Results for 'Condenser, Fuzzy self-tuning PI controller, Fuzzy logic, PID'

977 found
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  1.  12
    Combination of fuzzy control and reinforcement learning for wind turbine pitch control.J. Enrique Sierra-Garcia & Matilde Santos - forthcoming - Logic Journal of the IGPL.
    The generation of the pitch control signal in a wind turbine (WT) is not straightforward due to the nonlinear dynamics of the system and the coupling of its internal variables; in addition, they are subjected to the uncertainty that comes from the random nature of the wind. Fuzzy logic has proved useful in applications with changing system parameters or where uncertainty is relevant as in this one, but the tuning of the fuzzy logic controller (FLC) parameters is (...)
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  2. A nonlinear, GA-optimized, fuzzy logic system for the evaluation of multisource biofunctional intelligence.Abdollah Homaifar, Vijayarangan Copalan & Lynn Dismuke - 2000 - Journal of Mind and Behavior 21 (1-2):137-147.
    Using the genetic algorithm and fuzzy logic, this study presents a nonlinear approach to the evaluation of biofunctional intelligence. According to the biofunctional model, intelligence may be viewed as a multisource phenomenon resulting in part from the interaction of learning processes and sources of self-regulation. Learning processes are regulated by three sources of control , producing three subprocesses for each learning process. This paper examines the role of five such subprocesses as contributors to intelligence. Fuzzy logic captures (...)
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  3.  14
    AGV fuzzy control optimized by genetic algorithms.J. Enrique Sierra-Garcia & Matilde Santos - 2024 - Logic Journal of the IGPL 32 (6):955-970.
    Automated Guided Vehicles (AGV) are an essential element of transport in industry 4.0. Although they may seem simple systems in terms of their kinematics, their dynamics is very complex, and it requires robust and efficient controllers for their routes in the workspaces. In this paper, we present the design and implementation of an intelligent controller of a hybrid AGV based on fuzzy logic. In addition, genetic algorithms have been used to optimize the speed control strategy, aiming at improving efficiency (...)
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  4.  98
    A Compound Controller of an Aerial Manipulator Based on Maxout Fuzzy Neural Network.Xinchen Qi, Jianwei Wu & Jiansheng Pan - 2020 - Complexity 2020:1-10.
    The aerial manipulator is a complex system with high coupling and instability. The motion of the robotic arm will affect the self-stabilizing accuracy of the unmanned aerial vehicles. To enhance the stability of the aerial manipulator, a composite controller combining conventional proportion integration differentiation control, fuzzy theory, and neural network algorithm is proposed. By blurring the attitude error signal of UAV as the input of the neural network, the anti-interference ability and stability of UAV is improved. At the (...)
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  5.  93
    Fuzzy Logic Programming and Fuzzy Control.Giangiacomo Gerla - 2005 - Studia Logica 79 (2):231-254.
    We show that it is possible to base fuzzy control on fuzzy logic programming. Indeed, we observe that the class of fuzzy Herbrand interpretations gives a semantics for fuzzy programs and we show that the fuzzy function associated with a fuzzy system of IF-THEN rules is the fuzzy Herbrand interpretation associated with a suitable fuzzy program.
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  6.  20
    Trajectory Tracking Control in Real-Time of Dual-Motor-Driven Driverless Racing Car Based on Optimal Control Theory and Fuzzy Logic Method.Gang Li, Sucai Zhang, Lei Liu, Xubin Zhang & Yuming Yin - 2021 - Complexity 2021:1-16.
    To improve the accuracy and timeliness of the trajectory tracking control of the driverless racing car during the race, this paper proposes a track tracking control method that integrates the rear wheel differential drive and the front wheel active steering based on optimal control theory and fuzzy logic method. The model of the lateral track tracking error of the racing car is established. The model is linearized and discretized, and the quadratic optimal steering control problem is constructed. Taking advantage (...)
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  7.  40
    The $L\Pi$ and $L\Pi\frac{1}{2}$ logics: two complete fuzzy systems joining Łukasiewicz and Product Logics. [REVIEW]Francesc Esteva, Lluís Godo & Franco Montagna - 2001 - Archive for Mathematical Logic 40 (1):39-67.
    In this paper we provide a finite axiomatization (using two finitary rules only) for the propositional logic (called $L\Pi$ ) resulting from the combination of Lukasiewicz and Product Logics, together with the logic obtained by from $L \Pi$ by the adding of a constant symbol and of a defining axiom for $\frac{1}{2}$ , called $L \Pi\frac{1}{2}$ . We show that $L \Pi \frac{1}{2}$ contains all the most important propositional fuzzy logics: Lukasiewicz Logic, Product Logic, Gödel's Fuzzy Logic, Takeuti (...)
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  8. Self-reference and Chaos in Fuzzy Logic.Patrick Grim - 1993 - IEEE Transactions on Fuzzy Systems 1:237-253.
    The purpose of this paper is to open for investigation a range of phenomena familiar from dynamical systems or chaos theory which appear in a simple fuzzy logic with the introduction of self-reference. Within that logic, self-referential sentences exhibit properties of fixed point attractors, fixed point repellers, and full chaos on the [0, 1] interval. Strange attractors and fractals appear in two dimensions in the graphing of pairs of mutually referential sentences and appear in three dimensions in (...)
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  9. An introduction to fuzzy logic for practical applications.Kazuo Tanaka - 1997 - New York: Springer.
    Fuzzy logic has become an important tool for a number of different applications ranging from the control of engineering systems to artificial intelligence. In this concise introduction, the author presents a succinct guide to the basic ideas of fuzzy logic, fuzzy sets, fuzzy relations, and fuzzy reasoning, and shows how they may be applied. The book culminates in a chapter which describes fuzzy logic control: the design of intelligent control systems using fuzzy if-then (...)
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  10.  29
    ‎Proof Theory for Fuzzy Logics.George Metcalfe, Nicola Olivetti & Dov M. Gabbay - 2008 - Dordrecht, Netherland: Springer.
    Fuzzy logics are many-valued logics that are well suited to reasoning in the context of vagueness. They provide the basis for the wider field of Fuzzy Logic, encompassing diverse areas such as fuzzy control, fuzzy databases, and fuzzy mathematics. This book provides an accessible and up-to-date introduction to this fast-growing and increasingly popular area. It focuses in particular on the development and applications of "proof-theoretic" presentations of fuzzy logics; the result of more than ten (...)
  11.  27
    Mathematics Behind Fuzzy Logic.Esko Turunen - 1999 - Physica-Verlag Heidelberg.
    Many results in fuzzy logic depend on the mathematical structure the truth value set obeys. In this textbook the algebraic foundations of many-valued and fuzzy reasoning are introduced. The book is self-contained, thus no previous knowledge in algebra or in logic is required. It contains 134 exercises with complete answers, and can therefore be used as teaching material at universities for both undergraduated and post-graduated courses. Chapter 1 starts from such basic concepts as order, lattice, equivalence and (...)
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  12.  36
    Fuzzy logic and applications: 5th international workshop, WILF 2003, Naples, Italy, October 9-11, 2003: revised selected papers.V. Di Gesù, F. Masulli & Alfredo Petrosino (eds.) - 2006 - New York: Springer.
    This volume constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Fuzzy Logic and Applications held in Naples, Italy, in October 2003. The 40 revised full papers presented have gone through two rounds of reviewing and revision. All current issues of theoretical, experimental and applied fuzzy logic and related techniques are addressed with special attention to rough set theory, neural networks, genetic algorithms and soft computing. The papers are organized in topical section on fuzzy (...)
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  13.  20
    Algebraic foundations of many-valued reasoning.Roberto Cignoli - 1999 - Boston: Kluwer Academic Publishers. Edited by Itala M. L. D'Ottaviano & Daniele Mundici.
    This unique textbook states and proves all the major theorems of many-valued propositional logic and provides the reader with the most recent developments and trends, including applications to adaptive error-correcting binary search. The book is suitable for self-study, making the basic tools of many-valued logic accessible to students and scientists with a basic mathematical knowledge who are interested in the mathematical treatment of uncertain information. Stressing the interplay between algebra and logic, the book contains material never before published, such (...)
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  14.  33
    Toward a better self-regulation: degree of certainty through fuzzy logic in a formative assessment.A. Naji & M. Ramdani - 2016 - AI and Society 31 (2):259-264.
  15.  14
    Introduction to fuzzy logic.James K. Peckol - 2021 - Hoboken, NJ: Wiley.
    Fuzzy logic is finding increased application in the control of real-world processes and in the work with and the manipulation of inexact knowledge. Two of the major attractions of fuzzy logic are: it permits one to express problems in (familiar) linguistic terms and it can be applied where the numerical mathematical model of a system may be too complex or impossible to build using conventional techniques. This book, written in an easily accessible style, assumes that students have a (...)
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  16.  15
    Using fuzzy logic: towards intelligent systems.Jun Yan - 1994 - New York: Prentice-Hall. Edited by Michael Ryan & James Power.
    A clear account of the principles of fuzzy logic-based design, from a computer/electronics engineering perspective. This pedagogical work incorporates current fuzzy logic techniques, emphasizing hardware/software design for fuzzy systems and fuzzy logic development tools.
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  17.  8
    Fuzzy logic-based material selection and synthesis.Mustafa B. Babanli - 2018 - New Jersey: World Scientific.
    This unique compendium presents a comprehensive and self-contained theory of material development under imperfect information and its applications. The book describes new approaches to synthesis and selection of materials with desirable characteristics. Such approaches provide the ability of systematic and computationally effective analysis in order to predict composition, structure and related properties of new materials. The volume will be a useful advanced textbook for graduate students. It is also suitable for academicians and practitioners who wish to have fundamental models (...)
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  18.  76
    Behavioral Factors Affecting Students’ Intentions to Enroll in Business Ethics Courses: A Comparison of the Theory of Planned Behavior and Social Cognitive Theory Using Self-Identity as a Moderator.Pi-Yueh Cheng & Mei-Chin Chu - 2014 - Journal of Business Ethics 124 (1):35-46.
    The current study used both Ajzen’s theory of planned behavior (TPB) and Bandura’s social cognitive theory (SCT) to examine the intentions of business undergraduate students toward taking elective ethics courses and investigated the role of self-identity in this process. The study was prospective in design; data on predictors and intentions were obtained during the first collection of data, whereas the actual behavior was assessed 10 days later. Our results indicated that the TPB was a better predictor of behavioral intentions (...)
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  19.  20
    Handling Uncertainty in Controllers Using Type-2 Fuzzy Logic.R. Sepulveda, O. Castillo, P. Melin, O. Montiel & A. Rodríguez-Díaz - 2005 - Journal of Intelligent Systems 14 (2-3):237-262.
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  20. Truth transformation fuzzy logic controllers: Outlines of the design of a new generation of fuzzy controllers.L. H. Sultan & T. H. Janabi - 1991 - Ai 1991 Frontiers in Innovative Computing for the Nuclear Industry Topical Meeting, Jackson Lake, Wy, Sept. 15-18, 1991 1.
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  21.  25
    Detection of forest fires outbreaks by dynamic fuzzy logic controller.Josué Toledo-Castro, Nayra Rodríguez-Pérez, Pino Caballero-Gil, Iván Santos-González, Candelaria Hernández-Goya & Ricardo Aguasca-Colomo - forthcoming - Logic Journal of the IGPL.
    The use of wireless sensor networks and the Internet of things to detect forest fire outbreaks may help to reduce the response time and avoid natural disasters. This work proposes the deployment of WSN to enhance the real-time monitoring of dynamic variables such as polluting gases, temperature or the presence of fire flames by infrared. In addition, the activation of forest fire alerts if environmental status may involve evidence of a recent fire outbreak. A fuzzy-based controller is implemented to (...)
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  22.  18
    Neural Networks in Legal Theory.Vadim Verenich - 2024 - Studia Humana 13 (3):41-51.
    This article explores the domain of legal analysis and its methodologies, emphasising the significance of generalisation in legal systems. It discusses the process of generalisation in relation to legal concepts and the development of ideal concepts that form the foundation of law. The article examines the role of logical induction and its similarities with semantic generalisation, highlighting their importance in legal decision-making. It also critiques the formal-deductive approach in legal practice and advocates for more adaptable models, incorporating fuzzy logic, (...)
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  23.  17
    The Experiential Self Re-Creates Itself in Others via the Enlargement of the Self’s Space-Control Ability: Dan Zahavi's Arguments for the Existence of the Self.Đỗ Kiên Trung - 2019 - Labyrinth: An International Journal for Philosophy, Value Theory and Sociocultural Hermeneutics 21 (1):156-166.
    The diversity and complexity of the arguments and criticisms among philosophers on the question of the actual existence of the self can be condensed into two contrasting issues: The self is an experienced phenomenon that is generalized into a concept to assign to the cognitive subject as a tool for identification, or the self has its own existence as a transcendental entity that is activated and developed through interactions between the cognitive subject and the environment. Dan Zahavi (...)
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  24.  32
    University Lecturers' Intention to Teach an Ethics Course: A Test of Competing Models. [REVIEW]Pi-Yueh Cheng - 2015 - Journal of Business Ethics 126 (2):1-12.
    Business ethics are the moral principles that apply to all aspects of the business environment at an individual and organizational level. This study addresses the basic perceptions regarding the teaching of business ethics and examines university lecturers’ intentions to teach an ethics course. For the present research, the authors conducted a cross study to evaluate whether three variations of the theory of planned behavior, namely, TPB, decomposed TPB (DTPB), and the revised theory of planned behavior (RTPB), could adequately predict teaching (...)
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  25.  80
    Forest Fire Prevention, Detection, and Fighting Based on Fuzzy Logic and Wireless Sensor Networks.Josué Toledo-Castro, Pino Caballero-Gil, Nayra Rodríguez-Pérez, Iván Santos-González, Candelaria Hernández-Goya & Ricardo Aguasca-Colomo - 2018 - Complexity 2018:1-17.
    Huge losses and serious threats to ecosystems are common consequences of forest fires. This work describes a forest fire controller based on fuzzy logic and decision-making methods aiming at enhancing forest fire prevention, detection, and fighting systems. In the proposal, the environmental monitoring of several dynamic risk factors is performed with wireless sensor networks and analysed with the proposed fuzzy-based controller. With respect to this, meteorological variables, polluting gases and the oxygen level are measured in real time to (...)
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  26.  44
    Robust Fractional-Order PID Controller Tuning Based on Bode’s Optimal Loop Shaping.Lu Liu & Shuo Zhang - 2018 - Complexity 2018:1-14.
    This paper presents a novel fractional-order PID controller tuning strategy based on Bode’s optimal loop shaping which is commonly used for LTI feedback systems. Firstly, the controller parameters are achieved based on flat phase property and Bode’s optimal reference model, so that the controlled system is robust to gain variations and can achieve desirable transient performance according to various control requirements. Then, robustness analysis of the controlled system is carried out to support the results. Furthermore, the parameter setting is (...)
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  27.  29
    Decentralized fuzzy linguistic control of multiple robotic manipulators with guaranteed global stability.Yongqing Fan, Wenqing Wang, Xiangkui Jiang & Zhen Li - 2019 - Interaction Studies 20 (1):185-204.
    A decentralized adaptive control based on human linguistic is investigated to learn human behaviors for multiple robotic manipulators. Many experts’ words or sentences can be transferred into the control actions by employing membership functions in robot systems, which can be synthesized fuzzy controller by employing reasoning mechanism. For the unknown model dynamical robot manipulators, one adjustable parameter that relates to the approximation accuracy of fuzzy logic systems is introduced at first, which be utilized to deal with the unknown (...)
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  28.  31
    Four-Area Load Frequency Control of an Interconnected Power System Using Neuro-Fuzzy Hybrid Intelligent Proportional and Integral Control Approach.Sunil Kumar Sinha & Surya Prakash Giri - 2013 - Journal of Intelligent Systems 22 (2):131-153.
    This article presents a novel control approach, hybrid neuro-fuzzy, for the load frequency control of a four-area interconnected power system. The advantage of this controller is that it can handle nonlinearities, and at the same time, it is faster than other existing controllers. The effectiveness of the proposed controller in increasing the damping of local and inter-area modes of oscillation is demonstrated in a four-area interconnected power system. Areas 1 and 2 consist of a thermal reheat power plant, whereas (...)
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  29.  7
    Learning how to learn by self-tuning reinforcement.Christian Torsell & Jeffrey A. Barrett - 2024 - Synthese 203 (6):1-17.
    Humans and many animals are capable of learning and learning how to learn better. We are concerned here with one way that reinforcement learners might learn how to learn better. In an experiment described by Harlow in (Psychol Rev 56:51–65, 1949) a group of rhesus monkeys learn a new way of learning in the context of a specific type of problem. We will consider how such agents might coevolve a new learning dynamics and new attendant saliences. To this end, we (...)
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  30.  44
    Fuzzy Adaptation Algorithms’ Control for Robot Manipulators with Uncertainty Modelling Errors.Yongqing Fan, Keyi Xing & Xiangkui Jiang - 2018 - Complexity 2018:1-8.
    A novel fuzzy control scheme with adaptation algorithms is developed for robot manipulators’ system. At the beginning, one adjustable parameter is introduced in the fuzzy logic system, the robot manipulators system with uncertain nonlinear terms as the master device and a reference model dynamic system as the slave robot system. To overcome the limitations such as online learning computation burden and logic structure in conventional fuzzy logic systems, a parameter should be used in fuzzy logic system, (...)
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  31.  20
    Emotional State of Chinese Healthcare Workers During COVID-19 Pandemic.Minggang Jiang, Xu Shao, Shengyi Rao, Yu Ling, Zhilian Pi, Yongqiang Shao, Shuaixiang Zhao, Li Yang, Huiming Wang, Wei Chen & Jinsong Tang - 2022 - Frontiers in Psychology 13.
    ObjectiveAnti-epidemic work against coronavirus disease has become routine work in China. Our study was intended to investigate the emotional and psychological state of healthcare workers and look for the association between sociodemographic factors/profession-related condition and emotional state.MethodsA cross-sectional survey was conducted online among healthcare workers from various backgrounds. Symptoms of anxiety and depression were assessed by the Chinese versions of the seven-item Generalized Anxiety Disorder and the nine-item Patient Health Questionnaire, respectively. Supplementary questions were recorded to describe the participants’ information (...)
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  32. L. A. Zadeh. Fuzzy sets. Information and control, vol. 8 , pp. 338–353. - L. A. Zadeh. Similarity relations and fuzzy orderings. Information sciences, vol. 3 , pp. 177–200. [REVIEW]J. A. Goguen - 1973 - Journal of Symbolic Logic 38 (4):656-657.
  33.  22
    Adaptive Fuzzy Cooperative Control for Nonlinear Multiagent Systems with Unknown Control Coefficient and Actuator Fault.Xin Deng, Xiaoping Liu, Yang Cui & Cungen Liu - 2021 - Complexity 2021:1-11.
    In this paper, an adaptive fuzzy containment condtrol is considered for nonlinear multiagent systems, in which it contains the unknown control coefficient and actuator fault. The uncertain nonlinear function has been approximated by fuzzy logic system. The unknown control coefficient and the remaining control rate of actuator fault can be solved by introducing a Nussbaum function. In order to avoid the repeated differentiations of the virtual controllers, first-order filters are added to the traditional backstepping control method. By designing (...)
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  34.  49
    Evolution of Annular Self-controlled Electron–Nucleus Collapse in Condensed Targets.S. V. Adamenko & V. I. Vysotskii - 2004 - Foundations of Physics 34 (11):1801-1831.
    We considered peculiarities of the evolution of a region with sharp boundaries that is filled with a partially ionized plasma and is a part of the volume of a condensed target. The creation of such a region in the near-surface layer of the target can be related to the action of an external impulse symmetric ionizator or to the action of an intense small-extension shock wave on the target surface. We defined the conditions such that their fulfilment during the establishment (...)
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  35.  21
    Disturbance-Observer-Based Fuzzy Control for a Robot Manipulator Using an EMG-Driven Neuromusculoskeletal Model.Longbin Zhang, Wen Qi, Yingbai Hu & Yue Chen - 2020 - Complexity 2020:1-10.
    Robot manipulators have been extensively used in complex environments to complete diverse tasks. The teleoperation control based on human-like adaptivity in the robot manipulator is a growing and challenging field. This paper developed a disturbance-observer-based fuzzy control framework for a robot manipulator using an electromyography- driven neuromusculoskeletal model. The motion intention was estimated by the EMG-driven NMS model with EMG signals and joint angles from the user. The desired torque was transmitted into the desired velocity for the robot manipulator (...)
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  36. A Hybrid Fuzzy Wavelet Neural Network Model with Self-Adapted Fuzzy c-Means Clustering and Genetic Algorithm for Water Quality Prediction in Rivers.Mingzhi Huang, Hongbin di TianLiu, Chao Zhang, Xiaohui Yi, Jiannan Cai, Jujun Ruan, Tao Zhang, Shaofei Kong & Guangguo Ying - 2018 - Complexity 2018:1-11.
    Water quality prediction is the basis of water environmental planning, evaluation, and management. In this work, a novel intelligent prediction model based on the fuzzy wavelet neural network including the neural network, the fuzzy logic, the wavelet transform, and the genetic algorithm was proposed to simulate the nonlinearity of water quality parameters and water quality predictions. A self-adapted fuzzy c-means clustering was used to determine the number of fuzzy rules. A hybrid learning algorithm based on (...)
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  37.  42
    Why was a Fuzzy Model so Successful in Physical Organic Chemistry?F. Michael Akeroyd - 2000 - Hyle 6 (2):161 - 173.
    This paper examines a facet of the rise of the Hughes-Ingold Theory of Nucleophilic Substitution in Organic Chemistry 1933-1942, arguing that the SN1/SN2 model of reaction mechanism used by Hughes and Ingold is an example of a fuzzy model. Many real world 'Fuzzy Logic' Controlling Devices gave better results compared to classical logic controlling devices in the period 1975-1985. I propose that the adoption of fuzzy principles in the Hughes-Ingold program 1933-1940 led to scientific advance at a (...)
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  38.  59
    Fuzzy Trace Theory and Medical Decisions by Minors: Differences in Reasoning between Adolescents and Adults.E. A. Wilhelms & V. F. Reyna - 2013 - Journal of Medicine and Philosophy 38 (3):268-282.
    Standard models of adolescent risk taking posit that the cognitive abilities of adolescents and adults are equivalent, and that increases in risk taking that occur during adolescence are the result of socio emotional differences in impulsivity, sensation seeking, and lack of self-control. Fuzzy-trace theory incorporates these socio emotional differences. However, it predicts that there are also cognitive differences between adolescents and adults, specifically that there are developmental increases in gist-based intuition that reflects understanding. Gist understanding, as opposed to (...)
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  39.  18
    Conventional controller design based on Takagi–Sugeno fuzzy models.Jana Nowaková, Miroslav Pokorný & Martin Pieš - 2015 - Journal of Applied Logic 13 (2):148-155.
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  40.  73
    Truth, Rationality, and Self-Control: Themes from Peirce.Douglas Anderson - 2002 - Philosophical Review 111 (2):288-291.
    Truth, Rationality, and Self-Control incorporates work from seven previously published essays and five chapters of new material. Sometimes collections of this sort lack continuity. This is not the case with Hookway’s text. With only a few minor exceptions, the essays work well together, developing ideas in increments as the text unfolds. Although Hookway offers no single theme as the book’s project, his decision to focus on Charles Peirce’s notions of truth, rationality, and pragmatism indicates an investigation of Peirce’s overall (...)
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  41. Applications of Intelligent Systems-Intelligent Signal Processing, Control and Robotics-Designing a Self-adaptive Union-Based Rule-Antecedent Fuzzy Controller Based on Two Step Optimization.Chang-Wook Han & Jung-Il Park - 2006 - In O. Stock & M. Schaerf (eds.), Lecture Notes In Computer Science. Springer Verlag. pp. 4251--850.
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  42. Some guidelines for fuzzy sets application in legal reasoning.Jacky Legrand - 1999 - Artificial Intelligence and Law 7 (2-3):235-257.
    As an introduction to our work, we emphasize the parallel interpretation of abstract tools and the concepts of undetermined and vague information. Imprecision, uncertainty and their relationships are inspected. Suitable interpretations of the fuzzy sets theory are applied to legal phenomena in an attempt to clearly circumscribe the possible applications of the theory. The fundamental notion of reference sets is examined in detail, hence highlighting their importance. A systematic and combinatorial classification of the relevant subsets of the legal field (...)
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  43. The Logic of Action and Control.Leona Mollica - 2023 - Journal of Philosophical Logic 52 (5):1237-1268.
    In this paper I propose and motivate a logic of the interdefined concepts of making true and control, understood as intensional propositional operators to be indexed to an agent. While bearing a resemblance to earlier logics in the tradition, the motivations, semantics, and object language theory differ on crucial points. Applying this logic to widespread formal theories of agency, I use it as a framework to argue against the ubiquitous assumption that the strongest actions or options available to a given (...)
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  44.  2
    On the Pi-calculus and Linear Logic.Gianluigi Bellin & P. J. Scott - 1992 - LFCS, Department of Computer Science, University of Edinburgh.
    "We detail Abramsky's 'proofs-as-processes" paradigm for interpreting classical linear logic (CCL) [11] into a 'synchronous' version of the [pi]-calculus recently proposed by Milner [24]. The translation is given at the abstract level of proof structures. We give a detailed treatment of information flow in proof-nets and show how to mirror various evaluation strategies for proof normalization. We also give Soundness and Completeness results for the process-calculus translations of various fragments of CLL. The paper also gives a self-contained introduction to (...)
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  45. Logic, Metalogic and Neutrality.Timothy Williamson - 2013 - Erkenntnis 79 (2):211-231.
    The paper is a critique of the widespread conception of logic as a neutral arbiter between metaphysical theories, one that makes no `substantive’ claims of its own (David Kaplan and John Etchemendy are two recent examples). A familiar observation is that virtually every putatively fundamental principle of logic has been challenged over the last century on broadly metaphysical grounds (however mistaken), with a consequent proliferation of alternative logics. However, this apparent contentiousness of logic is often treated as though it were (...)
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  46. Political Poetry: A Few Notes. Poetics for N30.Jeroen Mettes - 2012 - Continent 2 (1):29-35.
    continent. 2.1 (2012): 29–35. Translated by Vincent W.J. van Gerven Oei from Jeroen Mettes. "Politieke Poëzie: Enige aantekeningen, Poëtica bij N30 (versie 2006)." In Weerstandbeleid: Nieuwe kritiek . Amsterdam: De wereldbibliotheek, 2011. Published with permission of Uitgeverij Wereldbibliotheek, Amsterdam. L’égalité veut d’autres lois . —Eugène Pottier The modern poem does not have form but consistency (that is sensed), no content but a problem (that is developed). Consistency + problem = composition. The problem of modern poetry is capitalism. Capitalism—which has no (...)
     
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  47.  92
    “Prototypes” and “fuzziness” in the logic of concepts.Gy Fuhrmann - 1988 - Synthese 75 (3):317 - 347.
    Prototypes and fuzziness are regarded in this paper as fundamental phenomena in the inherent logic of concepts whose relationship, however, has not been sufficiently clarified. Therefore, modifications are proposed in the definition of both. Prototypes are defined as the elements possessing maximal degree of membership in the given category such thatthis membership has maximal cognitive efficiency in representing theelement. A modified fuzzy set (m-fuzzy set) is defined on aclass (possibly self-contradictory collection) such that its core (the collection (...)
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  48.  33
    Introduction.Paul Standish - 2022 - The Pluralist 17 (1):96-99.
    It Is My Pleasure To Introduce this discussion of Naoko Saito's American Philosophy in Translation. We have contributions from three experts in American philosophy, all of whom have been in conversation with the author for many years: Jim Garrison, Vincent Colapietro, and Steven Fesmire. Prior to their contributions, I would like to set the scene with some brief remarks to introduce the book and to explain something of its background.Over the past two decades, I have worked closely with Saito on (...)
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  49. Objects as Temporary Autonomous Zones.Tim Morton - 2011 - Continent 1 (3):149-155.
    continent. 1.3 (2011): 149-155. The world is teeming. Anything can happen. John Cage, “Silence” 1 Autonomy means that although something is part of something else, or related to it in some way, it has its own “law” or “tendency” (Greek, nomos ). In their book on life sciences, Medawar and Medawar state, “Organs and tissues…are composed of cells which…have a high measure of autonomy.”2 Autonomy also has ethical and political valences. De Grazia writes, “In Kant's enormously influential moral philosophy, autonomy (...)
     
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    Introduction.Ullrich Melle - 2007 - Ethical Perspectives 14 (4):361-370.
    IntroductionIn May 2006, the small group of doctoral students working on ecophilosophy at the Higher Institute of Philosophy at K.U.Leuven invited the Dutch environmental philosopher Martin Drenthen to a workshop to discuss his writings on the concept of wilderness, its metaphysical and moral meaning, and the challenge social constructivism poses for ecophilosophy and environmental protection. Drenthen’s publications on these topics had already been the subject of intense discussions in the months preceding the workshop. His presentation on the workshop and the (...)
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