Results for 'Constrained optimization'

659 found
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  1.  29
    Efficient Aggregated Data Transmission Scheme for Energy-Constrained Wireless Sensor Networks.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):445-460.
    Optimization algorithms such as Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) are employed to determine the optimal aggregation and transmission schedules, taking into account factors such as network topology, node energy levels, and data urgency. The proposed approach is validated through extensive simulations, demonstrating significant improvements in energy consumption, packet delivery ratio, and overall network performance. The results suggest that the optimized aggregated packet transmission method can effectively extend the lifespan of duty-cycled WSNs while ensuring reliable data (...)
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  2. Une conception néo-poppérienne de l’explication en sciences sociales et ses difficultés internes.Philippe Mongin - 2012 - Dialogue 51 (3):503-515.
    This article discusses the rationality principle, especially in Popper's version, on the occasion of a commentary of Maurice Lagueux's book, Rationality and Explanation in Economics (2010).
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  3.  29
    Efficient Cryptographic Methods for Secure Searchable Data in IoT Frameworks.M. Arulselvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):409-415.
    As the Internet of Things (IoT) continues to expand, ensuring secure and efficient data storage and retrieval becomes a critical challenge. IoT devices, often constrained by limited computational resources, require lightweight encryption protocols that balance security and performance. This paper presents an optimized encryption protocol designed specifically for lightweight, searchable data in IoT environments. The proposed protocol utilizes advanced optimization techniques to enhance the efficiency and security of searchable encryption, enabling rapid data retrieval without compromising the integrity and (...)
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  4. Dose optimisation and scarce resource allocation: two sides of the same coin.Garth Strohbehn, Govind Persad, William F. Parker & Srinivas Murthy - 2022 - BMJ Open 12 (10):e063436.
    Objective: A deep understanding of the relationship between a scarce drug's dose and clinical response is necessary to appropriately distribute a supply-constrained drug along these lines. Summary of key data: The vast majority of drug development and repurposing during the COVID-19 pandemic – an event that has made clear the ever-present scarcity in healthcare systems –has been ignorant of scarcity and dose optimisation's ability to help address it. Conclusions: Future pandemic clinical trials systems should obtain dose optimisation data, as (...)
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  5.  32
    Scalable Encryption Protocol for Searchable Data Management in IoT Systems.S. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):409-415.
    As the Internet of Things (IoT) continues to expand, ensuring secure and efficient data storage and retrieval becomes a critical challenge. IoT devices, often constrained by limited computational resources, require lightweight encryption protocols that balance security and performance. This paper presents an optimized encryption protocol designed specifically for lightweight, searchable data in IoT environments. The proposed protocol utilizes advanced optimization techniques to enhance the efficiency and security of searchable encryption, enabling rapid data retrieval without compromising the integrity and (...)
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  6.  30
    OPTIMIZED ENCRYPTION PROTOCOL FOR LIGHTWEIGHT AND SEARCHABLE DATA IN IOT ENVIRONMENTS.S. Yoheswari - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):408-414.
    As the Internet of Things (IoT) continues to expand, ensuring secure and efficient data storage and retrieval becomes a critical challenge. IoT devices, often constrained by limited computational resources, require lightweight encryption protocols that balance security and performance. This paper presents an optimized encryption protocol designed specifically for lightweight, searchable data in IoT environments. The proposed protocol utilizes advanced optimization techniques to enhance the efficiency and security of searchable encryption, enabling rapid data retrieval without compromising the integrity and (...)
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  7. Optimisation of mixed proportion for cement brick containing plastic waste using response surface methodology (RSM).Chuck Chuan Ng - 2022 - Innovative Infrastructure Solutions 7.
    Plastic waste is a significant environmental problem for almost all countries; therefore, protecting the environment from the problem is crucial. The most sensible solution to these problems is substituting the natural aggregates with substantial plastic waste in various building materials. This study aimed to optimise the mixed design ratio of cement brick containing plastic waste as aggregate replacement. Plastic cement brick mixtures were prepared by the incorporation of four different types of plastic waste such as polyethylene terephthalate (PET), high-density polyethylene, (...)
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  8. Referent tracking for treatment optimisation in schizophrenic patients.Werner Ceusters & Barry Smith - 2006 - Journal of Web Semantics 4 (3):229-236.
    The IPAP Schizophrenia Algorithm was originally designed in the form of a flow chart to help physicians optimise the treatment of schizophrenic patients. We examined the current version from the perspective of recent work on terminologies and ontologies thereby drawing on the resources of Basic Formal Ontology, and this with the objective to make the algorithm appropriate for Semantic Web applications. We found that Basic Formal Ontology is a rich enough theory to represent all the entities involved and that applying (...)
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  9. (1 other version)Does optimization imply rationality?Philippe Mongin - 2000 - Synthese 124 (1-2):73 - 111.
    The relations between rationality and optimization have been widely discussed in the wake of Herbert Simon's work, with the common conclusion that the rationality concept does not imply the optimization principle. The paper is partly concerned with adding evidence for this view, but its main, more challenging objective is to question the converse implication from optimization to rationality, which is accepted even by bounded rationality theorists. We discuss three topics in succession: (1) rationally defensible cyclical choices, (2) (...)
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  10. Optimization Models for Reaction Networks: Information Divergence, Quadratic Programming and Kirchhoff’s Laws.Julio Michael Stern - 2014 - Axioms 109:109-118.
    This article presents a simple derivation of optimization models for reaction networks leading to a generalized form of the mass-action law, and compares the formal structure of Minimum Information Divergence, Quadratic Programming and Kirchhoff type network models. These optimization models are used in related articles to develop and illustrate the operation of ontology alignment algorithms and to discuss closely connected issues concerning the epistemological and statistical significance of sharp or precise hypotheses in empirical science.
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  11. Global Optimization Studies on the 1-D Phase Problem.Jim Marsh, Martin Zwick & Byrne Lovell - 1996 - Int. J. Of General Systems 25 (1):47-59.
    The Genetic Algorithm (GA) and Simulated Annealing (SA), two techniques for global optimization, were applied to a reduced (simplified) form of the phase problem (RPP) in computational crystallography. Results were compared with those of "enhanced pair flipping" (EPF), a more elaborate problem-specific algorithm incorporating local and global searches. Not surprisingly, EPF did better than the GA or SA approaches, but the existence of GA and SA techniques more advanced than those used in this study suggest that these techniques still (...)
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  12.  50
    OPTIMIZATION TECHNIQUES FOR LOAD BALANCING IN DATA-INTENSIVE APPLICATIONS USING MULTIPATH ROUTING NETWORKS.S. Yoheswari - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):377-382.
    In today's data-driven world, the efficient management of network resources is crucial for optimizing performance in data centers and large-scale networks. Load balancing is a critical process in ensuring the equitable distribution of data across multiple paths, thereby enhancing network throughput and minimizing latency. This paper presents a comprehensive approach to load balancing using advanced optimization techniques integrated with multipath routing protocols. The primary focus is on dynamically allocating network resources to manage the massive volume of data generated by (...)
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  13.  32
    Optimization Algorithms for Load Balancing in Data-Intensive Systems with Multipath Routing.M. Arulselvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):377-382.
    : In today's data-driven world, the efficient management of network resources is crucial for optimizing performance in data centers and large-scale networks. Load balancing is a critical process in ensuring the equitable distribution of data across multiple paths, thereby enhancing network throughput and minimizing latency. This paper presents a comprehensive approach to load balancing using advanced optimization techniques integrated with multipath routing protocols. The primary focus is on dynamically allocating network resources to manage the massive volume of data generated (...)
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  14. Economic rationality and the optimization trap.Nikil Mukerji & Julian Nida-Rümelin - 2015 - St. Gallen Business Review 2015 (1):12-17.
    The theme of this issue of the St. Gallen Business Review is "Harmony". For this reason, we would like to discuss whether two aspects of our life- world are in harmony, namely economic optimization and morality. What is the relation between them? According to a widely shared view, which is one aspect of the doctrine of "mainstream economics", the functioning of an economic system does not require moral behaviour on the part of the individual economic agent. In what follows, (...)
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  15.  51
    Multipath Routing Optimization for Enhanced Load Balancing in Data-Heavy Networks.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):377-382.
    In today's data-driven world, the efficient management of network resources is crucial for optimizing performance in data centers and large-scale networks. Load balancing is a critical process in ensuring the equitable distribution of data across multiple paths, thereby enhancing network throughput and minimizing latency. This paper presents a comprehensive approach to load balancing using advanced optimization techniques integrated with multipath routing protocols. The primary focus is on dynamically allocating network resources to manage the massive volume of data generated by (...)
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  16. Optimization and Beyond.Akshath Jitendranath - 2024 - Journal of Philosophy 121 (3):121-146.
    This paper will be concerned with hard choices—that is, choice situations where an agent cannot make a rationally justified choice. Specifically, this paper asks: if an agent cannot optimize in a given situation, are they facing a hard choice? A pair of claims are defended in light of this question. First, situations where an agent cannot optimize because of incompleteness of the binary preference or value relation constitute a hard choice. Second, situations where agents cannot optimize because the binary preference (...)
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  17.  39
    Innovative Approaches in Cardiovascular Disease Prediction Through Machine Learning Optimization.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):350-359.
    Cardiovascular diseases (CVD) represent a significant cause of morbidity and mortality worldwide, necessitating early detection for effective intervention. This research explores the application of machine learning (ML) algorithms in predicting cardiovascular diseases with enhanced accuracy by integrating optimization techniques. By leveraging data-driven approaches, ML models can analyze vast datasets, identifying patterns and risk factors that traditional methods might overlook. This study focuses on implementing various ML algorithms, such as Decision Trees, Random Forest, Support Vector Machines, and Neural Networks, optimized (...)
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  18. Combining Optimization and Randomization Approaches for the Design of Clinical Trials.Julio Michael Stern, Victor Fossaluza, Marcelo de Souza Lauretto & Carlos Alberto de Braganca Pereira - 2015 - Springer Proceedings in Mathematics and Statistics 118:173-184.
    t Intentional sampling methods are non-randomized procedures that select a group of individuals for a sample with the purpose of meeting specific prescribed criteria. In this paper we extend previous works related to intentional sampling, and address the problem of sequential allocation for clinical trials with few patients. Roughly speaking, patients are enrolled sequentially, according to the order in which they start the treatment at the clinic or hospital. The allocation problem consists in assigning each new patient to one, and (...)
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  19.  22
    Latency-Aware Packet Transmission Optimization in Duty-Cycled WSNs.M. Arulselvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):444-459.
    Wireless Sensor Networks (WSNs) have become increasingly prevalent in various applications, ranging from environmental monitoring to smart cities. However, the limited energy resources of sensor nodes pose significant challenges in maintaining network longevity and data transmission efficiency. Duty-cycled WSNs, where sensor nodes alternate between active and sleep states to conserve energy, offer a solution to these challenges but introduce new complexities in data transmission. This paper presents an optimized approach to aggregated packet transmission in duty-cycled WSNs, utilizing advanced optimization (...)
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  20. Boring language is constraining the impact of climate science.Quan-Hoang Vuong, Minh-Hoang Nguyen & Viet-Phuong La - 2024 - Ms Thoughts.
    Language, one of humanity’s major transformative innovations, is foundational for many cultural, artistic, scientific, and economic advancements, including the creation of artificial intelligence (AI). However, in the fight against climate change, the power of such innovation is constrained due to the boring language of climate science and science communication. In this essay, we encapsulated the situation and risks of boring language in communicating climate information to the public and countering climate denialism and disinformation. Based on the Serendipity-Mindsponge-3D knowledge management (...)
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  21. Optimization of commodity stocks enterprise by means of HML-FRM clustering.Igor Britchenko & Maksym Bezpartochnyi - 2020 - Financial and Credit Activity: Problems of Theory and Practice 3 (34(2020)):259-269.
    The article examines the process of formation inventory of the enterprise and determines the optimal volume of commodity resources for sale. A generalization of author’s approaches to the formation and evaluation of inventories of the enterprise is carried out. The marketing-logistic approach was applied for the purpose of distribution groups of commodity resources due to the risk of non-fulfillment the order for the supply of goods of the enterprise. In order to ensure an effective process of commodity provision of the (...)
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  22. System availability optimization for production and embedding of bitumen bounded materials.Milan Mirkovic - 2016 - Dissertation, University of Belgrade
    Application of the reliability of repairable systems on solving problems from constructing production systems takes an important place in the process of finding the optimal solution among the suggested system choices. The basic hypothesis when using the reliability of the repairable systems is that every machine is representing a component, a fact that is debatable when talking about technical sciences. However, considering the second assumption of the stationary process, the function of the availability is introduced. It represents the measure between (...)
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  23.  86
    OPTIMIZATION OF DESTINATION IMAGE: THE ENVIRONMENTAL IMPLICATIONS OF TOURISTS ARRIVALS IN MATABUNGKAY BEACH, LIAN.James Edrian M. Cotacte, Ma Jane Dimple N. Anit, Luzielle F. Fuerte, Maria Aurora R. Marasigan & Jowenie A. Mangarin - 2024 - Get International Research Journal 2 (2):61-80.
    This qualitative case study investigates the environmental implications of tourist arrivals in Matabungkay Beach, Lian, and their impact on the destination image. Through in-depth interviews with seven key stakeholders, including local residents, business owners, and environmental activists, the study explores perceptions, concerns, and potential solutions regarding the intersection of tourism and environmental sustainability. Findings reveal a complex relationship between tourism and environmental degradation, with participants expressing concerns about poor waste management, impacts on destination image, and health concerns. These challenges not (...)
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  24. Structural Optimization with Reliability Constraints.John Dalsgaard Sørensen & Palle Thoft-Christensen - unknown
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  25. Why kinship is progeneratively constrained: Extending anthropology.Robert A. Wilson - 2022 - Synthese 200 (2):1-20.
    The conceptualisation of kinship and its study remain contested within anthropology. This paper draws on recent cognitive science, developmental cognitive psychology, and the philosophy of science to offer a novel argument for a view of kinship as progeneratively or reproductively constrained. I shall argue that kinship involves a form of extended cognition that incorporates progenerative facts, going on to show how the resulting articulation of kinship’s progenerative nature can be readily expressed by an influential conception of kinds, the homeostatic (...)
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  26. Constraining condemning.Roger Wertheimer - 1998 - Ethics 108 (3):489-501.
    Our culture is conflicted about morally judging and condemning. We can't avoid it altogether, yet many layfolk today are loathe to do it for reasons neither they nor philosophers well understand. Their resistance is often confused (by themselves and by theorists) with some species of antiobjectivism. But unlike a nonobjectivist, most people think that (a) for us to judge and condemn is generally (objectively) morally wrong , yet (b) for God to do so is (objectively) proper, and (c) so too (...)
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  27. Skull-bound perception and precision optimization through culture.Bryan Paton, Josh Skewes, Chris Frith & Jakob Hohwy - 2013 - Behavioral and Brain Sciences 36 (3):222-222.
    Clark acknowledges but resists the indirect mind–world relation inherent in prediction error minimization (PEM). But directness should also be resisted. This creates a puzzle, which calls for reconceptualization of the relation. We suggest that a causal conception captures both aspects. With this conception, aspects of situated cognition, social interaction and culture can be understood as emerging through precision optimization.
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  28.  33
    Machine Learning-Driven Optimization for Accurate Cardiovascular Disease Prediction.Yoheswari S. - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):350-359.
    The research methodology involves data preprocessing, feature engineering, model training, and performance evaluation. We employ optimization methods such as Genetic Algorithms and Grid Search to fine-tune model parameters, ensuring robust and generalizable models. The dataset used includes patient medical records, with features like age, blood pressure, cholesterol levels, and lifestyle habits serving as inputs for the ML models. Evaluation metrics, including accuracy, precision, recall, F1-score, and the area under the ROC curve (AUC-ROC), assess the model's predictive power.
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  29. Attack Prevention in IoT through Hybrid Optimization Mechanism and Deep Learning Framework.Regonda Nagaraju, Jupeth Pentang, Shokhjakhon Abdufattokhov, Ricardo Fernando CosioBorda, N. Mageswari & G. Uganya - 2022 - Measurement: Sensors 24:100431.
    The Internet of Things (IoT) connects schemes, programs, data management, and operations, and as they continuously assist in the corporation, they may be a fresh entryway for cyber-attacks. Presently, illegal downloading and virus attacks pose significant threats to IoT security. These risks may acquire confidential material, causing reputational and financial harm. In this paper hybrid optimization mechanism and deep learning,a frame is used to detect the attack prevention in IoT. To develop a cybersecurity warning system in a huge data (...)
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  30. e-AIMSS (Electronic Asset Inventory and Management System in School) for Resource Optimization and Organizational Productivity.Antonio C. Ahmad - 2023 - International Journal of Multidisciplinary Educational Research and Innovation 1 (3):109-120.
    This capstone is centered around the development of an efficient electronic property inventory system tailored for school assets, driven by the overarching objective of resource optimization to ensure equitable access to vital materials for all learners. The methodology follows the “ISSO” framework (Ignite, Strategize, Systematize, Operationalize), complemented by a Logical Framework. The project employs a homegrown digitalized system constructed through a waterfall model approach, which undergoes alpha and beta testing. The study’s analysis utilizes a t-Test to evaluate its impact. (...)
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  31. How Our Biology Constrains Our Science.Michael Vlerick - 2017 - Kairos 18 (1):31-53.
    Reasoning from a naturalistic perspective, viewing the mind as an evolved biological organ with a particular structure and function, a number of influential philosophers and cognitive scientists claim that science is constrained by human nature. How exactly our genetic constitution constrains scientific representations of the world remains unclear. This is problematic for two reasons. Firstly, it often leads to the unwarranted conclusion that we are cognitively closed to certain aspects or properties of the world. Secondly, it stands in the (...)
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  32. Intentional Sampling by Goal Optimization with Decoupling by Stochastic Perturbation.Julio Michael Stern, Marcelo de Souza Lauretto, Fabio Nakano & Carlos Alberto de Braganca Pereira - 2012 - AIP Conference Proceedings 1490:189-201.
    Intentional sampling methods are non-probabilistic procedures that select a group of individuals for a sample with the purpose of meeting specific prescribed criteria. Intentional sampling methods are intended for exploratory research or pilot studies where tight budget constraints preclude the use of traditional randomized representative sampling. The possibility of subsequently generalize statistically from such deterministic samples to the general population has been the issue of long standing arguments and debates. Nevertheless, the intentional sampling techniques developed in this paper explore pragmatic (...)
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  33. The infinite regress of optimization.Philippe Mongin - 1991 - Behavioral and Brain Sciences 14 (2):229-230.
    A comment on Paul Schoemaker's target article in Behavioral and Brain Sciences, 14 (1991), p. 205-215, "The Quest for Optimality: A Positive Heuristic of Science?" (https://doi.org/10.1017/S0140525X00066140). This comment argues that the optimizing model of decision leads to an infinite regress, once internal costs of decision (i.e., information and computation costs) are duly taken into account.
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  34. Lagrange Multipliers and Neutrosophic Nonlinear Programming Problems Constrained by Equality Constraints.Florentin Smarandache & Maissam Jdid - 2023 - Neutrosophic Systems with Applications 6.
    Operations research science is defined as the science that is concerned with applying scientific methods to complex problems in managing and directing large systems of people, including resources and tools in various fields, private and governmental work, peace and war, politics, administration, economics, planning and implementation in various domains. It uses scientific methods that take the language of mathematics as a basis for it and uses computer, without which it would not have been possible to achieve numerical solutions to the (...)
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  35. Multitask Music-Based Therapy Optimization in Aging Neurorehability by Activation of the Informational Cognitive Centers of Consciousness.Florin Gaiseanu - 2020 - Gerontology and Geriatric Studies 6 (3):1-5.
    The rapid increase of the old age people imposes the reconsideration of the rehabilitation techniques and procedures and/or the development of the existing ones, at least from two points of view: the limitation use of the pharmaceutical drugs because of their secondary effects in the debilitated organisms and their avoidance; the high risk of the induced anxiety states, depression or other symptoms as a consequence of the main disease, i.e. the neuro-degenerative or mobility dysfunctions, limiting again the use of such (...)
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  36.  48
    ENHANCED SLA-DRIVEN LOAD BALANCING ALGORITHMS FOR DATA CENTER OPTIMIZATION USING ADVANCED OPTIMIZATION TECHNIQUES.S. Yoheswari - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):369-376.
    In modern data centers, managing the distribution of workloads efficiently is crucial for ensuring optimal performance and meeting Service Level Agreements (SLAs). Load balancing algorithms play a vital role in this process by distributing workloads across computing resources to avoid overloading any single resource. However, the effectiveness of these algorithms can be significantly enhanced through the integration of advanced optimization techniques. This paper proposes an SLA-driven load balancing algorithm optimized using methods such as genetic algorithms, particle swarm optimization, (...)
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  37. Big Data Optimization in Machine Learning.Xiaocheng Tang - 2015 - Disertation 1.
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  38. A Review on Resource Provisioning Algorithms Optimization Techniques in Cloud Computing.M. R. Sumalatha & M. Anbarasi - 2019 - International Journal of Electrical and Computer Engineering 9 (1).
    Cloud computing is the provision of IT resources (IaaS) on-demand using a pay as you go model over the internet. It is a broad and deep platform that helps customers builds sophisticated, scalable applications. To get the full benefits, research on a wide range of topics is needed. While resource over provisioning can cost users more than necessary, resource under provisioning hurts the application performance. The cost effectiveness of cloud computing highly depends on how well the customer can optimize the (...)
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  39. Individualism Under Constraining Social Norms: Conceptualizing the Lived Experiences of LGBT persons.Jesper Ahlin Marceta - 2021 - AVANT. Trends in Interdisciplinary Studies 1 (12):1-22.
    Value conflicts between individualism and collectivism are common. In philosophy, such conflicts have been conceptualized as conflicts between individuality and conformity, among other things. This article develops a more detailed conceptual framework by combining philosophical analysis with empirical observations. The focus is on value conflicts pertaining to LGBT (lesbian, gay, bisexual, and transgender) factors in a non-individualist society (Georgia). Conservative or traditional norms sometimes constrain LGBT individuals by influencing them to adapt to social expectations. The phenomenon is intuitively clear and (...)
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  40. The Many Faces of Attention: why precision optimization is not attention.Madeleine Ransom & Sina Fazelpour - 2020 - In Dina Mendonça, Manuel Curado & Steven S. Gouveia (eds.), The Philosophy and Science of Predictive Processing. New York, NY: Bloomsbury Publishing. pp. 119-139.
    The predictive coding (PC) theory of attention identifies attention with the optimization of the precision weighting of prediction error. Here we provide some challenges for this identification. On the one hand, the precision weighting of prediction error is too broad a phenomenon to be identified with attention because such weighting plays a central role in multimodal integration. Cases of crossmodal illusions such as the rubber hand illusion and the McGurk effect involve the differential precision weighting of prediction error, yet (...)
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  41. What’s Positive and Negative about Generics: A Constrained Indexical Approach.Junhyo Lee & Anthony Nguyen - 2022 - Philosophical Studies 179 (5):1739-1761.
    Nguyen argues that only his radically pragmatic account and Sterken’s indexical account can capture what we call the positive data. We present some new data, which we call the negative data, and argue that no theory of generics on the market is compatible with both the positive data and the negative data. We develop a novel version of the indexical account and show that it captures both the positive data and the negative data. In particular, we argue that there is (...)
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  42.  41
    Analysis of the amount of latent carbon in the reconstruction of residential buildings with a multi-objective optimization approach.Nima Amani, Abdulamir Rezasoroush & Ehsan Kiaee - 2024 - International Journal of Energy Sector Management (Ijesm) (ahead-of-print).
    Purpose: Due to the increase in energy demand and the effects of global warming, energy-efficient buildings have gained significant importance in the modern construction industry. To create a suitable framework with the aim of reducing energy consumption in the building sector, the external walls of a residential building were considered with two criteria of global warming potential and energy consumption. -/- Design/methodology/approach: In the first stage, to achieve a nearly zero-energy building, energy analysis was performed for 37 different states of (...)
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  43. Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments.Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Biplav Srivastava & Brent Venable - manuscript
    [Multiple authors] In this paper, we propose a general architecture that is based on fast/slow solvers and a metacognitive component. We then present experimental results on the behavior of an instance of this architecture, for AI systems that make decisions about navigating in a constrained environment. We show how combining the fast and slow decision modalities allows the system to evolve over time and gradually pass from slow to fast thinking with enough experience, and that this greatly helps in (...)
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  44. The Isaac Levi Prize 2023: Optimization and Beyond.Akshath Jitendranath - 2024 - Journal of Philosophy 121 (3):1-2.
    This paper will be concerned with hard choices—that is, choice situations where an agent cannot make a rationally justified choice. Specifically, this paper asks: if an agent cannot optimize in a given situation, are they facing a hard choice? A pair of claims are defended in light of this question. First, situations where an agent cannot optimize because of incompleteness of the binary preference or value relation constitute a hard choice. Second, situations where agents cannot optimize because the binary preference (...)
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  45. Evolutionary possibilities: Can a society be constrained so that “the good” self-organizes?John E. Stewart - 2018 - World Futures 74 (1):1-35.
    Can a human society be constrained in such a way that self-organization will thereafter tend to produce outcomes that advance the goals of the society? Such a society would be self-organizing in the sense that individuals who pursue only their own interests would none-the-less act in the interests of the society as a whole, irrespective of any intention to do so. The paper sketches an agent-based model that identifies the conditions that must be met if such a self-organizing society (...)
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  46.  66
    Responsibility for reality: Social norms and the value of constrained choice.Elsa Kugelberg - 2021 - Politics, Philosophy and Economics 20 (4):357-384.
    How do social norms influence our choices? And does the presence of biased norms affect what we owe to each other? Looking at empirical research relating to PrEP rollout in HIV prevention policy, a...
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  47. A Ghost in the Shell or an Anatomically Constrained Phenomenon? Consciousness through the Spatiotemporal Body.Federico Zilio - 2022 - Phenomenology and Mind 22 (22):104.
    Intuitively, we can conceive of the existence of a conscious state as a pure activity that does not necessarily require a body (or even a brain). This idea has found new support in certain recent theories that present the possibility of a totally disconnected and disembodied consciousness. Against this hypothesis, I argue that human experience is intrinsically embodied and embedded, though in a specific way. Using Sartre’s phenomenology of the body, I first analyze the concept of consciousness as intentionality and (...)
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  48. Making race out of nothing : psychologically constrained social roles.Ron Mallon & Daniel Kelly - 2012 - In Harold Kincaid (ed.), The Oxford Handbook of Philosophy of Social Science. Oxford University Press.
    Race is one of the most common variables in the social sciences, used to draw correlations between racial groups and numerous other important variables such as education, healthcare outcomes, aptitude tests, wealth, employment and so forth. But where concern with race once reflected the view that races were biologically real, many, if not most, contemporary social scientists have abandoned the idea that racial categories demarcate substantial, intrinsic biological differences between people. This, in turn, raises an important question about the significance (...)
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  49. Viés da Escalada, Daemons de Otimização, e a Influência da Narrativa Social Aceleracionista (Hill-Climbing Bias, Optimization Daemons, and the Influence of Accelerated Social Narratives).Nicholas Kluge Corrêa - 2021 - Ciências and Cognição 26 (2):266-276.
    O fenômeno de aceleração social, intimamente ligado a nossa modernização tecnológica e os sistemas políticos e sociais que adotamos, vem sendo alvo de questionamentos por parte da teoria crítica por diversos filósofos e sociólogos, principalmente em relação a se tal "aceleração" seja algo que, possa ser justificável pelo bem comum da sociedade. De fato, as rápidas mudanças que ocorreram no último século causaram uma tremenda mudança em nossos estilos-de-vida, e na maneira como experienciamos o mundo. Que a nossa sociedade mudou (...)
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  50. Is Clayton correct to say that parental power should be constrained in the same way as state power, and for the same reasons?Marie Oldfield - manuscript
    This paper discusses Claytons theory on Comprehensive enrolment of children by their parents. This paper supports Claytons view that we should not enrol children. However, Cameron raises objections which cause problems for the application of this framework. Namely, the cost of giving up a belief, choices made for us in childhood and the application of the PRR (Public Reason Restriction) to the way the parent-child relationship should function. Some modifications to Clayton’s framework and further debate is required to fully address (...)
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