Abstract: This research paper presents the development and evaluation of a neural network-based model for predicting fire alarms in smoke detection systems. Using a dataset from Kaggle containing 15 features and 3487 samples, we trained and validated a neural network with a three-layer architecture. The model achieved an accuracy of 100% and an average error of 0.0000003. Additionally, we identified the most influential features in predicting fire alarms.

This study aims to use the Asian knowledge model “APO” as a determinant for performance excellence in universities and identifying the most effecting factors on it. This study was applied on Al-Azhar University in Gaza strip. The result of the study showed that (APO) model is valid as a measure and there are four dimensions in the model affecting significantly more than the others (university processes, KM leadership, personnel, KM outputs). Furthermore, performance excellence produced though modernizing the means of education, (...) curriculum development, technology and flexibility in the organizational structure. The study recommends expanding the usage of (APO) model, enhancing the role of knowledge leadership, technology, organizational flexibility, sharing culture and incentive systems that encouraging innovation. (shrink)

Artificial intelligence (AI), deep learning, machine learning and neural networks represent extremely exciting and powerful machine learning-based techniques used to solve many real-world problems. Artificial intelligence is the branch of computer sciences that emphasizes the development of intelligent machines, thinking and working like humans. For example, recognition, problem-solving, learning, visual perception, decision-making and planning. Deep learning is a subset of machine learning in artificial intelligence that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Deep learning (...) is a technique used to generate face detection and recognize it for real or fake by using profile images and determine the differences between them. In this study, we used deep learning techniques to generate models for Real and Fake face detection. The goal is determining a suitable way to detect real and fake faces. The model was designed and implemented, including both Dataset of images: Real and Fake faces detection through the use of Deep learning algorithms based on neural networks. We have trained dataset which consists of 9,000 images for total in 150 epochs, and got the ResNet50 model to be the best model of network architectures used with 100% training accuracy, 99.18% validation accuracy, training loss 0.0003, validation loss 0.0265, and testing accuracy 99%. (shrink)

The article examines Greek philosopher Aristotle's understanding of mathematical numbers as pluralities of discreet units and the relations of unity and multiplicity. Topics discussed include Aristotle's view that a mathematical number has determinate properties, a contrast between Aristotle and French philosopher René Descartes in terms of their understanding of number and Aristotle's description of ways to understand eidetic numbers.

In his Responsibility and the moral sentiments , Wallace develops the idea that we should think of what it is to be morally responsible for an act in terms of norms for holding someone responsible for that act. Smith has recently claimed that Wallace's approach and those like it are 'fundamentally misguided'. She says that such approaches make the mistake of incorporating conditions for 'actively blaming' others into the basic conditions for being responsible, when in fact the conditions for active (...) blame 'go beyond' the basic conditions. In this essay, I argue that Smith's otherwise illuminating discussion of these 'Normativist' approaches does not undermine them. Specifically, I maintain that being actively blamable by certain persons with the relevant standing is actually constitutive of being responsible for at least some acts. By distinguishing between persons with different sorts of standing, a Normativist approach can avoid Smith's challenge. My larger aim is thus to clarify and defend the Normativist approach. (shrink)

Are plants conscious? Most knowledgeable people say they aren't. A small minority say they are. Others say we don't know. Virtually all assume the predicate '– is conscious' is fully determinate; plants are or aren't in its extension. Appealing to Mark Wilson's work on predicates and concepts, I challenge that assumption, proposing that the predicate isn't determinate for plants. I offer the start of an explanation for why this is so. We tacitly rely on many empirical correlations when we correctly (...) characterize creatures as conscious, but we have limited knowledge of those facts, and plants differ significantly from animals, while also being substantively similar to them. We don't yet know what it would be for them to be conscious. (shrink)

The Extended Mind Hypothesis (EM) strikes many as counter-intuitive. It is the claim that things outside of human bodies are literally parts of human minds. But EM rests upon a plausible idea: that the world itself is minded when parts of it are functionally equivalent to parts of human minds. In this paper, we address two intuitive criticisms of EM recently expressed by Sam Coleman (Coleman, 2011). The first is that the examples of extended mind offered by advocates of EM (...) are not parts of minds, because subjects are not “conscious” or “immediately aware” of those parts of the external world. The second is that the principle at the heart of the argument for EM is biased in favor of EM. We show how both of these intuitive criticisms of EM fail. Our ultimate aim is to suggest that the counter-intuitiveness of EM is not a barrier to its acceptance. (shrink)

How or in virtue of what does any one particular action differ from another? Available views on the issue of action individuation tend to emphasize the descriptive features of actions, such as where and when they occur, or what they cause or are caused by. I contend instead that actions are individuated by their normative features, such as what licenses them and what they license in turn. In this essay, deploying a suggestion from Sellars and Brandom, I argue specifically that (...) actions are individuated by their normative function or role. (shrink)

Your perception of reality is not reality itself. The lens through which you view the world―your unique perspective―shapes everything you experience. But how do perception and perspective interact? And how can understanding their subtle differences empower you to live a more examined and meaningful life? In this book, we'll explore the cognitive processes forming the human experience's foundation. Through compelling case studies and exercises, we'll illustrate how our perceptions are sculpted beginning in childhood by innate biases and environmental influences outside (...) our control, and how perspective, the position from which we observe, retains potential for growth if we cultivate mindfulness and open-mindedness. Learning to distinguish perception from perspective is the first step to recognizing unconscious patterns and enlarging our sphere of thought. This journey of self-discovery is challenging but rewarding. Within these pages, you will find a map to reclaiming ownership over your internal and external worlds. The choice to see more clearly has never been more urgent or liberating. (shrink)

In this essay, we draw on John Haugeland’s work in order to argue that Burge is wrong to think that exercises of perceptual constancy mechanisms suffice for perceptual representation. Although Haugeland did not live to read or respond to Burge’s Origins of Objectivity, we think that his work contains resources that can be developed into a critique of the very foundation of Burge’s approach. Specifically, we identify two related problems for Burge. First, if (what Burge calls) mere sensory responses are (...) not representational, then neither are exercises of constancy mechanisms, since the differences between them do not suffice to imply that one is representational and the other is not. Second, taken by themselves, exercises of constancy mechanisms are only derivatively representational, so merely understanding how they work is not sufficient for understanding what is required for something, in itself, to be representational (and thereby provide a full solution to the problem of perceptual representation). (shrink)

The extended mind hypothesis (EMH) is the claim that the mind can and does extend beyond the human body. Adams and Aizawa (A&A) contend that arguments for EMH commit a ‘coupling constitution fallacy’. We deny that the master argument for EMH commits such a fallacy. But we think that there is an important question lurking behind A&A's allegation: under what conditions is cognition spread across a tightly coupled system? Building on some suggestions from Haugeland, we contend that the system must (...) exhibit a distinctive sort of semantic activity, semantic activity that the system as a whole takes responsibility for. (shrink)

Abstract: The efficiency and performance of sorting algorithms play a crucial role in various applications and industries. In this research paper, we present a comprehensive comparative analysis of popular sorting algorithms on datasets of different sizes and characteristics. The aim is to evaluate the algorithms' performance and identify their strengths and weaknesses under varying scenarios. We consider six commonly used sorting algorithms: QuickSort, TimSort, MergeSort, HeapSort, RadixSort, and ShellSort. These algorithms represent a range of approaches and techniques, including divide-and-conquer, hybrid (...) sorting, and simple comparison-based methods. To assess their performance, we employ a diverse set of datasets, including the Iris dataset (1K), student dataset (5.8K), Wine dataset (6.5K), Uniform (10K), Normal (10K), Exponential (10K), Bimodal (10K), Yelp dataset (10K), MNIST dataset (42K), Uniform (100K), Normal (100K), Exponential (100K), Bimodal (100K), Uniform (500K), Normal (500K), Exponential (500K), Bimodal (500K), Uniform (1M), Normal (1M), Exponential (1M), and Bimodal (1M). These datasets cover a wide range of sizes and characteristics, allowing us to analyze the algorithms' performance across different dimensions. We measure and compare several key metrics, including execution time, memory usage, algorithmic complexity and stability. By analyzing these metrics, we gain insights into the efficiency and suitability of each algorithm for different dataset sizes and characteristics. We also discuss the implications of the findings in practical applications. Our results reveal important trade-offs among the sorting algorithms. While some algorithms excel in certain scenarios, others demonstrate better scalability or memory efficiency. We identify the best-performing algorithms for specific dataset characteristics and highlight their strengths and limitations. This research can assist developers and practitioners in selecting appropriate sorting algorithms based on their specific requirements and dataset characteristics. In conclusion, this comparative analysis provides a valuable contribution to the understanding of sorting algorithm performance. The findings contribute insights into the efficiency and suitability of popular sorting algorithms across datasets of different sizes and characteristics. By evaluating key metrics and discussing the implications, we offer guidance for selecting the most appropriate sorting algorithm in various practical scenarios. (shrink)

Abstract: Artificial Intelligence (AI) has rapidly advanced, offering significant potential to transform business decision-making. This paper delves into how AI can be harnessed to enhance strategic decision-making within business contexts. It investigates the integration of AI-driven analytics, predictive modeling, and automation, emphasizing their role in improving decision accuracy and operational efficiency. By examining current applications and case studies, the paper underscores the opportunities AI offers, including improved data insights, risk management, and personalized customer experiences. It also addresses the challenges businesses (...) face when adopting AI, such as data privacy concerns, integration difficulties, and the need for skilled professionals. The paper concludes by offering recommendations for successfully implementing AI solutions to maximize benefits while mitigating potential challenges. (shrink)

How many factors, i.e. departures from normality, are necessary to explain a delusion? Maher’s classic one-factor theory argues that the only factor is the patient’s anomalous experience, and a delusion arises as a normal explanation of this experience. The more recent two-factor theory, on the other hand, contends that a second factor is also needed, with reasoning abnormality being a potential candidate, and a delusion arises as an abnormal explanation of the anomalous experience. In the past few years, although (...) there has been an increasing number of scholars offering a variety of arguments in defence of Maher’s one-factor theory, these arguments have not been adequately addressed by two-factor theorists. This paper aims to address this gap by critically examining the arguments on three crucial issues: the intelligibility of delusions, the dissociation between anomalous experiences and delusions, and the empirical evidence of a second factor. I will argue that the Maherian notion of anomalous experience is not sufficient for explaining delusions and the two-factor theory is on the right track in its search for the missing factor in the aetiology of delusions. (shrink)

Could a Nazi soldier or terrorist be courageous? The Courage Problem asks us to answer this sort of question, and then to explain why people are reluctant to give this answer. The present paper sheds new light on the Courage Problem by examining a controversy sparked by Bill Maher, who claimed that the 9/11 terrorists’ acts were ‘not cowardly.’ It is shown that Maher's controversy is fundamentally related to the Courage Problem. Then, a unified solution to both problems (...) is provided. This solution entails that gutsy people who lack good ends are not courageous. (shrink)

We proceed to describe a model for the formation and maintenance of polythematic delusions encountered in schizophrenia, which is in adequacy with Brendan Maher's account of delusions. Polythematic delusions are considered here as the conclusions of arguments triggered by apophenia that include some very common errors of reasoning such as post hoc fallacy and confirmation bias. We describe first the structure of reasoning which leads to delusions of reference, of telepathy and of influence, by distinguishing between the primary, secondary, (...) tertiary and quaternary types of delusional arguments. These four levels of arguments correspond to a stage the nature of which is respectively instantial, inductive, interpretative at a monothematic level and interpretative at a polythematic level. We also proceed to identify accurately the fallacious steps in the corresponding reasoning. We expose then the role of apophenia in the elaboration of delusional ideas. Lastly, we describe the role played by the hallucinations in the present model. (shrink)

I describe Maher's utility-based account of theory acceptance, generally approvingly but with a few questions and doubts.

This paper is about whether shifts in attention can alter what it is like to think. I begin by taking up the hypothesis that attention structures consciousness into a centre and a periphery, following Watzl's (2014; 2017) understanding of the distinction between the centre and periphery of the field of consciousness. Then I show that introspection leads to divided results about whether attention structures conscious thought into a centre and a periphery -- remarks by Martin (1997) and Phillips (2012) suggest (...) a negative answer, whereas remarks by Maher (1923) and Chudnoff (2013) suggest a positive answer. Lastly, I argue that there is behavioural evidence that lends weight to the 'yes' side of the introspective dispute. My argument makes use of Garavan's (1998) study of forming and maintaining two mental counts at once. (shrink)

The arguments for Bayesianism in the literature fall into three broad categories. There are Dutch Book arguments, both of the traditional pragmatic variety and the modern ‘depragmatised’ form. And there are arguments from the so-called ‘representation theorems’. The arguments have many similarities, for example they have a common conclusion, and they all derive epistemic constraints from considerations about coherent preferences, but they have enough differences to produce hostilities between their proponents. In a recent paper, Maher (1997) has argued that (...) the pragmatised Dutch Book arguments are unsound and the depragmatised Dutch Book arguments question begging. He urges we instead use the representation theorem argument as in his (1993). In this paper I argue that Maher’s own argument is question-begging, though in a more subtle and interesting way than his Dutch Book wielding opponents. (shrink)

The present article seeks to study in detail the ideology of Salafism-Jihadism, presenting a synthesis of the system of thought that lies behind the militants of al-Qaeda and the Islamic State, listing its main characteristics and framing it in terms of a modern experience. The account of valuable academic scholars such as Quintan Wiktorowicz, Roel Meijer, Thomas Hegghammer and Shiraz Maher will be taken into consideration. As the paper shows, the effort to isolate a pure Salafi-Jihadi ideological core is (...) a nev- er-ending work, especially because of the complex and multifaceted jihadi galaxy and the struggle for power and leadership between the various militant groups, among all al-Qaeda and the Islamic State. Nevertheless, the identity of Salafi-Jihadism as a revolution- ary soteriology is the starting point for any further research: in fact, revolution and salvation combine together in this explosive ideological construction that should be challenged not solely by military actions but also, and even more, by intellectual and cultural disputes. (shrink)