In this paper we propose an non-machine learning artificial intelligence (AI) based approach for telecom data analysis, with a special focus on clique detection. Clique detection can be used to identify households, which is a major challenge in telecom data analysis and predictive analytics. Our approach does not use any form of machine learning, but another type of algorithm: satisfiability for propositional logic. This is a neglected approach in modern AI, and we aim to demonstrate that for certain tasks, it (...) may be a good alternative to machine learning-based approaches. We have used a simple DPLL satisfiability solver over an artificially generated telecom dataset (due to GDPR regulations), but our approach can be implemented on any telecom data by following the SAT encoding we have developed, and the DPLL solver can be substituted by a more advanced alternative such as CDCL. This paper extends the method presented in [1] for banking logs to data containing caller information, and proposes a more efficient encoding. -/- . (shrink)

How should a machine intelligence perform unsupervised structure discovery over streams of sensory input? One approach to this problem is to cast it as an apperception task [1]. Here, the task is to construct an explicit interpretable theory that both explains the sensory sequence and also satisfies a set of unity conditions, designed to ensure that the constituents of the theory are connected in a relational structure. However, the original formulation of the apperception task had one fundamental limitation: it assumed (...) the raw sensory input had already been parsed using a set of discrete categories, so that all the system had to do was receive this already-digested symbolic input, and make sense of it. But what if we don't have access to pre-parsed input? What if our sensory sequence is raw unprocessed information? The central contribution of this paper is a neuro-symbolic framework for distilling interpretable theories out of streams of raw, unprocessed sensory experience. First, we extend the definition of the apperception task to include ambiguous (but still symbolic) input: sequences of sets of disjunctions. Next, we use a neural network to map raw sensory input to disjunctive input. Our binary neural network is encoded as a logic program, so the weights of the network and the rules of the theory can be solved jointly as a single SAT problem. This way, we are able to jointly learn how to perceive (mapping raw sensory information to concepts) and apperceive (combining concepts into declarative rules). (shrink)

Công việc nghiên cứu khoa học hẳn nhiên có rất nhiều chi phí. Việc phân loại chi phí cũng có thể gọi là cả một ngành khoa học hẹp được. Nhưng có những chi phí không tên. Hơn thế nữa, trong chi phí không tên có cả những chi phí chẳng mấy ai buồn quan tâm.

Deepfakes are audio, video, or still-image digital artifacts created by the use of artificial intelligence technology, as opposed to traditional means of recording. Because deepfakes can look and sound much like genuine digital recordings, they have entered the popular imagination as sources of serious epistemic problems for us, as we attempt to navigate the increasingly treacherous digital information environment of the internet. In this paper, I attempt to clarify what epistemic problems deepfakes pose and why they pose these problems, by (...) drawing parallels between recordings and our own senses as sources of evidence. I show that deepfakes threaten to undermine the status of digital recordings as evidence. The existence of deepfakes thus encourages a kind of skepticism about digital recordings that bears important similarities to classic philosophical skepticism concerning the senses. However, the skepticism concerning digital recordings that deepfakes motivate is also importantly different from classical skepticism concerning the senses, and I argue that these differences illuminate some possible strategies for solving the epistemic problems posed by deepfakes. (shrink)

I will begin this paper by identifying the problem within the theory of ethics, which contractualism as a moral theory is attempting to address. It is not that of solving the problem of moral motivation like the ‘arch-contractualist’, Thomas Scanlon, often claims, but rather that of describing a class of fundamental moral reasons – contractualist reasons for short. In the second section, I will defend the contractualist idea of how the nature of these moral reasons provides us with sufficient, (...) independent tools to construct the content of public moral principles. The rest of my paper is defensive. It addresses the main challenges set to the contractualist account of moral reasons. In the third section, I will discuss a frequent objection according to which the contractualist reasons are a redundant addition to the space of moral reasons. In the fourth section, I will examine the worry that acting from these reasons would not lead to morally admirable action but rather to vice. In the last section, I will investigate the criticism according to which the normative force of the contractualist reasons is insufficient for rationalising our moral actions in certain difficult circumstances. In this section, we get to the heart of the matter – what the reasons contractualism describes truly are, and how they can explain the generally overriding strength of our moral requirements. I hope to conclude that even after these serious challenges contractualism remains a philosophically viable account of morality's rationalistic appeal. (shrink)

German idealism stems in large part from Fichte’s response to a dilemma involving the concepts of pantheism, freedom and time: either time is the form of the determination of modes of substance, as held by a pantheistic or ‘dogmatic’ person, or the form of acts generated by human freedom, as held by an idealistic person. Fichte solves the dilemma by refuting dogmatism and deducing time from idealism’s first principle. But his diagnosis is more portentous: by casting the lemmas in terms (...) of person-types, he unintentionally invites Schelling’s philosophical rethinking of personality. In his middle period, Schelling argues for the consistency of the concepts of pantheism, freedom and time, claiming that it depends on a ‘good’ as opposed to ‘evil’ personality. However, since on his view personality is an absolute or originally undecided capacity for good and evil, the trio’s consistency is entirely contingent. In §1, I trace Fichte’s resolution of the dilemma. In §§2-3, I reconstruct Schelling’s arguments for consistency from the Freiheitsschrift and Weltalter, texts written just a few years apart. In §4, I allay a Kantian worry that this consistency relies problematically on the liberty of indifference or Willkür. (shrink)

Năng lực số được hiểu là những khả năng phù hợp của một cá nhân để sống, học tập và làm việc trong một xã hội số. Mục tiêu của nghiên cứu này là khảo sát năng lực số của giảng viên (GV) thuộc lĩnh vực khoa học xã hội và nhân văn (KHXH&NV) trong bối cảnh có những yêu cầu ngày càng cao về các hoạt động học thuật số. Phương pháp nghiên cứu định lượng được áp dụng để (...) thu thập dữ liệu từ 135 GV. Phân tích dữ liệu thu được cho thấy GV có năng lực số tốt nhất trong các nhóm năng lực về sự thành thạo công nghệ thông tin và truyền thông (CNTT-TT) và hiệu quả sử dụng các ứng dụng CNTT-TT trong hoạt động nghiên cứu và giảng dạy; và thấp nhất trong các nhóm năng lực về quản lý dữ liệu, năng lực sáng tạo, và năng lực tham gia trong môi trường số. Kết quả nghiên cứu là nền tảng cho những đề tài tiếp theo để xem xét mối tương quan giữa năng lực số và nhân văn số, và giúp xây dựng chương trình huấn luyện nâng cao năng lực số cho GV trong thực hành học thuật KHXH&NV. (shrink)

The study determined the problem-solving performance and skills of prospective elementary teachers (PETs) in the Northern Philippines. Specifically, it defined the PETs’ level of problem-solving performance in number sense, measurement, geometry, algebra, and probability; significant predictors of their problem-solving performance in terms of sex, socio-economic status, parents’ educational attainment, high school graduated from and subject preference; and their problem-solving skills. The PETs’ problem-solving performance was determined by a problem set consisting of word problems with number (...) sense, measurement, geometry, algebra, and probability. A mixed-method research design was employed. Senior PETs purposively served as a sample where they mostly preferred to teach other subjects than mathematics. PETs who preferred math performed satisfactorily, while prospective teachers who opted for other subjects performed unsatisfactorily. The PETs’ unsatisfactory output indicates the need for remediation to advance the mathematical material skills and enrich the problem-solving abilities of these primary schools' potential teachers. Besides, results showed that subject preference strongly affected and predicted the problem-solving success of the PETs. PETs who preferred to teach mathematics performed significantly better than their counterparts; hence, mathematics as a field of specialization in the Bachelor of Elementary Education program may be considered by teacher education institutions. Further, most PETs displayed lack of problem-solving skills; thus, a Problem-Solving course is recommended for them. (shrink)

Psychiatric patients sometimes ask where to draw the line between who they are – their selves – and their mental illness. This problem is referred to as the self-illness ambiguity in the literature; it has been argued that solving said ambiguity is a crucial part of psychiatric treatment. I distinguish a Realist Solution from a Constructivist one. The former requires finding a supposedly pre-existing border, in the psychiatric patient’s mental life, between that which belongs to the self and that (...) which belongs to the mental illness. I argue that no such border exists, and that attempts to find it might even render the felt ambiguity worse. Instead, any solution must be constructivist; the patient (and others) should deliberate and discuss what to identify with or not. I further argue that psychiatric patients need not see their mental illness as wholly distinct from themselves to avoid ‘identifying with their diagnoses' in a problematic way. Finally, we can excuse problematic behaviour by mentally ill people – in fact, we can do so in a more nuanced and constructive way – while rejecting the view that the mental illness is wholly distinct from the patient’s self. (shrink)

This article reviews eight proposed strategies for solving the Symbol Grounding Problem (SGP), which was given its classic formulation in Harnad (1990). After a concise introduction, we provide an analysis of the requirement that must be satisfied by any hypothesis seeking to solve the SGP, the zero semantical commitment condition. We then use it to assess the eight strategies, which are organised into three main approaches: representationalism, semi-representationalism and non-representationalism. The conclusion is that all the strategies are semantically committed (...) and hence that none of them provides a valid solution to the SGP, which remains an open problem. (shrink)

The ability to solve problems is a prerequisite in preparing mathematics preservice teachers. This study assessed preservice teachers’ problem-solving difficulties and performance, particularly in worded problems on number sense, measurement, geometry, algebra, and probability. Also, academic profile differences in the preservice teacher’s problem-solving performance and common errors were determined. A descriptive-comparative research design was employed with 158 random respondents. Data were gathered face-to-face during the first semester of the school year 2022-2023, and data were analyzed with the aid (...) of jamovi software, ensuring ethical measures. Overall findings revealed that the preservice teachers experienced average difficulty in solving problems. The low performance of the preservice teachers on the given problems was also demonstrated. Further analysis revealed a significant difference between the preservice teachers’ problem-solving performance based on their subject preference and program. Moreover, the error analysis revealed that the preservice teachers incurred comprehension errors in misrepresentation, misinterpretation, and miscalculation. These results will serve as a measure for policymakers and curriculum developers of the teacher education institution concerned to make relevant enhancements to the math courses offered in the elementary and secondary education programs. (shrink)

Many current popular views in epistemology require a belief to be the result of a reliable process (aka ‘method of belief formation’ or ‘cognitive capacity’) in order to count as knowledge. This means that the generality problem rears its head, i.e. the kind of process in question has to be spelt out, and this looks difficult to do without being either over or under-general. In response to this problem, I propose that we should adopt a more fine-grained account of the (...) epistemic basing relation, at which point the generality problem becomes easy to solve. (shrink)

Triangles and trigonometry are always difficult topics for both mathematics students and teachers. Hence, students' performance in solving mathematical word problems in these topics is not only a reflection of their learning outcomes but also an indication of teaching effectiveness. This case study drew from two examples of solving word problems involving triangles by pre-service mathematics teachers in a foundation mathematics course delivered by the author. The focus of this case study was on reasoning implications of students' performances (...) on the effective training of pre-service mathematics teachers, from which a three-step interactive explicit teaching-learning approach, comprising teacher-led precise and inspiring teaching (or explicit teaching), student-driven engaged learning (or imitative learning), and student-led and teacher-guided problem-solving for real-world problems or projects (or active application), was summarized. Explicit teaching establishes a solid foundation for students to further their understanding of new mathematical concepts and to conceptualize the technical processes associated with these new concepts. Imitative learning helps students build technical abilities and enhance technical efficacy by engaging in learning activities. Once these first two steps have been completed, students should have a decent understanding of new mathematical concepts and technical efficacy to analyze, formulate, and finally solve real-world applications with assistance from teachers whenever required. Specially crafted professional development should also be considered for some in-service mathematics teachers to adopt this three-step interactive teaching-learning process. (shrink)

So-called 'Frege cases' pose a challenge for anyone who would hope to treat the contents of beliefs (and similar mental states) as Russellian propositions: It is then impossible to explain people's behavior in Frege cases without invoking non-intentional features of their mental states, and doing that seems to undermine the intentionality of psychological explanation. In the present paper, I develop this sort of objection in what seems to me to be its strongest form, but then offer a response to it. (...) I grant that psychological explanation must invoke non-intentional features of mental states, but it is of crucial importance which such features must be referenced. -/- It emerges from a careful reading of Frege's own view that we need only invoke what I call 'formal' relations between mental states. I then claim that referencing such 'formal' relations within psychological explanation does not undermine its intentionality in the way that invoking, say, neurological features would. The central worry about this view is that either (a) 'formal' relations bring narrow content in through back door or (b) 'formal' relations end up doing all the explanatory work. Various forms of each worry are discussed. The crucial point, ultimately, is that the present strategy for responding to Frege cases is not available either to the 'psycho-Fregean', who would identify the content of a belief with its truth-value, nor even to someone who would identify the content of a belief with a set of possible worlds. It requires the sort of rich semantic structure that is distinctive of Russellian propositions. There is therefore no reason to suppose that the invocation of 'formal' relations threatens to deprive content of any work to do. (shrink)

Recent work in the metaphysics of gender mostly focuses on trying to solve the exclusion problem - roughly, the problem of giving a metaphysical account of gender that doesn’t exclude anyone from their appropriate gender category. It is acknowledged that no completely satisfactory answer to the exclusion problem has yet been given in the literature; typically such theories fail to account for the diverse experiences and characteristics of trans people. One response is to adopt an anti-realism about gender properties, such (...) as Heather Logue’s gender fictionalism. I rebut the move to an anti-realism, showing that it relies on assuming a representationalism about gender vocabulary that we need not hold. I put forward a non-representationalist theory of gender properties that analyses gender vocabulary in terms of its inferential profile, rather than its representational features. This theory constitutes a deflationary realism about gender properties; it solves the inclusion problem, and guarantees the first-person epistemic authority of an individual regarding their own gender identity. (shrink)

Sangat is a term derived from the root word "sang," meaning association or to accompany travelers on pilgrimage. It also relates to assembly, company, fellowship, congregation, meeting, or union. The word sangat refers only to fellowship but does not necessarily refer to the merits or traits of associates. Sangat: In the Sikh religion, the Sangat term is used to refer to the community of people who gather to worship and support each other in their spiritual journey. Through the Sangat, Sikhs (...) can deepen their understanding of the teachings of their faith. Thus, it allows people to connect with others who share their values and beliefs, fostering a sense of belonging and unity. The moral traits of Sangat are essential and are mentioned in both scripture of Guru Granth Sahib and the code of conduct. Both Amritdhari Sikhs (Khalsa) and Sehajdhari Sikhs are integral parts of the Sangat. In recent times, the Sangat has also adapted to the modern context by leveraging technology to connect people worldwide. Sikhs can now connect with each other, share their experiences, and participate in virtual Sangat from the comfort of their own homes. Guru Arjan Dev encourages us to be part of Sangat. O fortunate ones! Join the Sangat (the Blessed Congregation); Therein, learn and reflect on the True Word (Shabd). (M. 5, SGGS: 46) Saadh Sangat: Saadh Sangat is a term used in Sikhism that refers to the congregational body of committed human beings who aspire toward the attainment of self-realization through the active engagement with the Divine Word (shabd) and loving adherence to the long established traditions (rehat-maryada) of the Panth. The term "Saadh" means holy or pious, and "Sangat" means assembly or congregation. It is believed that being part of a community of like-minded individuals can help one to stay on the path of righteousness and lead a fulfilling life. The Saadh Sangat is also seen to serve others, as community members often come together to engage in acts of charity and service to the broader community. The importance of the Saadh Sangat is emphasized in Sikh teachings. Guru Arjan Dev proclaims the importance of Saadh Sangat as: In the Saadh Sangat (the Company of the Holy), the True Name of the Lord comes to dwell in the mind. (M. 5, SGGS: 51). (shrink)

There exists a huge number of numerical methods that iteratively construct approximations to the solution y(x) of an ordinary differential equation (ODE) y′(x) = f(x,y) starting from an initial value y_0=y(x_0) and using a finite approximation step h that influences the accuracy of the obtained approximation. In this paper, a new framework for solving ODEs is presented for a new kind of a computer – the Infinity Computer (it has been patented and its working prototype exists). The new computer (...) is able to work numerically with finite, infinite, and infinitesimal numbers giving so the possibility to use different infinitesimals numerically and, in particular, to take advantage of infinitesimal values of h. To show the potential of the new framework a number of results is established. It is proved that the Infinity Computer is able to calculate derivatives of the solution y(x) and to reconstruct its Taylor expansion of a desired order numerically without finding the respective derivatives analytically (or symbolically) by the successive derivation of the ODE as it is usually done when the Taylor method is applied. Methods using approximations of derivatives obtained thanks to infinitesimals are discussed and a technique for an automatic control of rounding errors is introduced. Numerical examples are given. (shrink)

The dilemma mentioned in the title have long been a puzzle to logic. To solve it, it was necessary to make some philosophical decisions. The article provides these decisions and discusses the way to solve the problem.

In this paper, I embark on diving deep into the specific training model of the systematic approach to training for probing more perspectives of its governance that should connect and link its phases together. Actually this training model is applied by many organizations all around the world that require a high level of professional trained staff with a minimal standard deviation of processes. I am here concerned with those organizations seeking a better training system, while ending up being superficially satisfied (...) with reverberating and bragging with having the SAT onboard without full awareness of the possibilities of its implementation. It is not about the system, it is about the mindsets that are flexible enough to fully grasp the ins and outs of the model they are about to use and how to harness its tools for their organizational benefit; otherwise it’s a waste of time, effort and money. In order to operate training in a systematic manner, it has to not only cover the inter related stages and processes, but also set a solid bridge that keeps and maintains the smooth landing from one stage to another along with securing the prospected outputs which conforms to both form and content. Based on my experience on the best practices of the systematic approach to training, I will here contribute my insight of the system quality control technique that may help in a well-knitted flow of processes. (shrink)

It has been known for long time that most of the existing cosmology models have singularity problem. Cosmological singularity has been a consequence of excessive symmetry of flow, such as “Hubble’s law”. More realistic one is suggested, based on Newtonian cosmology model but here we include the vertical-rotational effect of the whole Universe. We review a Riccati-type equation obtained by Nurgaliev, and solve the equation numerically with Mathematica. It is our hope that the new proposed method can be verified with (...) observation data. (shrink)

I introduce a new formulation of rule consequentialism, defended as an improvement on traditional formulations. My new formulation cleanly avoids what Parfit calls “ideal world” objections. I suggest that those objections arise because traditional formulations incorporate counterfactual comparisons about how things could go differently. My new formulation eliminates those counterfactual comparisons. Part of the interest of the new formulation is as a model of how to reformulate structurally similar views, including various kinds of contractualism.

Complex problem solving (CPS) emerged in the last 30 years in Europe as a new part of the psychology of thinking and problem solving. This paper introduces into the field and provides a personal view. Also, related concepts like macrocognition or operative intelligence will be explained in this context. Two examples for the assessment of CPS, Tailorshop and MicroDYN, are presented to illustrate the concept by means of their measurement devices. Also, the relation of complex cognition and emotion (...) in the CPS context is discussed. The question if CPS requires complex cognition is answered with a tentative “yes.”. (shrink)

This paper looks at three ways of addressing probabilism’s implausible requirement of logical omniscience. The first and most common strategy says it’s okay to require an ideally rational person to be logically omniscient. I argue that this view is indefensible on any interpretation of ‘ideally rational’. The second strategy says probabilism should be formulated not in terms of logically possible worlds but in terms of doxastically possible worlds, ways you think the world might be. I argue that, on the interpretation (...) of this approach that lifts the requirement of certainty in all logical truths, the view becomes vacuous, issuing no requirements on rational believers at all. Finally, I develop and endorse a new solution to the problem. This view proposes dynamic norms for reasoning with credences. The solution is based on an old proposal of Ian Hacking’s that says you’re required to be sensitive to logical facts only when you know they are logical facts. (shrink)

Math prospective teachers must be able to think creatively and solve problems. The study looked into preservice teachers’ creative thinking and problem-solving abilities in statistics. The investigation was guided by a correlational design in a public university in the Philippines. Stratified random sampling was used to select the 103 study participants from two teacher education programs. Through google forms, data were collected using Torrance et al. (2008)’s tests of creative thinking and researcher-made statistics problem test. The findings revealed that (...) preservice teachers have commendable creative thinking, particularly fluency, flexibility, and elaboration skills. Still, they lack problem-solving skills in statistics, specifically with central tendency, dispersion, and position measures. The correlational analysis revealed no link between creative thinking and problem-solving. Still, creative thinking and problem-solving courses are recommended to help preservice teachers develop their fundamental skills as mathematics educators. (shrink)

Proficiency in solving mathematical problems is essential for preservice elementary teachers, as they will teach foundational math concepts and foster problem-solving abilities among young learners. However, many studies found low problem-solving performance among preservice teachers. In line with this, the present study examined how problem-solving disposition relates to the performance of preservice elementary teachers, conducted at a selected higher education institution in Nueva Ecija, Philippines, with 134 participants. The study utilized a mathematical problem-solving disposition and (...) beliefs scale questionnaire and a problem-solving test scored using the identify, define, explore, act, and look (IDEAL) model. Results indicated an average problem-solving disposition and high problem-solving performance among preservice teachers. Linear regression analysis showed that overall problem-solving disposition is a predictor of performance. Further, stepwise regression analysis revealed that two disposition parameters, mathematical mindset (β = 2.413, p < 0.01) and community of practice (β = 1.866, p < 0.01), significantly predicted problem-solving performance. These findings show the significance of developing a problem-solving disposition, mindset, and learning communities to improve future teachers’ problem-solving ability by providing more learning opportunities, interdisciplinary problems, and social engagements. (shrink)

Elementary preservice teachers (EPTs) substantially impact the quality of mathematics education, and their subject preference and problem-solving performance are essential indicators of their readiness to teach. The study described EPTs’ subject preference and problem-solving performance. Through a sequential explanatory research design, the quantitative inquiry involved 125 random samples, while the qualitative inquiry was participated by 30 non-random samples. Data were obtained by using an online survey and conferencing. Quantitative data were analyzed through descriptive statistics and analysis of variance, (...) whereas qualitative data were themed accordingly. The EPTs displayed unsatisfactory problem-solving performance and preferred to handle subjects other than math. Besides, the analysis found no significant performance differences with the EPTs’ subject preferences. Further, the EPTs who preferred to teach mathematics expressed their confidence in mathematics. Meanwhile, the EPTs who preferred other subjects displayed math avoidance. The study revealed an alarming result indicating that the EPTs are unprepared for teaching. As agents in cultivating the nation’s mathematics education status, these EPTs must be equipped with fundamental content knowledge. It is suggested that educational decision-makers take measures to address the issues identified concerning EPTs’ readiness to teach mathematics successfully. (shrink)

Our pollution of the environment seems set to lead to widespread problems in the future, including disease, scarcity of resources, and bloody conflicts. It is natural to think that we are required to stop polluting because polluting harms the future individuals who will be faced with these problems. This natural thought faces Derek Parfit’s famous Non-Identity Problem ( 1984 , pp. 361–364). The people who live on the polluted earth would not have existed if we had not polluted. Our polluting (...) behaviour does not make these individuals worse off. It may therefore seem that we do not harm them by polluting. Parfit argues that we should replace person-affecting principles with an impersonal principle of beneficence, Principle Q ( 1984 , p. 360.). I argue that Principle Q cannot give an adequate account of our duties to refrain from polluting. I consider attempts to solve the Non-Identity Problem by denying that to harm someone an agent must make them worse off. I argue that such responses provide a partial solution to the Non-Identity Problem. They do show that we harm future individuals in a morally relevant sense by polluting. Nonetheless, this is only a partial solution. The Non-Identity Problem still suggests that our harm-based reasons not to pollute are less strong than we intuitively believe. Thus on its own an appeal to the claim that we harm future individuals is not able to give a fully satisfactory account of why we are required not to pollute. (shrink)

Cosmological inflation is widely considered an integral and empirically successful component of contemporary cosmology. It was originally motivated by its solution of certain so-called fine-tuning problems of the hot big bang model, particularly what are known as the horizon problem and the flatness problem. Although the physics behind these problems is clear enough, the nature of the problems depends on the sense in which the hot big bang model is fine-tuned and how the alleged fine-tuning is problematic. Without clear explications (...) of these, it remains unclear precisely what problems inflationary theory is meant to be solving and whether it does in fact solve them. I analyze the structure of these problems and consider various interpretations that may substantiate the alleged fine-tuning. On the basis of this analysis I argue that at present there is no unproblematic interpretation available for which it can be said that inflation solves the big bang model’s alleged fine-tuning problems. (shrink)

This is a reply to Chris Tweed's recent attempt to solve the problem of "nearly convergent knowledge" and thus defend a binary account of knowledge against a contrastivist alternative. Ingenuous as his proposal is, it still does not solve the problem.

A novel solution to the knowability paradox is proposed based on Kant’s transcendental epistemology. The ‘paradox’ refers to a simple argument from the moderate claim that all truths are knowable to the extreme claim that all truths are known. It is significant because anti-realists have wanted to maintain knowability but reject omniscience. The core of the proposed solution is to concede realism about epistemic statements while maintaining anti-realism about non-epistemic statements. Transcendental epistemology supports such a view by providing for a (...) sharp distinction between how we come to understand and apply epistemic versus non-epistemic concepts, the former through our capacity for a special kind of reflective self-knowledge Kant calls ‘transcendental apperception’. The proposal is a version of restriction strategy: it solves the paradox by restricting the anti-realist’s knowability principle. Restriction strategies have been a common response to the paradox but previous versions face serious difficulties: either they result in a knowability principle too weak to do the work anti-realists want it to, or they succumb to modified forms of the paradox, or they are ad hoc. It is argued that restricting knowability to non-epistemic statements by conceding realism about epistemic statements avoids all versions of the paradox, leaves enough for the anti-realist attack on classical logic, and, with the help of transcendental epistemology, is principled in a way that remains compatible with a thoroughly anti-realist outlook. (shrink)

Resolving the Ross and Prior paradoxes proved to be a difficult task. Its first two stages, involving the identification of the true natures of the implication and truth values, are described in the articles "Solving the Paradox of Material Implication – 2024" and "Solving Jörgensen's Dilemma – 2024". This article describes the third stage, which involves the discovery of missing modal operators and the Classical Modal Calculus. Finally, procedures for solving both paradoxes are provided.

Complex problem solving (CPS) and related topics such as dynamic decision-making (DDM) and complex dynamic control (CDC) represent multifaceted psychological phenomena. In a broad sense, CPS encompasses learning, decision-making, and acting in complex and dynamic situations. Moreover, solutions to problems that people face in such situations are often generated in teams or groups. In turn, this adds another layer of complexity to the situation itself because of the emerging issues that arise from the social dynamics of group interactions. This (...) framing of CPS means that it is not a single construct that can be measured by using a particular type of CPS task (e.g. minimal complex system tests), which is a view taken by the psychometric community. The proposed approach taken here is that because CPS is multifaceted, multiple approaches need to be taken to fully capture and understand what it is and how the different cognitive processes associated with it complement each other. (shrink)

The study ascertained mathematical problem-solving skills and self-efficacy as correlates of Pre-service NCE Mathematics Teachers’ Performance in South-East, Nigeria. Seven research questions guided the study while seven hypotheses were tested at 0.05 level of significance. Correlation research design was used for the study. The population of the study was 197 pre-service NCE Mathematics teachers in South-East, Nigeria. All the population of 197 was studied as sample because, it is small and manageable. Mathematics Problem-Solving Skill Test (MPSST) and Pre-Service (...) Teachers’ Self-Efficacy Questionnaire (PSTSEQ) were used as instruments for data collection. Both instruments were validated by three experts in science Education while reliabilities of MPSST and PSTSEQ were established using Cronbach Alpha method and coefficient values of 0.82 and 0.80 respectively were obtained which were considered high enough to confirm the instruments as reliable. Data were collected and analyzed using Pearson product moment correlation coefficient. The findings revealed that a high positive and significant relationship existed between mathematical problem-solving skills scores and academic performance scores and between self-efficacy scores and academic performance scores of pre-service NCE mathematics teachers. It was recommended among others that Mathematics lecturers should make conscious effort towards improving the mathematical problem-solving skills and self-efficacy of the pre-service NCE mathematics teachers through modeling, conditioning, and behaviour modification for improved academic performance in Mathematics. (shrink)

The ancient puzzle of Dion and Theon has given rise to a surprising array of apparently implausible views. For example, in order to solve the puzzle, several philosophers have been led to deny the existence of their own feet, others have denied that objects can gain and lose parts, and large numbers of philosophers have embraced the thesis that distinct objects can occupy the same space, having all their material parts in common. In this paper, I argue for an alternative (...) approach: I claim that human beings have ordinary parts—hands, heads, feet, and so on—but no extraordinary parts, such as ‘foot-complements’, the existence of which is essential to the puzzle. I rebut three objections to this approach: an objection that it is unacceptably metaphysically arbitrary, an objection that the view is incompatible with versions of the puzzle involving decapitation, and an objection concerning masses of matter. If we can believe that there are such things as hands and feet without involving ourselves in paradox, and without accepting large numbers of co-located material objects that share all their material parts, then that is what we should do. My view is the only known alternative which allows this. (shrink)

This paper argues that a view of science, expounded and defended elsewhere, solves the problem of induction. The view holds that we need to see science as accepting a hierarchy of metaphysical theses concerning the comprehensibility and knowability of the universe, these theses asserting less and less as we go up the hierarchy. It may seem that this view must suffer from vicious circularity, in so far as accepting physical theories is justified by an appeal to metaphysical theses in turn (...) justified by the success of science. But this is rebutted. A thesis high up in the hierarchy asserts that the universe is such that the element of circularity, just indicated, is legitimate and justified, and not vicious. Acceptance of the thesis is in turn justified without appeal to the success of science. It may seem that the practical problem of induction can only be solved along these lines if there is a justification of the truth of the metaphysical theses in question. It is argued that this demand must be rejected as it stems from an irrational conception of science. (shrink)

David Builes presents a paradox concerning how confident you should be that any given member of an infinite collection of fair coins landed heads, conditional on the information that they were all flipped and only finitely many of them landed heads. We argue that if you should have any conditional credence at all, it should be 1/2.

Following Marr’s famous three-level distinction between explanations in cognitive science, it is often accepted that focus on modeling cognitive tasks should be on the computational level rather than the algorithmic level. When it comes to mathematical problem solving, this approach suggests that the complexity of the task of solving a problem can be characterized by the computational complexity of that problem. In this paper, I argue that human cognizers use heuristic and didactic tools and thus engage in cognitive (...) processes that make their problem solving algorithms computationally suboptimal, in contrast with the optimal algorithms studied in the computational approach. Therefore, in order to accurately model the human cognitive tasks involved in mathematical problem solving, we need to expand our methodology to also include aspects relevant to the algorithmic level. This allows us to study algorithms that are cognitively optimal for human problem solvers. Since problem solving methods are not universal, I propose that they should be studied in the framework of enculturation, which can explain the expected cultural variance in the humanly optimal algorithms. While mathematical problem solving is used as the case study, the considerations in this paper concern modeling of cognitive tasks in general. (shrink)

I put forward a micro realistic, probabilistic version of quantum theory, which specifies the precise nature of quantum entities thus solving the quantum wave/particle dilemma, and which both reproduces the empirical success of orthodox quantum theory, and yields predictions that differ from orthodox quantum theory for as yet unperformed experiments.

The inclusion problem for theories of gender arises when those theories inappropriately fail to include certain individuals in the gender categories to which they ought to belong. The inclusion problem affects both of the most influential traditions in feminist theorizing about gender: social-position accounts and identity accounts. I argue that the inclusion problem can be solved by adopting a structured theory of gender, which incorporates aspects of both social-position accounts and identity accounts. According to the theory I favor, an individual’s (...) gender is determined by their gender identity if they have one; otherwise, it is determined by their social position. My structured approach to gender offers a more direct solution to the gender inclusion problem than alternatives recently advocated by Barnes (2020), Jenkins (2023), and others. It also points the way to a simple solution to inclusion problems that arise at the level of gendered language. (shrink)

Journal of Social Philosophy, EarlyView.

This article addresses and resolves an epistemological puzzle that has attracted much attention in the recent literature—namely, the puzzle arising from Moorean anti-sceptical reasoning and the phenomenon of transmission failure. The paper argues that an appealing account of Moorean reasoning can be given by distinguishing carefully between two subtly different ways of thinking about justification and evidence. Once the respective distinctions are in place we have a simple and straightforward way to model both the Wrightean position of transmission failure and (...) the Moorean position of dogmatism. The approach developed in this article is, accordingly, ecumenical in that it allows us to embrace two positions that are widely considered to be incompatible. The paper further argues that the Moorean Puzzle can be resolved by noting the relevant distinctions and our insensitivity towards them: once we carefully tease apart the different senses of ‘justified’ and ‘evidence’ involved, the bewilderment caused by Moore’s anti-sceptical strategy subsides. (shrink)

Public arguments can be good or bad not only as a matter of logic, but also in the sense that speakers can _do_ good or bad things with arguments. For example, hate speakers use public arguments to contribute to the subordination of their targets. But how can ordinary speakers acquire the authority to perform subordinating speech acts? This is the ‘Authority Problem’. This paper defends a solution inspired by McGowan’s (Australas J Philos 87:389–407, 2009) analysis of oppressive speech, including against (...) concerns raised by McGowan (Just words: On speech and hidden harm, Oxford University Press, Oxford, 2019) herself. A _deflated_ kind of authority can be gained from the hate speaker’s standing in a norm-governed ‘activity of oppression’. We should be wary about engaging with such speakers in public argument. Even if we counter their arguments, we may still elevate their standing within that activity and so enable them to perform more pernicious speech acts than was previously possible. (shrink)

This article proposes a general strategy to overcome normative conflicts, namely, paradoxes represented in Standard Deontic Logic. This solution is based on preference relations between norms that circumvent situations of conflict. Pragmatic justifications of the proposed method are also given.

The assumption that positive affect leads to a better performance in simple cognitive tasks has become well established. We address the question whether positive and negative emotions differentially influence performance in complex problem-solving in the same way. Emotions were induced by positive or negative feedback in 74 participants who had to manage a computer-simulated complex problem-solving scenario. Results show that overall scenario performance is not affected, but positive and negative emotions elicit distinguishable problem-solving strategies: Participants with negative (...) emotions are more focused on the seeking and use of information. We discuss methodological requirements for investigating emotion influences in complex and dynamic cognitive tasks. (shrink)

The Problem of Nearly Convergent Knowledge is an updated and stronger version of the Problem of Convergent Knowledge, which presents a problem for the traditional, binary view of knowledge in which knowledge is a two-place relation between a subject and the known proposition. The problem supports Knowledge Contrastivism, the view that knowledge is a three-place relation between a subject, the known proposition, and a proposition that disjoins the alternatives relevant to what the subject knows. For example, if knowledge is contrastive, (...) I do not simply know that the bird in front of me is a goldfinch; instead, I know that the bird in front of me is a goldfinch rather than a raven or eagle or falcon. There is, however, a binary view of knowledge that overcomes even the Problem of Nearly Convergent Knowledge. I will give this binary view, show that it is motivated by the same considerations that motivate Knowledge Contrastivism, and argue that it avoids problematic consequences for our epistemic lives that Knowledge Contrastivism cannot. (shrink)

Abstract. Competition between developed and developing countries in developing the defense industry in the era of globalization has crossed the boundaries of a country's alliances. However, in the transfer of technology (ToT) process, it remains the object of domination by large countries, and developing countries remain confined in a rigid bureaucracy. Researchers offer a problem-solving approach to developing the defense industry experienced by developing countries. The researcher's first step describes the bureaucracy of developing countries, and then the researcher projects (...) the development of a strategy as a solution. The researcher realizes that the trial and error approach offered by Karl R. Popper demands further testing, so the researcher also explains the weaknesses of the solutions offered. The researcher concludes that the Problem-Solving approach can solve problems and anticipate problems. Problem-Solving is no longer seen as containing a simple method but an epistemology; Solutions appear before the problem itself appears. The researcher corrected the problem- solving position, as explained by Ian Angus, who moved from one line to a new line continuously. Researchers see not moving lines and continuing but reality entering a broader flow. (shrink)

Two great problems of learning confront humanity: learning about the nature of the universe and about ourselves and other living things as a part of the universe, and learning how to become civilized. The first problem was solved, in essence, in the 17th century, with the creation of modern science. But the second problem has not yet been solved. Solving the first problem without also solving the second puts us in a situation of great danger. All our current (...) global problems have arisen as a result. What we need to do, in response to this unprecedented crisis, is learn from our solution to the first problem how to solve the second. This was the basic idea of the 18th century Enlightenment. Unfortunately, in carrying out this programme, the Enlightenment made three blunders, and it is this defective version of the Enlightenment programme, inherited from the past, that is still built into the institutional/intellectual structure of academic inquiry in the 21st century. In order to solve the second great problem of learning we need to correct the three blunders of the traditional Enlightenment. This involves changing the nature of social inquiry, so that social science becomes social methodology or social philosophy, concerned to help us build into social life the progress-achieving methods of aim-oriented rationality, arrived at by generalizing the progress-achieving methods of science. It also involves, more generally, bringing about a revolution in the nature of academic inquiry as a whole, so that it takes up its proper task of helping humanity learn how to become wiser by increasingly cooperatively rational means. The scientific task of improving knowledge and understanding of nature becomes a part of the broader task of improving global wisdom. The outcome would be what we so urgently need: a kind of inquiry rationally designed and devoted to helping us make progress towards a genuinely civilized world. We would succeed in doing what the Enlightenment tried but failed to do: learn from scientific progress how to go about making social progress towards as good a world as possible. (shrink)

The paradox of material implication has remained unresolved since antiquity because it was believed that the nature of implication was entailment. The article shows that this nature is opposition and therefore the name "implication" should be replaced with the name "competition". A solution to the paradox is provided along with appropriate changes in nomenclature, the addition of connectives and the postulate that the biconditional take over the role of the previous implication. In addition, changes to the nomenclature of logic gates (...) reflecting the competition in electronics are proposed. (shrink)

Attempts to engineer a generally intelligent artificial agent have yet to meet with success, largely due to the (intercontext) frame problem. Given that humans are able to solve this problem on a daily basis, one strategy for making progress in AI is to look for disanalogies between humans and computers that might account for the difference. It has become popular to appeal to the emotions as the means by which the frame problem is solved in human agents. The purpose of (...) this paper is to evaluate the tenability of this proposal, with a primary focus on Dylan Evans’ search hypothesis and Antonio Damasio’s somatic marker hypothesis. I will argue that while the emotions plausibly help solve the intracontext frame problem, they do not function to solve or help solve the intercontext frame problem, as they are themselves subject to contextual variability. (shrink)