Results for 'Long Term Memory'

954 found
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  1. Pre-frontal executive committee for perception, working memory, attention, long-term memory, motor control, and thinking: A tutorial review.Bill Faw - 2003 - Consciousness and Cognition 12 (1):83-139.
    As an explicit organizing metaphor, memory aid, and conceptual framework, the prefrontal cortex may be viewed as a five-member ‘Executive Committee,’ as the prefrontal-control extensions of five sub-and-posterior-cortical systems: the ‘Perceiver’ is the frontal extension of the ventral perceptual stream which represents the world and self in object coordinates; the ‘Verbalizer’ is the frontal extension of the language stream which represents the world and self in language coordinates; the ‘Motivator’ is the frontal cortical extension of a subcortical extended-amygdala stream (...)
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  2. Making the case that episodic recollection is attributable to operations occurring at retrieval rather than to content stored in a dedicated subsystem of long-term memory.Stan Klein - 2013 - Frontiers in Behavioral Neuroscience 7 (3):1-14.
    Episodic memory often is conceptualized as a uniquely human system of long-term memory that makes available knowledge accompanied by the temporal and spatial context in which that knowledge was acquired. Retrieval from episodic memory entails a form of first–person subjectivity called autonoetic consciousness that provides a sense that a recollection was something that took place in the experiencer’s personal past. In this paper I expand on this definition of episodic memory. Specifically, I suggest that (...)
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  3. (1 other version)Long-Term Potentiation: One Kind or Many?Jacqueline Sullivan - 2017 - In Marcus P. Adams, Zvi Biener, Uljana Feest & Jacqueline Anne Sullivan (eds.), Eppur Si Muove: Doing History and Philosophy of Science with Peter Machamer: A Collection of Essays in Honor of Peter Machamer. Dordrecht: Springer. pp. 127-140.
    Do neurobiologists aim to discover natural kinds? I address this question in this chapter via a critical analysis of classification practices operative across the 43-year history of research on long-term potentiation (LTP). I argue that this 43-year history supports the idea that the structure of scientific practice surrounding LTP research has remained an obstacle to the discovery of natural kinds.
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  4. Encoder-Decoder Based Long Short-Term Memory (LSTM) Model for Video Captioning.Adewale Sikiru, Tosin Ige & Bolanle Matti Hafiz - forthcoming - Proceedings of the IEEE:1-6.
    This work demonstrates the implementation and use of an encoder-decoder model to perform a many-to-many mapping of video data to text captions. The many-to-many mapping occurs via an input temporal sequence of video frames to an output sequence of words to form a caption sentence. Data preprocessing, model construction, and model training are discussed. Caption correctness is evaluated using 2-gram BLEU scores across the different splits of the dataset. Specific examples of output captions were shown to demonstrate model generality over (...)
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  5. Captioning Deep Learning Based Encoder-Decoder through Long Short-Term Memory (LSTM).Grimsby Chelsea - forthcoming - International Journal of Scientific Innovation.
    This work demonstrates the implementation and use of an encoder-decoder model to perform a many-to-many mapping of video data to text captions. The many-to-many mapping occurs via an input temporal sequence of video frames to an output sequence of words to form a caption sentence. Data preprocessing, model construction, and model training are discussed. Caption correctness is evaluated using 2-gram BLEU scores across the different splits of the dataset. Specific examples of output captions were shown to demonstrate model generality over (...)
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  6. (1 other version)Deep Learning Based Video Captioning through Encoder-Decoder Based Long Short-Term Memory (LSTM).Grimsby Chelsea - forthcoming - International Journal of Advanced Computer Science and Applications:1-6.
    This work demonstrates the implementation and use of an encoder-decoder model to perform a many-to-many mapping of video data to text captions. The many-to-many mapping occurs via an input temporal sequence of video frames to an output sequence of words to form a caption sentence. Data preprocessing, model construction, and model training are discussed. Caption correctness is evaluated using 2-gram BLEU scores across the different splits of the dataset. Specific examples of output captions were shown to demonstrate model generality over (...)
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  7. Personality and Authenticity in Light of the Memory-Modifying Potential of Optogenetics.Przemysław Zawadzki & Agnieszka K. Adamczyk - 2021 - American Journal of Bioethics Neuroscience 12 (1):3-21.
    There has been a growing interest in research concerning memory modification technologies (MMTs) in recent years. Neuroscientists and psychologists are beginning to explore the prospect of controllable and intentional modification of human memory. One of the technologies with the greatest potential to this end is optogenetics—an invasive neuromodulation technique involving the use of light to control the activity of individual brain cells. It has recently shown the potential to modify specific long-term memories in animal models in (...)
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  8. How to distinguish memory representations? A historical and critical journey.Marina Trakas - 2019 - Voluntas: Revista Internacional de Filosofia 10 (3):53-86.
    Memory is not a unitary phenomenon. Even among the group of long-term individual memory representations (known in the literature as declarative memory) there seems to be a distinction between two kinds of memory: memory of personally experienced events (episodic memory) and memory of facts or knowledge about the world (semantic memory). Although this distinction seems very intuitive, it is not so clear in which characteristic or set of interrelated characteristics lies (...)
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  9. The child in time: Temporal concepts and self-consciousness in the development of episodic memory.Teresa McCormack & Christoph Hoerl - 2001 - In Chris Moore & Karen Lemmon (eds.), The Self in Time: Developmental Perspectives. Erlbaum. pp. 203-227.
    Investigates the roles of temporal concepts and self-consciousness in the development of episodic memory. According to some theorists, types of long-term memory differ primarily in the degree to which they involve or are associated with self-consciousness (although there may be no substantial differences in the kind of event information that they deliver). However, a known difficulty with this view is that it is not obvious what motivates introducing self-consciousness as the decisive factor in distinguishing between types (...)
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  10.  23
    Evaluating Advanced Deep Learning Methods for Regional Air Quality Index Forecasting.M. Sheik Dawood - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):600-620.
    We investigate the application of Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) networks, and a hybrid CNN-LSTM model for forecasting air pollution levels based on historical data. Our experimental setup uses real-world air quality datasets from multiple regions, containing measurements of pollutants like PM2.5, PM10, CO, NO2, and SO2, alongside meteorological data such as temperature, humidity, and wind speed. The models are trained, validated, and tested using a split dataset, and their accuracy is evaluated using performance (...)
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  11. Memory model of information transmitted in absolute judgment.Lance Nizami - 2011 - Kybernetes 40:80-109.
    Purpose – The purpose of this paper is to examine the popular “information transmitted” interpretation of absolute judgments, and to provide an alternative interpretation if one is needed. Design/methodology/approach – The psychologists Garner and Hake and their successors used Shannon’s Information Theory to quantify information transmitted in absolute judgments of sensory stimuli. Here, information theory is briefly reviewed, followed by a description of the absolute judgment experiment, and its information theory analysis. Empirical channel capacities are scrutinized. A remarkable coincidence, the (...)
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  12. The Logic of Framing Effects.Francesco Berto & Aybüke Özgün - 2023 - Journal of Philosophical Logic 52 (3):939-962.
    _Framing effects_ concern the having of different attitudes towards logically or necessarily equivalent contents. Framing is of crucial importance for cognitive science, behavioral economics, decision theory, and the social sciences at large. We model a typical kind of framing, grounded in (i) the structural distinction between beliefs activated in working memory and beliefs left inactive in long term memory, and (ii) the topic- or subject matter-sensitivity of belief: a feature of propositional attitudes which is attracting growing (...)
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  13. Connectionism, generalization, and propositional attitudes: A catalogue of challenging issues.John A. Barnden - 1992 - In John Dinsmore (ed.), The Symbolic and Connectionist Paradigms: Closing the Gap. Lawrence Erlbaum. pp. 149--178.
    [Edited from Conclusion section:] We have looked at various challenging issues to do with getting connectionism to cope with high-level cognitive activities such a reasoning and natural language understanding. The issues are to do with various facets of generalization that are not commonly noted. We have been concerned in particular with the special forms these issues take in the arena of propositional attitude processing. The main problems we have looked at are: (1) The need to construct explicit representations of generalizations, (...)
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  14. Stokes’s malleability thesis and the normative grounding of propositional attitudes.Christopher Mole - 2023 - Philosophy and the Mind Sciences 4:1-8.
    The position that Stokes’s Thinking and Perceiving aims to overthrow is committed to the idea that the facts about one’s propositional attitudes and the facts about one’s perceptual experiences are alike grounded in facts about representations (in various formats) that are being held in a short or long term memory store, so that computations can be performed upon them. Claims about modularity are claims about the distinctness of these memory stores, and of these representations. One way (...)
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  15. 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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  16. Theories of Consciousness From the Perspective of an Embedded Processes View.Nelson Cowan, Nick I. Ahmed, Chenye Bao, Mackenzie N. Cissne, Ronald D. Flores, Roman M. Gutierrez, Hayse Braden, Madison L. Musich, Hamid Nourbakhshi, Nanan Nuraini, Emily E. Schroeder, Neyla Sfeir, Emilie Sparrow & Luísa Superbia-Guimarães - manuscript
    Considerable recent research in neurosciences has dealt with the topic of consciousness, even though there is still disagreement about how to identify and classify conscious states. Recent behavioral work on the topic also exists. We survey recent behavioral and neuroscientific literature with the aims of commenting on strengths and weaknesses of the literature and mapping new directions and recommendations for experimental psychologists. We reconcile this literature with a view of human information processing (Cowan, 1988; Cowan et al., 2024) in which (...)
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  17. Sideloading: Creating A Model of a Person via LLM with Very Large Prompt.Alexey Turchin & Roman Sitelew - manuscript
    Sideloading is the creation of a digital model of a person during their life via iterative improvements of this model based on the person's feedback. The progress of LLMs with large prompts allows the creation of very large, book-size prompts which describe a personality. We will call mind-models created via sideloading "sideloads"; they often look like chatbots, but they are more than that as they have other output channels, like internal thought streams and descriptions of actions. -/- By arranging the (...)
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  18. The Impact of Handedness, Sex, and Cognitive Abilities on Left–Right Discrimination: A Behavioral Study.Martin Constant & Emmanuel Mellet - 2018 - Frontiers in Psychology 9.
    The present study examined the relationship between left–right discrimination (LRD) performance and handedness, sex and cognitive abilities. In total, 31 men and 35 women – with a balanced ratio of left-and right-handers – completed the Bergen Left–Right Discrimination Test. We found an advantage of left-handers in both identifying left hands and in verifying “left” propositions. A sex effect was also found, as women had an overall higher error rate than men, and increasing difficulty impacted their reaction time more than it (...)
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  19. Reliability and Validity of Experiment in the Neurobiology of Learning and Memory.Sullivan Jacqueline Anne - 2007 - Dissertation, University of Pittsburgh
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  20. Template Tuning and Graded Consciousness.Berit Brogaard & Thomas Alrik Sørensen - 2023 - In Michal Polák, Tomáš Marvan & Juraj Hvorecký (eds.), Conscious and Unconscious Mentality: Examining Their Nature, Similarities and Differences. New York, NY: Routledge. pp. 251–273.
    Whether visual perceptual consciousness is gradable or dichotomous has been the subject of fierce debate in recent years. If perceptual consciousness is gradable, perceivers may have less than full access to—and thus be less than fully phenomenally aware of—perceptual information that is represented in working memory. This raises the question: In virtue of what can a subject be less than fully perceptually conscious? In this chapter, we provide an answer to this question, according to which inexact categorizations of visual (...)
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  21. An empirical study on using visual metaphors in visualization.Rita Borgo, Alfie Abdul-Rahman, Mohamed Farhan, Philip W. Grant, Irene Reppa, Luciano Floridi & Min Chen - 2012 - IEEE Transactions on Visualization and Computer Graphics 18 (12):2759-2768.
    In written and spoken communications, metaphors are often used as an aid to help convey abstract or less tangible concepts. However, the benefits of using visual metaphors in visualization have so far been inconclusive. In this work, we report an empirical study to evaluate hypotheses that visual metaphors may aid memorization, visual search and concept comprehension. One major departure from previous metaphor-related experiments in the literature is that we make use of a dual-task methodology in our experiment. This design offers (...)
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  22. Psychedelics, Meditation, and Self-Consciousness.Raphaël Millière, Robin L. Carhart-Harris, Leor Roseman, Fynn-Mathis Trautwein & Aviva Berkovich-Ohana - 2018 - Frontiers in Psychology 9:375105.
    In recent years, the scientific study of meditation and psychedelic drugs has seen remarkable developments. The increased focus on meditation in cognitive neuroscience has led to a cross-cultural classification of standard meditation styles validated by functional and structural neuroanatomical data. Meanwhile, the renaissance of psychedelic research has shed light on the neurophysiology of altered states of consciousness induced by classical psychedelics, such as psilocybin and LSD, whose effects are mainly mediated by agonism of serotonin receptors. Few attempts have been made (...)
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  23. The sense of diachronic personal identity.Stan Klein - 2013 - Phenomenology and the Cognitive Sciences 12 (4):791-811.
    In this paper, I first consider a famous objection that the standard interpretation of the Lockean account of diachronicity (i.e., one’s sense of personal identity over time) via psychological connectedness falls prey to breaks in one’s personal narrative. I argue that recent case studies show that while this critique may hold with regard to some long-term autobiographical self-knowledge (e.g., episodic memory), it carries less warrant with respect to accounts based on trait-relevant, semantic self-knowledge. The second issue I (...)
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  24. Semanticization Challenges the Episodic–Semantic Distinction.Sara Aronowitz - forthcoming - British Journal for the Philosophy of Science.
    Episodic and semantic memory are often taken to be fundamentally different mental systems, and contemporary philosophers often pursue research questions about episodic memory, in particular, in isolation from semantic memory. This paper challenges that assumption, and puts pressure on philosophical approaches to memory that break off episodic memory as its own standalone topic. I present and systematize psychological and neuroscientific theories of semanticization, the thesis that memory content tends to drift from episodic to semantic (...)
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  25. Solution to the Mind-Body Relation Problem: Information.Florin Gaiseanu - 2021 - Philosophy Study 11 (1):42-55.
    In this paper it is analyzed from the informational perspective the relation between mind and body, an ancient philosophic issue defined as a problem, which still did not receive up to date an adequate solution. By introducing/using the concept of information, it is shown that this concept includes two facets, one of them referring to the common communications and another one referring to a hidden/structuring matter-related information, effectively acting in the human body and in the living systems, which determines the (...)
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  26.  97
    Is Long-Term Thinking a Trap?: Chronowashing, Temporal Narcissism, and the Time Machines of Racism.Michelle Bastian - 2024 - Environmental Humanities 16 (2):403–421.
    This provocation critiques the notion of long-term thinking and the claims of its proponents that it will help address failures in dominant conceptions of time, particularly in regard to environmental crises. Drawing on analyses of the Clock of the Long Now and Kim Stanley Robinson’s The Ministry for the Future, the article suggests that we be more wary of the concept’s use in what we might call chronowashing. Like the more familiar greenwashing, where environmental issues are hidden (...)
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  27. Long-Term Trajectories of Human Civilization.Seth D. Baum, Stuart Armstrong, Timoteus Ekenstedt, Olle Häggström, Robin Hanson, Karin Kuhlemann, Matthijs M. Maas, James D. Miller, Markus Salmela, Anders Sandberg, Kaj Sotala, Phil Torres, Alexey Turchin & Roman V. Yampolskiy - 2019 - Foresight 21 (1):53-83.
    Purpose This paper aims to formalize long-term trajectories of human civilization as a scientific and ethical field of study. The long-term trajectory of human civilization can be defined as the path that human civilization takes during the entire future time period in which human civilization could continue to exist. -/- Design/methodology/approach This paper focuses on four types of trajectories: status quo trajectories, in which human civilization persists in a state broadly similar to its current state into (...)
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  28. The mechanism of action in a spontaneous resolution of chronic depression, anxiety, and burnout—a retrospective case study.Mika Turkia - manuscript
    There is currently no generally agreed-upon definition of the mechanism of action of psychedelic therapy. Existing proposals have approached the issue from various perspectives, utilizing concepts on many layers of abstraction. Most commonly, mechanisms based on neurotransmitters have been proposed. From a clinical perspective, explanations on the psychological level would be more useful. This study provides one such explanation, focusing on the destabilization of trauma-related memories and their replacement with memories that allow for more adaptive behaviors. This mechanism is not (...)
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  29.  23
    Comparing LSTM, GRU, and CNN Approaches in Air Quality Prediction Models.A. Manoj Prabharan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):576-585.
    The results show that the hybrid CNN-LSTM model outperforms the individual models in terms of prediction accuracy and robustness, suggesting that combining convolutional layers with recurrent units is beneficial for capturing both spatial and temporal patterns in air quality data. This study demonstrates the potential of deep learning methods to offer real-time, accurate air quality forecasting systems, which can aid policymakers and urban planners in managing air pollution more effectively.
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  30. Expression of nonconscious knowledge via ideomotor actions.Hélène L. Gauchou, Ronald A. Rensink & Sidney Fels - 2012 - Consciousness and Cognition 21 (2):976-982.
    Ideomotor actions are behaviours that are unconsciously initiated and express a thought rather than a response to a sensory stimulus. The question examined here is whether ideomotor actions can also express nonconscious knowledge. We investigated this via the use of implicit long-term semantic memory, which is not available to conscious recall. We compared accuracy of answers to yes/no questions using both volitional report and ideomotor response . Results show that when participants believed they knew the answer, responses (...)
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  31. Dự báo chỉ số chứng khoán bằng học máy: Bằng chứng thực nghiệm từ thị trường chứng khoán Việt Nam.Đào Lê Kiều Oanh & Nguyễn Thị Minh Châu - 2024 - Kinh Tế Và Dự Báo.
    Nghiên cứu đánh giá hiệu quả của các mô hình học máy trong việc dự đoán biến động của chỉ số VNIndex. Kết quả nghiên cứu cho thấy, phương pháp mạng tích chập thời gian (Temporal Convolutional Networks - TCN) và mạng bộ nhớ dài ngắn (Long Short - Term Memory - LSTM) có khả năng dự báo biến động chỉ số VNIndex với độ chính xác cao, trong đó LSTM thể hiện có hiệu quả dự báo (...)
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  32. Folk Psychology, Eliminativism, and the Present State of Connectionism.Vanja Subotić - 2021 - Theoria: Beograd 1 (64):173-196.
    Three decades ago, William Ramsey, Steven Stich & Joseph Garon put forward an argument in favor of the following conditional: if connectionist models that implement parallelly distributed processing represent faithfully human cognitive processing, eliminativism about propositional attitudes is true. The corollary of their argument (if it proves to be sound) is that there is no place for folk psychology in contemporary cognitive science. This understanding of connectionism as a hypothesis about cognitive architecture compatible with eliminativism is also endorsed by Paul (...)
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  33.  18
    Interpretable Deep Learning Models for Air Quality Prediction: A Study of Techniques and Applications.S. Yoheswari - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):620-630.
    In recent years, the prediction of air quality has become a critical task due to its significant impact on human health and the environment. With urbanization and industrial growth, the need for accurate air quality forecasting has become more urgent. Traditional methods for air quality prediction are often based on statistical models or physical simulations, which, while valuable, can struggle to capture the complexity of air pollution dynamics. This study explores the use of deep learning techniques to predict air quality, (...)
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  34.  28
    AI-Driven Air Quality Forecasting Using Multi-Scale Feature Extraction and Recurrent Neural Networks.P. Selvaprasanth - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):575-590.
    We investigate the application of Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) networks, and a hybrid CNN-LSTM model for forecasting air pollution levels based on historical data. Our experimental setup uses real-world air quality datasets from multiple regions, containing measurements of pollutants like PM2.5, PM10, CO, NO2, and SO2, alongside meteorological data such as temperature, humidity, and wind speed. The models are trained, validated, and tested using a split dataset, and their accuracy is evaluated using performance (...)
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  35.  18
    An investigation into the performances of the Current state-of-the-art Naive Bayes, Non-Bayesian and Deep Learning Based Classifier for Phishing Detection: A Survey. [REVIEW]Tosin Ige - manuscript
    Phishing is one of the most effective ways in which cybercriminals get sensitive details such as credentials for online banking, digital wallets, state secrets, and many more from potential victims. They do this by spamming users with malicious URLs with the sole purpose of tricking them into divulging sensitive information which is later used for various cybercrimes. In this research, we did a comprehensive review of current state-of-the-art machine learning and deep learning phishing detection techniques to expose their vulnerabilities and (...)
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  36. Modeling Long-Term Intentions and Narratives in Autonomous Agents.Christian Kronsted & Zachariah A. Neemeh - forthcoming - Journal of Artificial Intelligence and Consciousness.
    Across various fields it is argued that the self in part consists of an autobiographical self-narrative and that the self-narrative has an impact on agential behavior. Similarly, within action theory, it is claimed that the intentional structure of coherent long-term action is divided into a hierarchy of distal, proximal, and motor intentions. However, the concrete mechanisms for how narratives and distal intentions are generated and impact action is rarely fleshed out concretely. We here demonstrate how narratives and distal (...)
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  37.  20
    A Comparative Study of Advanced Techniques for Predicting Air Quality with Deep Learning.M. Arulselvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):575-586.
    In recent years, the prediction of air quality has become a critical task due to its significant impact on human health and the environment. With urbanization and industrial growth, the need for accurate air quality forecasting has become more urgent. Traditional methods for air quality prediction are often based on statistical models or physical simulations, which, while valuable, can struggle to capture the complexity of air pollution dynamics. This study explores the use of deep learning techniques to predict air quality, (...)
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  38. The Moral Case for Long-Term Thinking.Hilary Greaves, William MacAskill & Elliott Thornley - 2021 - In Natalie Cargill & Tyler M. John (eds.), The Long View: Essays on Policy, Philanthropy, and the Long-term Future. London: FIRST. pp. 19-28.
    This chapter makes the case for strong longtermism: the claim that, in many situations, impact on the long-run future is the most important feature of our actions. Our case begins with the observation that an astronomical number of people could exist in the aeons to come. Even on conservative estimates, the expected future population is enormous. We then add a moral claim: all the consequences of our actions matter. In particular, the moral importance of what happens does not depend (...)
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  39. The long-term viability of team reasoning.S. M. Amadae & Daniel Lempert - 2015 - Journal of Economic Methodology 22 (4):462-478.
    Team reasoning gives a simple, coherent, and rational explanation for human cooperative behavior. This paper investigates the robustness of team reasoning as an explanation for cooperative behavior, by assessing its long-run viability. We consider an evolutionary game theoretic model in which the population consists of team reasoners and ‘conventional’ individual reasoners. We find that changes in the ludic environment can affect evolutionary outcomes, and that in many circumstances, team reasoning may thrive, even under conditions that, at first glance, may (...)
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  40. (1 other version)Economic inequality and the long-term future.Andreas T. Schmidt & Daan Juijn - 2023 - Politics, Philosophy and Economics (1):67-99.
    Why, if at all, should we object to economic inequality? Some central arguments – the argument from decreasing marginal utility for example – invoke instrumental reasons and object to inequality because of its effects. Such instrumental arguments, however, often concern only the static effects of inequality and neglect its intertemporal conse- quences. In this article, we address this striking gap and investigate income inequality’s intertemporal consequences, including its potential effects on humanity’s (very) long-term future. Following recent arguments around (...)
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  41. Environmental Ethics for the Long Term: An Introduction. [REVIEW]Trevor Hedberg - 2017 - Ethics, Policy and Environment 20 (1):121-124.
    In this book review, I assess the merits of John Nolt's Environmental Ethics for the Long Term: An Introduction. Although the book is written as a primary text for an environmental ethics course, some of its later chapters are clearly written more for academic philosophers than undergraduate students. As a textbook, Nolt's book is excellent and an ideal choice for those who want to emphasize the long-term impacts of various environmental problems (e.g., climate change, biodiversity loss) (...)
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  42. Managing the Responsibilities of Doing Good and Avoiding Harm in Sustainability-Orientated Innovations: Example from Agri-Tech Start-Ups in the Netherlands.Thomas B. Long & Vincent Blok - 2022 - In Vincent Blok (ed.), Putting Responsible Research and Innovation into Practice: A Multi-Stakeholder Approach. dordrecht: springer. pp. 249-272.
    Responsible innovation (RI), also termed Responsible Research and Innovation, has emerged due to increasing concern over how to integrate ethical and societal values into research and innovation policy and governance (Von Schomberg 2013), in response to questioning of the societal role of science as well as populist resurgence in some countries (Long and Blok 2017a). Within a RI approach, innovators must consider three dimensions of responsibility, including the dimensions of (1) ‘avoiding harm’ to people and the planet, (2) ‘doing (...)
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  43. Ethical issues involving long-term land leases: a soil sciences perspective.Cristian Timmermann & Georges F. Félix - 2019 - In Cristian Timmermann & Georges F. Félix (eds.), Sustainable governance and management of food systems: ethical perspectives. Wageningen Academic Publishers. pp. 287-292.
    As populations grow and arable land becomes increasingly scarce, large-scale long- term land leases are signed at a growing rate. Countries and investors with large amounts of financial resources and a strong agricultural industry seek long-term land leases for agricultural exploitation or investment purposes. Leaders of financially poorer countries often advertise such deals as a fast way to attract foreign capital. Much has been said about the short-term social costs these types of leases involve, however, (...)
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  44. Deep Learning-Based Speech and Vision Synthesis to Improve Phishing Attack Detection through a Multi-layer Adaptive Framework.Tosin ige, Christopher Kiekintveld & Aritran Piplai - forthcoming - Proceedings of the IEEE:8.
    The ever-evolving ways attacker continues to improve their phishing techniques to bypass existing state-of-the-art phishing detection methods pose a mountain of challenges to researchers in both industry and academia research due to the inability of current approaches to detect complex phishing attack. Thus, current anti-phishing methods remain vulnerable to complex phishing because of the increasingly sophistication tactics adopted by attacker coupled with the rate at which new tactics are being developed to evade detection. In this research, we proposed an adaptable (...)
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  45.  47
    Managing the Responsibilities of Doing Good and Avoiding Harm in Sustainability-Orientated Innovations: Example from Agri-Tech Start-Ups in the Netherlands.Thomas B. Long & Vincent Blok - 2022 - In Vincent Blok (ed.), Putting Responsible Research and Innovation into Practice: A Multi-Stakeholder Approach. dordrecht: springer. pp. 249-272.
    Responsible innovation (RI), also termed Responsible Research and Innovation, has emerged due to increasing concern over how to integrate ethical and societal values into research and innovation policy and governance (Von Schomberg 2013), in response to questioning of the societal role of science as well as populist resurgence in some countries (Long and Blok 2017a). Within a RI approach, innovators must consider three dimensions of responsibility, including the dimensions of (1) ‘avoiding harm’ to people and the planet, (2) ‘doing (...)
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  46. Ethical issues in long-term psychiatric management.D. Dickenson - 1997 - Journal of Medical Ethics 23 (5):300-304.
    Two general ethical problems in psychiatry are thrown into sharp relief by long term care. This article discusses each in turn, in the context of two anonymised case studies from actual clinical practice. First, previous mental health legislation soothed doubts about patients' refusal of consent by incorporating time limits on involuntary treatment. When these are absent, as in the provisions for long term care which have recently come into force, the justification for compulsory treatment and supervision (...)
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  47. Luck Egalitarianism, Responsibility, and Political Liberalism.Ryan Long - 2016 - Dialogue 55 (1):107-130.
    Luck egalitarians argue that distributive justice should be understood in terms of our capacity to be responsible for our choices. Both proponents and critics assume that the theory must rely on a comprehensive conception of responsibility. I respond to luck egalitarianism’s critics by developing a political conception of responsibility that remains agnostic on the metaphysics of free choice. I construct this political conception by developing a novel reading of John Rawls’ distinction between the political and the comprehensive. A surprising consequence (...)
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  48. Short- and Long-Term Social Interactions from the Game Theoretical Perspective: A Cognitive Approach.Bartosz Żukowski & Magdalena Grothe - 2015 - In Piotr Łukowski, Aleksander Gemel & Bartosz Żukowski (eds.), Cognition, Meaning and Action: Lodz-Lund Studies in Cognitive Science. Kraków, Polska: Lodz University Press & Jagiellonian University Press. pp. 181-191.
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  49. Critical-Set Views, Biographical Identity, and the Long Term.Elliott Thornley - forthcoming - Australasian Journal of Philosophy.
    Critical-set views avoid the Repugnant Conclusion by subtracting some constant from the welfare score of each life in a population. These views are thus sensitive to facts about biographical identity: identity between lives. In this paper, I argue that questions of biographical identity give us reason to reject critical-set views and embrace the total view. I end with a practical implication. If we shift our credences towards the total view, we should also shift our efforts towards ensuring that humanity survives (...)
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  50. A Modest Proposal for Preventing the Votes of People with Short Life Expectancy From Being a Long-Term Burden to Their Country.Ognjen Arandjelović - 2023 - Social Sciences 12 (3):173.
    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 (...)
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