. http://dx.doi.org/10.46756/sci.fsa.ean605.

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Health and wellbeing and susceptibility to disease are causally linked to food and nutrition intake, an observation that has informed dietary advice for centuries. However, physiological response to different food types varies greatly by individual, meaning that a “one size fits all” approach to nutritional advice may be inadequate to ensure optimum health outcomes. Personalised nutrition (PN) services, operating at the intersection between health advisory, the wellness sector, and the food system, seek to address this through individualised targeted dietary advice focused on achieving lasting dietary behaviour change that is beneficial for health. In this report we specifically analyse the evolution of personalised nutrition defined as nutritional advice based on personalised analysis of scientific data obtained from the customers’ phenotype and the scientific knowledge base underpinning such advice. We will touch on technologies that enable the personalisation of food more generally only insofar as they might impact PN in the future through wider network effects within the food system. Personalised nutrition as a clinical and academic field of study has existed for at least four decades, however recent investor interest and cheaper direct-to-consumer (D2C) testing devices have enabled a growing commercial PN sector that has evolved over the past ten years. Commercial PN services provide mostly advice, which is claimed to be based on the latest scientific evidence showing the causal connections between certain individual phenotypic traits (genes, lifestyle factors, gut microbe, blood parameters, age, sex, etc.) and the physiological response to food. In addition to advice, providers increasingly offer personalised supplements and vitamins (which are within the FSA remit) as well as personalised, tailored subscription meal plans. The sector in the UK is currently still small but represented by a number of different business models serving increasing consumer interest in health-related offerings. Moreover, there are hopes that commercial PN might, in the longer-term future, contribute to public health. In this report we have analysed the specific input trends that have enabled the emergence of the sector with the drivers and challenges that are shaping its evolution today. This analysis included a thorough assessment of the science that underpins PN services, the role of technology trends and commercial activity including an overview of the current global and UK markets, wider social trends that impact consumer uptake of PN, and the existing regulatory environment that surrounds PN, a currently unregulated commercial activity. The potential impact on public health, food safety and consumer choice as the industry develops over the coming decade were also assessed.
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