A central goal of typological research is to characterize linguistic features in terms of both their functional role and their fit to social and cognitive systems. One long-standing puzzle concerns why certain languages employ grammatical gender. In an information theoretic analysis of German noun classification, Dye, Milin, Futrell, and Ramscar enumerated a number of important processing advantages gender confers. Yet this raises a further puzzle: If gender systems are so beneficial to processing, what does this mean for languages that make (...) do without them? Here, we compare the communicative function of gender marking in German to that of prenominal adjectives in English, finding that despite their differences, both systems act to efficiently smooth information over discourse, making nouns more equally predictable in context. We examine why evolutionary pressures may favor one system over another and discuss the implications for compositional accounts of meaning and Gricean principles of communication. (shrink)

In this paper, a complex non- linear programming problem with the two parts (real and imaginary) is considered. The efficient and proper efficient solutions in terms of optimal solutions of related appropriate scalar optimization problems are characterized. Also, the Kuhn-Tuckers' conditions for efficiency and proper efficiency are derived. This paper is divided into two independently parts: The first provides the relationships between the optimal solutions of a complex single-objective optimization problem and solutions of two related real (...) programming problems. The second part is concerned with the theory of a multi-objective optimization in complex space. (shrink)

This article attempts to study cost minimizing multi-objective fractional solid transportation problem with fuzzy cost coefficients c ˜ i j k r {\tilde{c}}_{ijk}^{r}, fuzzy supply quantities a ˜ i {\tilde{a}}_{i}, fuzzy demands b ˜ j {\tilde{b}}_{j}, and/or fuzzy conveyances e ˜ k {\tilde{e}}_{k}. The fuzzy efficient concept is introduced in which the crisp efficient solution is extended. A necessary and sufficient condition for the solution is established. Fuzzy geometric programming approach is applied to solve the crisp (...) class='Hi'>problem by defining membership function so as to obtain the optimal compromise solution of a multi-objective two-stage problem. A linear membership function for the objective function is defined. The stability set of the first kind is defined and determined. A numerical example is given for illustration and to check the validity of the proposed approach. (shrink)

Due to the huge amount of data being generating from different sources, the analyzing and extracting of useful information from these data becomes a very complex task. The difficulty of dealing with big data optimization problems comes from many factors such as the high number of features, and the existing of lost data. The feature selection process becomes an important step in many data mining and machine learning algorithms to reduce the dimensionality of the optimization problems and increase the performance (...) of the classification or clustering algorithms. In this paper, a set of hybrid and efficient genetic algorithms are proposed to solve feature selection problem, when the handled data has a large feature size. The proposed algorithms use a new gene-weighted mechanism that can adaptively classify the features into strong relative features, weak or redundant features, and unstable features during the evolution of the algorithm. Based on this classification, the proposed algorithm gives the strong features high priority and the weak features less priority when generating new candidate solutions. In the same time, the proposed algorithm tries to more concentrate on unstable features that sometimes appear and sometimes disappear from the best solutions of the population. The performance of proposed algorithms is investigated by using different datasets and feature selection algorithms. The results show that our proposed algorithms can outperform the other feature selection algorithms and effectively enhance the classification performance over the tested datasets. (shrink)

Technological developments in recent years have brought about a rapid increase in the number and variety of organ transplants, leading to problems in finding enough organs to meet the need. Organ transplantation has also become a particularly significant issue in medical ethics, especially regarding the question of how and from whom organs are procured. Many methods have been tried in order to solve these problems and discussed from an ethical perspective. This study investigates the Spanish, Belgian and Iranian approaches to (...) solving the organ procurement problem. The Spanish model, which is based on persuading patients and their relatives, is ethically less problematic and is also an improved version of the model applied in Turkey. This study argues that an ideal solution can be found without disregarding ethical rules. In particular, nurses can contribute by helping to run the system more efficiently. The principal aim of this article is to demonstrate the contribution of nurses to solving the current organ procurement problem in Turkey and offer some reflections on what can be done to improve the efficiency of the system. (shrink)

As liberal democracies, what can the United States, Europe, and Japan be expected to embrace as “democratic” solutions to global environmental problems such as climate change? It is our argument that contradictions in liberal democratic politics lead these states to advocate solutions that are nature-as-commodity oriented and that idealize the notion of “managed nature.” In the case of climate change, we specifically argue that liberal democracies can be expected to pursue a policy regime of “efficient global warming.”.

As many philosophers agree, the frame problem is concerned with how an agent may efficiently filter out irrelevant information in the process of problem-solving. Hence, how to solve this problem hinges on how to properly handle semantic relevance in cognitive modeling, which is an area of cognitive science that deals with simulating human's cognitive processes in a computerized model. By "semantic relevance", we mean certain inferential relations among acquired beliefs which may facilitate information retrieval and practical reasoning (...) under certain epistemic constraints, e. g., the insufficiency of knowledge, the limitation of time budget, etc. However, traditional approaches to relevance—as for example, relevance logic, the Bayesian approach, as well as Description Logic—have failed to do justice to the foregoing constraints, and in this sense, they are not proper tools for solving the frame problem/relevance problem. As we will argue in this paper, Non-Axiomatic Reasoning System (NARS) can handle the frame problem in a more proper manner, because the resulting solution seriously takes epistemic constraints on cognition as a fundamental theoretical principle. (shrink)

The constraint-handling methods using multiobjective techniques in evolutionary algorithms have drawn increasing attention from researchers. This paper proposes an efficient conical area differential evolution algorithm, which employs biased decomposition and dual populations for constrained optimization by borrowing the idea of cone decomposition for multiobjective optimization. In this approach, a conical subpopulation and a feasible subpopulation are designed to search for the global feasible optimum, along the Pareto front and the feasible segment, respectively, in a cooperative way. In particular, the conical (...) subpopulation aims to efficiently construct and utilize the Pareto front through a biased cone decomposition strategy and conical area indicator. Neighbors in the conical subpopulation are fully exploited to assist each other to find the global feasible optimum. Afterwards, the feasible subpopulation is ranked and updated according to a tolerance-based rule to heighten its diversity in the early stage of evolution. Experimental results on 24 benchmark test cases reveal that CADE is capable of resolving the constrained optimization problems more efficiently as well as producing solutions that are significantly competitive with other popular approaches. (shrink)

In this note, I provide an axiomatic characterization of the relative utilitarian bargaining solution to Nash bargaining problems. The solution is obtained when Nash’s independence of irrelevant alternatives axiom is replaced by the weak linearity axiom, while retaining the other three axioms. RU maximizes the sum of proportional gains, or, equivalently, minimizes the sum of proportional losses. RU is scale invariant and compared to the Nash and Kalai and Smorodinsky solutions, it is ex ante efficient when the bargaining (...) problem is considered as a lottery of future bargaining problems. (shrink)

We identify two pragmatic problems in temporal reasoning, the qualification problem and the extended prediction problem, the latter subsuming the infamous frame problem. Solutions to those seem to call for nonmonotonic inferences, and yet naive use of standard nonmonotonic logics turns out to be inappropriate. Looking for an alternative, we first propose a uniform approach to constructing and understanding nonmonotonic logics. This framework subsumes many existing nonmonotonic formalisms, and yet is remarkably simple, adding almost no extra baggage (...) to traditional logic. We then use this framework to propose a solution to the qualification problem. We also outline a solution to the extended prediction problem, and speculate on a possible connection between the above discussion and the concept of causation. (shrink)

The problem of cortical integration is described and various proposed solutions, including grandmother cells, cell assemblies, feed-forward structures, RAAM and synchronization, are reviewed. One method, involving complex attractors, that has received little attention in the literature, is explained and developed. I call this binding through annexation. A simulation study is then presented which suggests ways in which complex attractors could underlie our capacity to reason. The paper ends with a discussion of the efficiency and biological plausibility of the (...) proposals as integration mechanisms for different regions and functions of the brain. (shrink)

Ockham’s razor is the principle that, all other things being equal, scientists ought to prefer simpler theories. In recent years, philosophers have argued that simpler theories make better predictions, possess theoretical virtues like explanatory power, and have other pragmatic virtues like computational tractability. However, such arguments fail to explain how and why a preference for simplicity can help one find true theories in scientific inquiry, unless one already assumes that the truth is simple. One new solution to that (...) class='Hi'>problem is the Ockham efficiency theorem, which states that scientists who heed Ockham’s razor retract their opinions less often and sooner than do their non-Ockham competitors. The theorem neglects, however, to consider competitors following random strategies and in many applications random strategies are known to achieve better worst-case loss than deterministic strategies. In this paper, we describe two ways to extend the result to a very general class of random, empirical strategies. The first extension concerns expected retractions, retraction times, and errors and the second extension concerns retractions in chance, times of retractions in chance, and chances of errors. (shrink)

From an object-oriented perspective, this paper investigates the interdisciplinary aspects of problem representation as well the differences between representation of problems in the mind and that in the machine. By defining an object as a combination of a symbol-structure and its associated operations, it shows how the representation of problems can become related to control, which conducts the search in finding a solution. Different types of representation of problems in the machine are classified into four categories, and in (...) a similar way four distinct models are distinguished for the representation of problems in the mind. The concept of layered hierarchies, as the main theme of the object-oriented paradigm, is used to examine the implications of problem representation in the mind for improving the representation of problems in the machine. (shrink)

Michael Ravvin, Department of Political Science, Columbia University, 420 W. 118th Street, New York, NY 10027 Email: mer2133{at}columbia.edu ' + u + '@' + d + ' '//--> Abstract The existing intellectual property regime discourages the innovation of, and access to, essential medicines for the poor in developing countries. A successful proposal to reform the existing system must address these challenges of access and innovation. This essay will survey the problems in the existing pharmaceutical patent system and offer critical analysis (...) of some reform proposals. I will argue that existing mechanisms that are intended to mitigate the harms of the current pharmaceutical patent system, such as bulk buying, differential pricing and compulsory licenses, are inadequate and perhaps even counter-productive over the long-term. Other incentive mechanisms based on push funding, such as government research grants, are inefficient and limited in scope. Pull mechanisms, which offer some reward for successful pharmaceutical innovations, offer a more promising incentive mechanism. I will evaluate three pull mechanisms -- Priority Review Vouchers, Advance Market Commitment (AMC) and the Health Impact Fund -- on the basis of their capacity to incentivize access and innovation, as well as their efficiency and political feasibility. Though the Health Impact Fund appears to be the most promising proposal, more work must be done to overcome challenges of its implementation. CiteULike Connotea Del.icio.us What's this? (shrink)

It is a supreme irony that given the requirement for rebellious creativity, organizations discourage individuality. Accordingly, these cases of creative rebellion contain the seeds of a more informed criticism of the dominant management paradigm. The conventional notion of efficiency is questioned. The concept of moral efficiency is explained. The cases examined describe and analyze: (1) Refusal to concur with the findings of an aircraft accident report that covers up senior officer management weakness. (2) Falsification of data in order (...) to overcome the dysfunctional impact of a management information system. A deconstruction of these stories suggests theoretical as well as practical tension between the dominant normative management paradigm and the manner in which an innovative perspective of individual ethics pushes toward adaptive solutions to problems that cannot be solved by orthodoxy. (shrink)

The subject of causality appears in many of the solutions proposed by Duns Scotus on various philosophical problems, such as voluntary act, and theological problems, as the divine dispensation of grace in the sacraments. This paper shows the kinds of causes and causality which are involved in the actual act of intellection. It focuses on the concept of essential order as the source of the different kinds of causal concurrence, and applies this concept to the act of actual intellection, interpreting (...) it according to the idea of unitas ordinis. (shrink)

We study how to partition a set of agents in a stable way when each coalition in the partition has to share a unit of a perfectly divisible good, and each agent has symmetric single-peaked preferences on the unit interval of his potential shares. A rule on the set of preference profiles consists of a partition function and a solution. Given a preference profile, a partition is selected and as many units of the good as the number of coalitions (...) in the partition are allocated, where each unit is shared among all agents belonging to the same coalition according to the solution. A rule is stable at a preference profile if no agent strictly prefers to leave his coalition to join another coalition and all members of the receiving coalition want to admit him. We show that the proportional solution and all sequential dictator solutions admit stable partition functions. We also show that stability is a strong requirement that becomes easily incompatible with other desirable properties like efficiency, strategy-proofness, anonymity, and non-envyness. (shrink)

This paper proposes a learning-efficiency explanation of modular structure in language. An optimal grammar arises as the solution to the problem of learning a language from a minimal number of observations of instances of the use of the language. Agents face symmetry constraints that limit their ability to make a priori distinctions among symbols used in the language and among objects (interpreted as facts, events, speaker’s intentions) that are to be represented by messages in the language. It (...) is shown that if it is commonly known that the object space is modular and messages are strings, then modularity of the language is sufficient and (essentially) necessary for learning efficiency. Journal of Economic Literature Classification Number: C72. (shrink)

When asked to explain their solutions to a problem, both adults and children gesture as they talk. These gestures at times convey information that is not conveyed in speech and thus reveal thoughts that are distinct from those revealed in speech. In this study, we use the classic Tower of Hanoi puzzle to validate the claim that gesture and speech taken together can reflect the activation of two cognitive strategies within a single response. The Tower of Hanoi is a (...) well‐studied puzzle, known to be most efficiently solved by activating subroutines at theoretically defined choice points. When asked to explain how they solved the Tower of Hanoi puzzle, both adults and children produced significantly more gesture‐speech mismatches—explanations in which speech conveyed one path and gesture another—at these theoretically defined choice points than they produced at non‐choice points. Even when the participants did not solve the problem efficiently, gesture could be used to indicate where the participants were deciding between alternative paths. Gesture can, thus, serve as a useful adjunct to speech when attempting to discover cognitive processes in problem‐solving. (shrink)

One way to learn about the world is by asking questions. We investigate how younger children (7- to 8-year-olds), older children (9- to 11-year-olds), and young adults (17- to 18-year-olds) ask questions to identify the cause of an event. We find a developmental shift in children’s reliance on hypothesis-scanning questions (which test hypotheses directly) versus constraint-seeking questions (which reduce the space of hypotheses), but also that all age groups ask more constraint-seeking questions when hypothesis-scanning questions are least likely to pay (...) off: When the solution is one among equally likely alternatives (Study 1) or when the problem is difficult (Studies 1 and 2). These findings are the first to demonstrate that even young children dynamically adapt their strategies for inquiry to increase the efficiency of information search. (shrink)

Technology corporations and the emerging digital health market are exerting increasing influence over the public healthcare agendas forming around the application of mobile medical devices. By promising quick and cost-effective technological solutions to complex healthcare problems, they are attracting the interest of funders, researchers, and policymakers. They are also shaping the public facing discourse, advancing an overwhelmingly positive narrative predicting the benefits of wearable medical devices to include personalised medicine, improved efficiency and quality of care, the empowering of under-resourced (...) communities, and delivery of health services previously unavailable to the citizens of developing countries. Typically techno-optimist in their description, the key barriers to this impending inflection point in healthcare are identified as technical issues such as short battery life and a lack of data protection. However, this tech innovation narrative is consistent with problematic ethical, social, and political assumptions that have practical and normative effects, and risk, one, undermining the real clinical potential of wearable devices and, two, designing social inequality and injustice into our mobile health interventions in global healthcare. I argue that the foundational assumptions dealing with the just distribution of healthcare ‘goods’, the individual as part of society, and the political framing of future healthcare policy devalue equity and despite what they promise cannot meet the distinctive needs of individuals and groups that do not conform to a standardised concept of care-receiver. (shrink)

The economic importance of optimizing the environmental situation from the perspective of an entrepreneur are assessed in the article. The classification of administrative decisions taken in the course of the business activities is proposed. The authors identified a group of solutions directly providing optimization of environment external to the enterprise, solutions that have an indirect positive impact on the environment and solutions that improve ecology of industrial premises. The nature of economic effect of resulting solutions of various types is taken (...) into account. Vectors of influence of working conditions on the economic results of business activities are described. The nature and strength of the impact of model management decisions results of business activities are defined. Key performance indicators of entrepreneurial activity are identified: employee productivity, the amount of revenue and profitability, solvency, staff stability, the competitiveness of enterprises. Grouping the costs of ecological parameters optimization of the production environment is proposed. Relationship between level of working conditions and socio-psychological climate in the collective enterprise is disclosed. The methods of motivation of entrepreneurs in solving of environmental, production problems are considered. The role of training entrepreneurs engaged of medium and small businesses are underlined especially. Thus, in the article the relationship between environmental and economic problems of entrepreneurial activity is investigated. Role and opportunities of entrepreneurs in solving these problems are defined and structured. (shrink)

In a supply chain system, the prices with which the suppliers supply its local commodity to the retailers should satisfy the requirements of the retailers and the consumers. The supply and demand scheme satisfying these requirements is reduced into fuzzy relation inequalities with min-product composition. Due to the difference between the min-product composition and the classical max-t-norm one, we first study the resolution of such min-product FRI system. For optimization management in the supply chain system, we further investigate a maximin (...) programming problem subject to the min-product FRIs. An algorithm is proposed to obtain the optimal solution based on the quasi-maximal matrix and corresponding index set. To illustrate the efficiency of our proposed algorithm, we provide a simple numerical example. The obtained optimal solution reflects an optimal pricing scheme, which maximizes the minimum prices of the commodity from the suppliers. (shrink)

The traveling salesman problem is one of the most important issues in combinatorial optimization problems that are used in many engineering sciences and has attracted the attention of many scientists and researchers. In this issue, a salesman starts to move from a desired node called warehouse and returns to the starting place after meeting n customers provided that each customer is only met once. The aim of this issue is to determine a cycle with a minimum cost for this (...) salesman. One of the major weaknesses of the PSO algorithm in the classical version is that it gets stuck in local optimizations. Therefore, in the proposed algorithm, called MPSO, the best solution in the current iteration is also used in the movement step. In addition, a variety of local search algorithms are provided that are used when better answers are generated than before. Also, a new method for moving the particle towards the best particle is presented, which, in addition to probably increasing the quality of the new answer, prevents the premature convergence of the algorithm due to consideration of the concept of random. The results evaluated with the results of several metaheuristic algorithms in the literature show the efficiency of the MPSO algorithm because it has been able to achieve excellent solutions in most of these instances. (shrink)

Explaining the connection, if any, between simplicity and truth is among the deepest problems facing the philosophy of science, statistics, and machine learning. Say that an efficient truth finding method minimizes worst case costs en route to converging to the true answer to a theory choice problem. Let the costs considered include the number of times a false answer is selected, the number of times opinion is reversed, and the times at which the reversals occur. It is demonstrated that (...) (1) always choosing the simplest theory compatible with experience, and (2) hanging onto it while it remains simplest, is both necessary and sufficient for efficiency. †To contact the author, please write to: Department of Philosophy, Carnegie Mellon University, Baker Hall 135, Pittsburgh, PA 15213-3890; e-mail: [email protected]. (shrink)

This paper proposes several concepts of efficient solutions for multicriteria decision problems under uncertainty. We show how alternative notions of efficiency may be grounded on different decision ‘contexts’, depending on what is known about the Decision Maker's (DM) preference structure and probabilistic anticipations. We define efficient sets arising naturally from polar decision contexts. We investigate these sets from the points of view of their relative inclusions and point out some particular subsets which may be especially relevant to some decision (...) situations. (shrink)

Over the last few years, a new methodology to address the P versus NP problem has been developed, based on searching for borderlines between the nonefficiency of computing models and the presumed efficiency. These borderlines can be seen as frontiers of efficiency, which are crucial in this methodology. “Translating,” in some sense, an efficient solution in a presumably efficient model to an efficient solution in a nonefficient model would give an affirmative answer to problem (...) P versus NP. In the framework of Membrane Computing, the key of this approach is to detect the syntactic or semantic ingredients that are needed to pass from a nonefficient class of membrane systems to a presumably efficient one. This paper deals with tissue P systems with communication rules of type symport/antiport allowing the evolution of the objects triggering the rules. In previous works, frontiers of efficiency were found in these kinds of membrane systems both with division rules and with separation rules. However, since they were not optimal, it is interesting to refine these frontiers. In this work, optimal frontiers of the efficiency are obtained in terms of the total number of objects involved in the communication rules used for that kind of membrane systems. These optimizations could be easier to translate, if possible, to efficient solutions in a nonefficient model. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Journal of the History of Philosophy 41.4 (2003) 559-560 [Access article in PDF] Elmar J. Kremer and Michael J. Latzer, editors. The Problem of Evil in Early Modern Philosophy. Toronto: University of Toronto Press, 2001. Pp. vi + 179. Cloth, $60.00. What can be added to classical defenses of the problem of evil? Did Voltairenotrelieve us from taking seriously the theodicies of early modern thinkers in Candide (...) when Pangloss avers that spectacles exist because noses were made to support them? Do we not rightfully regard Malebranche's ingenious appeal to God's simplicity and uniformity to explain malformed offspring as little more than a curiosity? Yet, the editors of this volume claim that the "theodicy problem was no mere idle puzzle of dogmatics, but a problem of immense social significance, a problem which cut to the heart of the philosophical and theological projects of the very best minds of the age" (5). Several essays in this volume bear out the editors' claim, and to a modern reader, show how the problem of evil was intricately woven into the philosophical ideas of early modern thought.The problem of evil is especially acute for many of the seventeenth-century authors surveyed in this volume who held that God is the total and efficient cause of the universe. God's constant involvement in physical events meant that defects, deformities, and natural disasters fell into the framework of the traditional problem of evil. Hence, physical evil became the preoccupation of natural philosophers and theologians alike. We learn that Leibniz, Malebranche, and Spinoza chose to limit God's will rather than His wisdom, whereas Descartes opted to limit God's wisdom. The odd man out is Bayle who crafted a third position that emphasized God's benevolence at the expense of His wisdom and will.The essays found in this volume are just a sampling of views in the period, but it is more than a good start. Freddoso's essay on Francisco Suarez sets the tone for the problem of explaining the causal origin of human evil. Freddoso shows how Suarez distinguished concurrent from original causes in order to credit God for His supreme causal role yet absolved Him of blame for the existence of moral defectiveness. Latzer, in his essay on Rene Descartes, perhaps overstates the case in attributing to Descartes a theodicy grander than that of Leibniz, but he draws on the Fourth Meditation account of error to provide a plausible and nuanced reconstruction of his views on evil.There are two essays on Baruch Spinoza. Hunter's essay lays out an argument for Spinoza as a radical Christian reformer touching on Spinoza's views on providence. Nadler notes in his essay that Spinoza ought to have rejected the whole question of theodicy as incoherent, but shows how the matter is a good deal more complicated. Nadler then introduces us to the Medieval Jewish tradition, from which Spinoza is said to have drawn his views leading to a denial of personal immortality. [End Page 559]Moreau's essay on Nicholas Malebranche is rich in historical context and philosophical interpretation. Malebranche is shown to be a critical and original thinker on the problem of evil. Moreau lauds Malebranche's philosophical and moral courage in his bold assertion that physical evil is not a negation but rather a real phenomenon requiring explanation.Larivière and Lennon argue that Bayle held a third position rarely seen in the period: that God's benevolence trumps considerations of both His wisdom and will. Bayle develops a "moral solution" to the problem of evil wherein God's benevolence requires that humans possess an autonomy of conscience whose exercise makes error and heresy morally possible and justifiable.The final three essays in the volume rightly focus on aspects of Leibniz's response to the problem of evil. Kremer shows how, in the case of Leibniz's treatment of the fate of infants who die unbaptized, Leibniz abandons the Augustinian approach to the problem of evil and calculates the fate of all creatures on the basis of what produces... (shrink)

A new series entitled Oxford Philosophical Concepts (OPC) made its debut in November 2014. As the series’ Editor Christia Mercer notes, this series is an attempt to respond to the call for and the tendency of many philosophers to invigorate the discipline. To that end each volume will rethink a central concept in the history of philosophy, e.g. efficient causation, health, evil, eternity, etc. “Each OPC volume is a history of its concept in that it tells a story about changing (...) solutions to specific philosophical problems” (xiii). The series presents itself as innovative along three main lines: its reexamination of the so-called “canon,” its reconsidering the value of interdisciplinary exchanges, and its encouraging philosophers to move beyond the current borders of philosophy. By engaging with non-Western traditions and carefully considering topics and materials which are not strictly philosophical, the collections from this series aim to render the history of philosophy accessible to a wide audience. -/- The first OPC volume to appear in print is “Efficient Causation – A History” edited by Tad Schmaltz. Using careful historical and philosophical analysis as well as interdisciplinary reflections this anthology proposes to tell the story of how efficient causation, equated nowadays with “causation” tout court, came to play its prominent role in our philosophical and scientific vocabulary. Eleven contributions cover the period from Ancient times (Aristotle and the Stoics), through the Middle Ages (both the Western and the Islamic traditions), passing through the Early Modern times (represented here by Descartes, Spinoza, Leibniz, Malebranche, Berkeley and Hume), all the way to Kant and finally contemporary philosophers (classified into two opposing camps: Humean and Neo-Aristotelian). There are also four reflections which explore the applications of the notion of efficient causation to areas different from philosophy, especially the arts (literature, music, painting, etc.). (shrink)

Product configuration is a key enabling technology for mass customization production. Previous studies mainly focus on the solving technologies for obtaining a feasible configuration or optimal configuration but ignore environmental factors like CO2 emissions, especially the environmental regulations from international organizations. In this article, we address product configuration optimization problems considering both carbon cap and carbon tax regulations. A two-stage approach that combines both Particle Swarm Optimization and a greedy algorithm is presented to solve the product configuration problems with carbon (...) emission concerns. A case study of a configurable ranger-drilling machine is illustrated to demonstrate the effectiveness of the presented approach. The impacts of carbon cap and carbon tax regulations on configuration results are compared. Further, the models are extended to analyze the effects of single-sourcing and multisourcing on product configuration. The analysis shows that multisourcing in combination with carbon tax regulation can facilitate a manufacturer to provide more green and low-carbon customized products for customers. Numerical experiments are conducted to validate the effectiveness of the model and the efficiency of the proposed solution method. (shrink)

We examined how children's strategy choices in solving complex subtraction problems are related to grade and to variations in problem complexity. In two studies, third- and fifth-grade children (N≈160 each study) solved multi-digit subtraction problems (e.g., 34–18) and described their solution strategies. In the first experiment, strategy selection was investigated by means of a free-choice paradigm, whereas in the second study a discrete-choice approach was implemented. In both experiments, analyses of strategy repertoire indicated that third-grade children were more (...) likely to report less-efficient strategies (i.e., counting) and relied more on the right-to-left solution algorithm compared to fifth-grade children who more often used efficient memory-based retrieval and conceptually-based left-to-right (i.e., decomposition) strategies. Nevertheless, all strategies were reported or selected by both older and younger children and strategy use varied with problem complexity and presentation format for both age groups. These results supported the overlapping waves model of strategy development and provide detailed information about patterns of strategy choice on complex subtraction problems. (shrink)

Negotiation between two individuals is a common task that typically involves two goals: maximize individual outcomes and obtain an agreement. However, research on the simplest negotiation tasks demonstrates that although naive subjects can be induced to improve their performance, they are often no more likely to achieve fully optimal solutions. The present study tested the prediction that a decrease in a particular type of argumentative behavior, substantiation, would result in an increase in optimal agreements. As substantiation behaviors depend primarily on (...) supplied content of the negotiation task, it was also predicted that substantiation behavior would be reduced by curtailing the content. A 2 × 2 experimental design was employed, where both negotiation tactics (list of tactics present versus absent) and negotiation task content (high versus low) were varied to determine the processes leading beyond solution improvement to solution optimality. Sixty‐one dyads engaged in a two‐party, four‐issue negotiation task. All negotiations were videotaped and analyzed. Although the list of negotiation tactics resulted in improved performance, only the content manipulation resulted in a significant increase in dyads achieving optimal solutions. Analyses of the coded protocols indicated that the key difference in achieving optimality was a reduction in persistent substantiation‐related operators (substantiation, along with single‐issue preferences and procedures) and an increase in a complex macro‐operator, multi‐issue offers that reduced the problem space, facilitating the search for optimality. (shrink)

The acquisition of expertise in formal problem solving has been assumed to involve either a shift from backwards to forwards inference, or a shift from unguided to guided forwards inference. In a longitudinal study, the acquisition of formal problem-solving expertise was investigated. Participants were tested as novices before undertaking controlled practice in the problem domain which involved transformation rule problems , and were finally tested as experts. The direction of inference in problem solutions was found to (...) be inadequate to describe the strategic differences between novices and experts. Therefore, a new solution coding system was applied, based on atomic components of problem solution. Analysis of novice and expert solutions revealed no systematic strategy in the novice stage solutions were confused and contained unproductive steps and backtracking. Several strategies were found in the expert solutions, but they did not agree with previously reported results. It was therefore proposed that the acquisition of expertise does not involve a change from one specific solution strategy to another, but rather the development of an efficient strategy, which can differ between participants. (shrink)

Open Shop Scheduling Problem is one of the most important scheduling problems in the field of engineering and industry. This kind of problem includes m machines and n jobs, each job contains a certain number of operations, and each operation has a predetermined processing time on its corresponding machine. The order of processing of these operations affects the completion times of all jobs. Therefore, the purpose of OSSP is to achieve a proper order of processing of jobs using (...) specified machines, so that the completion time of all jobs is minimized. In this paper, the strengths and limitations of three methods are evaluated by comparing the results of solving the OSSP in large-scale and small-scale benchmarks. In this case, the minimized completion time and total tardiness are considered the objective functions of the adapted methods. To solve small-scale problems, we adapt a mathematical model called Multiobjective Mixed Linear Programming. To solve large-scale problems, two metaheuristic algorithms including Multiobjective Parallel Genetic Algorithm and Multiobjective Parallel Simulated Annealing are adapted. In experimental results, we randomly generated small-scale problems to compare MOMILP with the Genetic Algorithm and Simulate Annealing. To compare MOPSA and MOPGA with the state of the art and show their strengths and limitations, we use a standard large-scale benchmark. The simulation results of the proposed algorithms show that although the MOPSA algorithm is faster, the MOPGA algorithm is more efficient in achieving optimal solutions for large-scale problems compared with other methods. (shrink)

The field service scheduling problem is the key problem in field services. Field service pays particular attention to customer experience, that is, customer satisfaction. Customer satisfaction described by customer behavior characteristics based on the prospect theory is considered as the primary optimization goal in this paper. The knowledge of the insertion feasibility on the solution is analysed based on the skill constraint and time window. According to the knowledge, an initialization method based on the nearest heuristic algorithm (...) is constructed. Based on the prior knowledge of the FSSP and the endowment of the Fruit Fly Optimization Algorithm, two operators are defined according to the matrix encoding method. Based on these two operators, three search strategies are then proposed, and the smell-based search strategy and vision-based search strategy for the FOA are redesigned. To verify the performance of the algorithms, the proposed operators and strategies are tested and analysed in the well-known benchmark. Through comparison with the state-of-the-art algorithms, the results show that the proposed HFOA is an effective and efficient method to solve the FSSP with customer satisfaction. (shrink)

Several studies have lately revealed that social media conceal at least three dangerous pitfalls. Firstly, social media can negatively impact sociopolitical processes in advanced liberal democracies by becoming vehicles for the spread of false information that augments political polarization (Lee et al. 2017; Ostillio 2018). Secondly, as a result of the first point, social mediacan rapidly become a source of incorrect beliefs for those subjects with low digital literacy (Guess et al. 2019). Thirdly, because of the first and second points, (...) intentionally deceitful manipulations of social media content are potent generators of information cascades that increase group polarizations across groups of vulnerable social media users (Jang and Kim2018, Wang et al. 2018, Colliander 2019). These findings support the claim that the circulation of biased content on social media potentially threatens sociopolitical stability in liberal Western democracies (Duffy 2018; Sunstein 2018). Although this claim is far from being speculative, as shown by the FacebookFile investigations (Wall Street Journal 2019) and the center for humane technology’s recen tresearch, it introduces a thorny dilemma regarding the founding principles of liberal Western democracies. Namely, should Western legislators limit free speech by introducing severe penalties for those who spread fake news and the likes on social media? Or should they let the free market autonomously produce efficient technology allowing people to identify biased social media content?In other words, is a libertarian solution to the plight of online fake news and the like preferable to adequate legislation that punishes those who spread such content? Though appealing, it is unrealistic to believe that the free market can resolve this problem. On the other hand, it is realistic to suppose that Western governments should engage in a merciless battle against biased social media content. For instance, following the publication of the Report of the independent High level Group on fake news and online disinformation in 2018, the European Union introduced new directives to limit the spread of fake news online in 2021, when the Covid19 pandemic started fading. Although initiatives as such might look like limitations of free speech, there is solid philosophical ground to defend such initiatives. To prove this contention, we resort to Hobbes’s (1651, Part II, §18 and §29) argument that humans can avoid falling back into the Hobbesian state of war only if they stipulate a covenant. Specifically, we appeal to Hobbes’s (1651) argument in favor of bestowing the sovereign the right to ban those seditious doctrines that might undermine peace and sociopolitical stability in the Hobbesian Commonwealth. In this regard, we show that the Hobbesian covenant resolves conflict among humans in the same way a correlated equilibrium limits noncooperation in game theory. Namely, like game theory players, citizens enjoy greater welfare whenever they observe rules that mitigate conflict (Slomp 2010). Accordingly, we argue that citizens would be better off only if Western governments introduced severe penalties for those who intentionally spread fake news. Notably, we argue that effective regulation would create disincentives for spreading biased content and incentives for spreading truthful content. Furthermore, we argue that effective regulation against online fake news would assuage the polarizing effects of online availability cascades on social networks. Importantly, we provide empirical evidence supporting these claims by showing that the lack of effective regulation led the American government to miserably fail to contain the devasting effects of the online infodemic (i.e., the epidemic of false online information)that took place during the first two waves of the Covid19 pandemic (Evanega et al. 2020, Milosh et al. 2020). (shrink)

As an advanced network calculation mode, cloud computing is becoming more and more popular. However, with the proliferation of large data centers hosting cloud applications, the growth of energy consumption has been explosive. Surveys show that a remarkable part of the large energy consumed in data center results from over-provisioning of the network resource to meet requests during peak demand times. In this paper, we propose a solution to this problem by constructing a dynamic energy-efficient resource management scheme. (...) As a way of saving energy as well as maintaining cloud user’s quality of experience, the scheme presents a multitier cloud architecture by configuring physical machines into two pools: a hot pool and a warm pool. Each PM is configured with a resource search engine that finds an available virtual machine for the request, and a synchronous sleep mechanism is introduced to the warm pool. To analyze the end-to-end performance of the cloud system’s service with the proposed scheme, we establish a hybrid queueing system composed of three stochastic submodels by using a matrix-geometric solution. Accordingly, the average latency of requests and the energy-saving rate of the system are derived. Through numerical results, we show the influence of the synchronous sleep mechanism on the system performance. Moreover, from the perspective of economics, we build a system cost function to study the trade-off between different performance measures. An improved Salp Swarm Algorithm is presented to minimize the system cost and optimize the sleep parameter. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Self-Culture in Emerson’s Schellingian Solution to FateNicholas L. Guardiano (bio)Professor of English literature, President of Yale University, and Commissioner of Major League Baseball, Angelo Bartlett Giamatti (1938–1989), delighted in saying that Emerson “is as sweet as barbed wire.”1 Giamatti understood the full range of Emerson’s thought, which spans the highs and lows of the human condition. Writings such as “Experience,” “Illusions,” “The Tragic,” and “Fate” demonstrate the transcending (...) of Emerson’s transcendentalism beyond any soft Romanticism or naïve idealism. They consistently assert the reality of antagonistic forces pervading human experience and nature. “The Tragic” opens with the lines: “He has seen but half the universe who never has been shown the House of Pain. As the salt sea covers more than two thirds of the surface of the globe, so sorrow encroaches in man on felicity” (CW 10:334).2 “Fate” similarly insists: “We cannot trifle with this reality [of fate], this cropping-out in our planted gardens of the core of the world. No picture of life can have any veracity that does not admit the odious facts” (CW 6:11; my emphasis). Emerson was made intimately aware of the House of Pain by his own personal hardships. To name only a few, there was the death of his first wife Ellen at age 19 from tuberculosis, a rheumatic eye disease that left Emerson nearly blind for months, the terrible loss of his five-year old son Waldo to scarlet fever, the untimely deaths of his two brothers Charles and Edward in their 20s, a fire that partially destroyed the Emerson family home, and the inexorable mental decline into aphasia afflicting Emerson in his final years. Emerson further bore sympathetic witness to the hardships of his friends, family, and community. In addition, he lived through the national crisis of the American Civil War, and was a committed abolitionist willing to face head on the real evils of slavery. These experiences and others were a discipline in the tragic [End Page 28] constitution of the world. Furthermore, they provided hints on how to make one’s way through it.3In this essay, I aim to do some justice to Emerson’s mature transcendentalism by examining his metaphysical-ethical co-principles of fate and freedom, or necessity and power. These co-principles are the central topic of the essay “Fate,” which appeared as the opening chapter of the book The Conduct of Life (1860). There, Emerson somewhat paradoxically admits both principles as opposing forces, and attempts to show their compatibility using a Schellingian dialectic. After presenting Emerson’s understanding of fate and an interpretation of his metaphysical solution to it, I follow up on the primary ethical concern that opens the essay and book, namely “How shall I live?” (CW 6:1). To that end, I attempt to flesh out the ethical character of a life that embraces fate in terms of an Emersonian project of self-culture. My methodological approach throughout evolves progressively from the interpretation to the expansion of Emerson’s ideas. Its first section examines his philosophy as an offshoot of the world-historical line of thought extending from Plato to the Neoplatonists, Eriugena, Spinoza, Goethe, and Schelling, among others. Later philosophers, scientists, and artists who took inspiration from Emerson’s transcendentalism, including Charles Peirce, the Hudson River School painters, Wallace Stevens, and Loren Eiseley, follow the same intellectual trajectory.4 Further taking up the torch, my second section creatively amplifies Emerson’s insights for an ethics of self-culture, and in this way argues for the truth of his Schellingian form of freedom.I. The Problem and Its SolutionFor Emerson, fate is real. It consists in the “immovable limitations” and necessary “laws of the world” (CW 6:2). These limits or laws occur in the conduct of life not so much as theoretical abstractions or remote chains of efficient [End Page 29] causality but as impositions on our will, both from within and without. On the one hand, we are confronted by the rough and tumble of nature, the outside environment in which we live. Serious in Emerson’s nineteenth century and remaining so today are... (shrink)

The “Tower of London” puzzle was adapted to tablet PCs to be used as a clinical bedside test. “Iso-problems”, a specific class of problems, require identical moves but ball colours are permuted. Thus difficulty is the same even if the appearance is different. We wanted to determine the impact of these as yet little-studied tasks and hypothesised that there may be a learning effect specific to them (the “iso-effect”). We interspersed a set of six iso-problems within one selection of 22 (...) tasks and analysed problem solving by 81 healthy adults (mean age 41.6 years). Participants showed learning across iso-problems (less time, fewer moves, increasingly efficient solutions). This effect was distinct from general learning, as was obvious from comparison with a series of non-isomorphic tasks. However, participants seem not to be aware of solving such problems. This “iso-effect” may be related to implicit memory, a domain that so far has not been assessed using the Tower of London. (shrink)

Kleinberg describes a novel procedure for efficient search in a dense hyper-linked environment, such as the world wide web. The procedure exploits information implicit in the links between pages so as to identify patterns of connectivity indicative of “authorative sources”. At a more general level, the trick is to use this second-order link-structure information to rapidly and cheaply identify the knowledge-structures most likely to be relevant given a specific input. I shall argue that Kleinberg’s procedure is suggestive of a new, (...) viable, and neuroscientifically plausible solution to at least the so-called “Frame Problem” in cognitive science viz the problem of explaining global abductive inference. More accurately, I shall argue that Kleinberg’s procedure suggests a new variety of “fast and frugal heuristic” ) capable of pressing maximum utility from the vast bodies of information and associations commanded by the biological brain. The paper thus takes up the challenge laid down by Fodor ). Fodor depicts the problem of global knowledge-based reason as the point source of many paradigmatic failings of contemporary computational theories of mind. These failings, Fodor goes on to argue, cannot be remedied by any simple appeal to alternative modes of encoding and processing. I shall show, however, that connectionist models can provide for one neurologically plausible incarnation of Kleinberg’s procedure. The paper ends by noting that current commercial applications increasingly confront the kinds of challenge initially posed to biological thought and reason. (shrink)

Theories of skill acquisition have made radically different predictions about the role of general problem‐solving methods in acquiring rules that promote effective transfer to new problems. Under one view, methods that focus on reaching specific goals, such as means‐ends analysis, are assumed to provide the basis for efficient knowledge compilation (Anderson, 1987), whereas under an alternative view such methods are believed to disrupt rule induction (Sweller, 1988). We suggest that the role of general methods in learning varies with both (...) the specificity of the problem solver's goal and the systematicity of the strategies used for testing hypotheses about rules. In the absence of a specific goal people are more likely to use a rule‐induction learning strategy, whereas provision of a specific goal fosters use of difference reduction, which tends to be a non‐rule‐induction strategy. We performed two experiments to investigate the impact of goal specificity and systematicity of rule‐induction strategies in learning and transfer within a complex dynamic system. The results of Experiment 1 indicated that during free exploration of a problem space, greater learning occurred if participants adopted more systematic strategies for rule induction, and that participants come to favor such strategies. Experiment 2 revealed that participants who were provided with a specific goal performed well on the initial problem but were impaired on a transfer test using a similar problem with a different goal. Instruction on a systematic rule‐induction strategy facilitated solution for both the initial and transfer problems, but participants' use of this strategy declined if they had a specific goal. Our results support Sweller's (1988) proposal that general problemsolving methods applied to a specific goal foster acquisition of knowledge about an isolated solution path but do not provide an effective way of learning the overall structure of a problem space. We interpret these results in terms of dualspace theories of search through problem space. (shrink)

In this article, we present a one-step hybrid block method for approximating the solutions of second-order fuzzy initial value problems. We prove the stability and convergence results of the method and present several examples to illustrate the efficiency and accuracy of the proposed method. The numerical results are compared with the existing ones in the literature.

Due to the difficulty in solving combinatorial optimization problems, it is necessary to improve the performance of the algorithms by improving techniques to deal with complex optimizations. This research addresses the metaheuristics of marriage in honey-bees optimization based on the behavior of bees. The current study proposes a technique for solving combinatorial optimization problems within proper computation times. The purpose of this study focuses on the travelling salesperson problem and the application of chaotic methods in important sections of the (...) MBO metaheuristic. Three experiments were conducted to measure the efficiency and quality of the solutions: MBO with chaos to generate initial solutions ; MBO with chaos in the workers ; and MBO with chaos to generate initial solutions and the workers. The application of chaotic functions in MBO was significantly better at solving the travelling salesperson problem. (shrink)

The aim of this study is to introduce a novel method to solve a class of two-dimensional fractional optimal control problems. Since there are some difficulties solving these problems using analytical methods, thus finding numerical methods to approximate their solution is a challenging topic. In this study, we use transcendental Bernstein series. In fact, for solving the problem, we generalize the Bernstein polynomials to a larger class of functions which can provide more accurate approximate solutions. The convergence theorem (...) is proved. Some examples are solved to demonstrate the validity and applicability of this technique. Comparing the results with other methods, we can find the efficiency and applicability of the scheme. (shrink)

This paper investigates the Generalized Traveling Salesman Problem (GTSP), which is an extension of the well-known Traveling Salesman Problem (TSP), and it searches for an optimal tour in a clustered graph, such that every cluster is visited exactly once. In this paper, we describe a novel Memetic Algorithm (MA) for solving efficiently the GTSP. Our proposed MA has at its core a genetic algorithm (GA), completed by a Chromosome Enhancement Procedure (CEP), which is based on a TSP solver (...) and the Shortest Path (SP) algorithm and for improving the convergence characteristics of the GA, a Local Search (LS) operation is applied for the best chromosomes in each generation. We tested our algorithm on a set of well-known instances from the literature and the achieved results prove that our novel memetic algorithm is highly competitive against the existing solution approaches from the specialized literature. (shrink)

We consider scenarios with distributed decision processes, e.g., coupled majorities and personal union in parliament chambers, supranational decisions and supervisory boards. When computing the adoption rate for reaching a decision in these scenarios, multiple linear inequality restrictions in combinatorial countings are present. These rates cannot be computed in closed form. We introduce a general method for incorporating multiple inequality conditions in multiple majority decisions, which significantly reduces the number of involved summations and removes restrictions on the summation indices. Exact solutions (...) are provided through integral representations which can be evaluated numerically, and unrestricted, contracted sums over discrete events. Further, we provide methods to reduce the number of necessary summations by splitting or recurring the original problem to easier sub-problems. For five dedicated scenarios, full results are given which indeed require a single unrestricted summation only. (shrink)

The aim of this article is to present a chaotic fruit fly algorithm as an optimization approach for solving engineering design problems. In CFFA, the fruit fly algorithm, which is recognized for its durability and efficiency in addressing optimization problems, was paired with the chaotic local search method, which allows for local exploitation. CFFA will be set up to work in two phases: in the first, FFA will be used to discover an approximate solution, and in the second, (...) chaotic local search will be used to locate the optimal solution. As a result, CFFA can address difficulties associated with the basic FFA such as falling into local optima, an imbalance between exploitation and exploration, and a lack of optimum solution acquisition. The chaotic logistic map is employed in the CLS because it has been demonstrated to be effective in improving the quality of solutions and giving the best performance by many studies. The proposed algorithm is tested by the set of CEC’2005 special sessions on real parameter optimization and many EDPs from the most recent test suite CEC’2020. The results have demonstrated the superiority of the proposed approach to finding the global optimal solution. Finally, CFFA′s results were compared to those of earlier research, and statistical analysis using Friedman and Wilcoxon's tests revealed its superiority and capacity to tackle this type of problem. (shrink)

Over half of the world's population (3 billon people) now lives in urban environments. The combination of people, industry, and commerce enmeshed in environments over-determined by plans, designs, and configurations that continue to emphasize ease, efficiency, and spatial sprawl over ecological constraints and sustainability help to make urban environments the primary contributors to multiple types of ecological degradation. With this in mind, urban environments demand greater sustained theoretical and practical attention than has been and is the norm under status (...) quo approaches to urbanism that pay little regard to ecological constraints and under traditional models of environmentalism informed by an anti-urban bias. Fortunately, an emerging form of urban environmentalism exists that recognizes the central ecological role of urban environments. This emerging form of urban environmentalism also recognizes urban environments to be the places where environmental problems are often most severe and where environmental solutions are in most need of immediate implementation. The upshot of this dual recognition is that it is accompanied by a growing dual awareness of urban environmental problems and solutions. In this paper I argue that despite this dual recognition and awareness, a paradoxical form of inaction is the norm when it comes to implementing urban environmental solutions. I explain why this is the case by outlining what I call the paradox of urban environmentalism. I explain why the paradox should be considered one of the most significant problems of this new environmental century as well as that frame which opens the door to a new sense of what is possible in urban environments. In the process of considering what is possible, I arrive at some preliminary conclusions about a possible methodological role philosophers can play in helping to address this paradoxical inaction in the hopes of bringing about more sustainable urban environments. (shrink)