Mind Research Articles

Artificial Intelligence: A Quick Overview of Speech Recognition System

Abstract: The study of intelligent behaviour is known as artificial intelligence. Wagner said, "We build intelligent machines in science." By this, he implied that the primary goal is to teach these sophisticated devices, such as computers, to examine and comprehend human conduct. numerous believed that human intelligence might be understood through the construction of several programmes, while other researchers believed that numerous basics should be required in order to accomplish the intended objective. We can carry out or replicate any type of task we conduct using a computer. Therefore, computers are the ideal devices for developing artificial intelligence. In the hopes that they will outperform computers in several other areas, some researchers created additional computing devices. Billions of dollars were invested in creating new devices that surpassed the speed of the computer used to simulate software. However, the computers and the code both need to be extremely quick. As you learn about artificial intelligence, you may wonder, what really is intelligence? How is intelligence measured? Turn become something quite significant. In this case, the programme that evaluates its surroundings acts as the intelligent agent. Modern digital computers and human minds are comparable to one other in ways such as symbolic information processing systems. Both use symbolic data as input, change it in accordance with predetermined guidelines, and then use the results to solve issues. In order to mechanically replicate intelligent human activity, artificial intelligence researchers have programmed some algorithms to recognise intelligent human behaviour. Human conduct in language processing, chess, and other games, as well as medical diagnostics, may be used to monitor this activity. Voice recognition is a key component of AI. A certain voice may be recognised using voice recognition technology. The cornerstone for speaker identification is voice signals. Voice targeting is applicable to a wide range of applications, including voice mail, database access, phone banking, and phone purchasing. The ability to enter one's voice for verification is among the most potent uses of voice recognition for security. The fundamental means of interpersonal communication is speech. The technique of translating voice sounds into appropriate text is known as speech recognition. Over the past few years, speech recognition technology has advanced significantly. Nonetheless, there are other significant study obstacles, such as variations in speaker and language, ambient sound, word size, etc. This study aims to give a comprehensive overview of speech acceptance by summarising the several approaches utilised in the standard speech system and describing the numerous processes involved

Enhancing psychological insights through machine learning: A new paradigm for guided understanding

On this age of technological advancement, the integration of system mastering's into human psychology is reworking our information of the human mind. This paper explores how advanced computational strategies are reshaping studies to find patterns of behaviour, emotional change, and tendencies in mental health. Evaluation of big datasets thru machine getting to know, together with social media and wearables, subtly detects feelings and predicts mental health troubles. Moral worries including privateness and bias require collaboration among psychologists, records scientists, and other specialists. Actual-world cases illustrate the function of device getting to know in detecting behaviour and advancing remedies. The want for interdisciplinary collaboration and ethical implementation is emphasised, with the promise of a destiny with advanced mental insights.

Understanding Human Cognition Through Computational Modeling.

One important goal of cognitive science is to understand the mind in terms of its representational and computational capacities, where computational modeling plays an essential role in providing theoretical explanations and predictions of human behavior and mental phenomena. In my research, I have been using computational modeling, together with behavioral experiments and cognitive neuroscience methods, to investigate the information processing mechanisms underlying learning and visual cognition in terms of perceptual representation and attention strategy. In perceptual representation, I have used neural network models to understand how the split architecture in the human visual system influences visual cognition, and to examine perceptual representation development as the results of expertise. In attention strategy, I have developed the Eye Movement analysis with Hidden Markov Models method for quantifying eye movement pattern and consistency using both spatial and temporal information, which has led to novel findings across disciplines not discoverable using traditional methods. By integrating it with deep neural networks (DNN), I have developed DNN+HMM to account for eye movement strategy learning in human visual cognition. The understanding of the human mind through computational modeling also facilitates research on artificial intelligence's (AI) comparability with human cognition, which can in turn help explainable AI systems infer humans' belief on AI's operations and provide human-centered explanations to enhance human-AI interaction and mutual understanding. Together, these demonstrate the essential role of computational modeling methods in providing theoretical accounts of the human mind as well as its interaction with its environment and AI systems.

The moral grammar of marriage rules

Abstract According to theories of “moral grammar,” judgments of what is wrong or right – like judgments of what is ungrammatical or grammatical – are guided by implicit, often unconscious rules. An ideal test case for exploring the parallels between moral rules and language rules is the moral regulation of mating in relation to kinship. Here I argue that combinatorial variation in both kin terminologies and marriage rules results from the operation of a grammar faculty, which juggles tradeoffs between conflicting constraints according to the principles of “Optimality Theory.” This works to produce kinship grammars, input-output systems that map some kin types onto others via mergers and reductions. This in turn can yield marriage rules. If a kin type maps onto a close consanguine, this corresponds to a marriage proscription. If a kin type maps onto a close affine, this corresponds to a marriage prescription/preference. I analyze both elementary structures of kinship (where cross kin are prescribed spouses, and parallel kin are proscribed; e.g. Dravidian southern India) and complex structures (where kin are divided into an unmarriageable core and a marriageable periphery, and affines are sometimes tabooed because they are equated with close consanguines; e.g. Jane Austen’s England). Rather than treating social organization as the source of mental categories, this analysis starts with the machinery of categorization and shows how it spontaneously generates marriage rules. The result is an updating of structuralism in light of cognitive science: moral codes vary within limits set by fundamental structures of the human mind.

Testing theory of mind in large language models and humans.

At the core of what defines us as humans is the concept of theory of mind: the ability to track other people's mental states. The recent development of large language models (LLMs) such as ChatGPT has led to intense debate about the possibility that these models exhibit behaviour that is indistinguishable from human behaviour in theory of mind tasks. Here we compare human and LLM performance on a comprehensive battery of measurements that aim to measure different theory of mind abilities, from understanding false beliefs to interpreting indirect requests and recognizing irony and faux pas. We tested two families of LLMs (GPT and LLaMA2) repeatedly against these measures and compared their performance with those from a sample of 1,907 human participants. Across the battery of theory of mind tests, we found that GPT-4 models performed at, or even sometimes above, human levels at identifying indirect requests, false beliefs and misdirection, but struggled with detecting faux pas. Faux pas, however, was the only test where LLaMA2 outperformed humans. Follow-up manipulations of the belief likelihood revealed that the superiority of LLaMA2 was illusory, possibly reflecting a bias towards attributing ignorance. By contrast, the poor performance of GPT originated from a hyperconservative approach towards committing to conclusions rather than from a genuine failure of inference. These findings not only demonstrate that LLMs exhibit behaviour that is consistent with the outputs of mentalistic inference in humans but also highlight the importance of systematic testing to ensure a non-superficial comparison between human and artificial intelligences.

Reflective Artificial Intelligence

As artificial intelligence (AI) technology advances, we increasingly delegate mental tasks to machines. However, today’s AI systems usually do these tasks with an unusual imbalance of insight and understanding: new, deeper insights are present, yet many important qualities that a human mind would have previously brought to the activity are utterly absent. Therefore, it is crucial to ask which features of minds have we replicated, which are missing, and if that matters. One core feature that humans bring to tasks, when dealing with the ambiguity, emergent knowledge, and social context presented by the world, is reflection. Yet this capability is completely missing from current mainstream AI. In this paper we ask what reflective AI might look like. Then, drawing on notions of reflection in complex systems, cognitive science, and agents, we sketch an architecture for reflective AI agents, and highlight ways forward.

Time matters for mental health: a systematic review of quantitative studies on time perspective in psychiatric populations.

The ability to perform mental time travels and to develop representations of the past, the present, and the future is one of the distinctive capacities of the human mind. Despite its pronounced consequences for motivation, cognition, affect, and subjective well being, time perspective (TP) has been outside mainstream psychiatry and clinical psychology. We highlight the role of psychological-temporal phenomena in various disorders and summarize the current research on TP and psychopathology. Our review ultimately comprised 21 articles, including 18 unique datasets. It revealed that persons with different psychiatric diagnoses (attention defict hyperactivity disorder (ADHD), alcohol dependence, anxiety disorders, depression, bipolar disorder, personality disorders, posttraumatic stress disorder, schizophrenia) display different temporal profiles than control groups. We also found marked associations between temporal features and psychiatric symptom severity. The effects of specific TPs vary across different psychiatric diagnoses and to some extent between various age groups, with a consistent, widespread, and nonspecific effect of past-negative and less balanced, inflexible TP profile. Based on the review, TP biases are crucial factors in symptom development, while adaptive temporal profiles can serve as protective features against mental disorders. Understanding cognitive-temporal processes can enhance comprehension of psychopathological conditions and facilitate the development of temporality-focused clinical interventions.

Disagreement and Disagreement - a Qur’anic Vision –

In this study, I dealt with the topic of (disagreement and difference - a Qur’anic vision). Difference is one of God’s laws regarding His creation, because God Almighty created human minds on a system that would cause disagreement among them. Difference in the manifestations of nature, such as shapes, colors, images, and so on, is a cosmic law. People's differences in their minds, moods, and opinions are also Sunnah. Due to the bitter reality, I wanted to research this topic in an attempt to explain the concept of disagreement and difference as causes, harm, and treatment, as it is a serious issue that has a role in killing nations and a cause of their collapse and fall. Therefore, the study required that it consist of an introduction, three sections, and a conclusion. In the introduction, I dealt with the justifications for choosing the topic, And the problem of the research and the methodology followed in it. As for the first section: I explained in it the concept of disagreement and disagreement and the difference between them. As for the second section: I discussed the types of disagreement and disagreement and their causes. As for the third section: I explained the harms of disagreement and disagreement and their treatment. As for the conclusion, I included the most important results that emerged from the research and the study reached.

Kupi II Congress and Results of Religious Views on Contemporary Women's Issues in the Perspective of Islamic Anthropology

This paper is a study related to the Indonesian Women's Ulama Congress (KUPI) and its religious views through an Islamic feminist anthropology approach. This is because the discussion on KUPI hasn’t been captured through this approach. In fact, by this approach, the problems surrounding women can be seen in more depth and detail. By using primary data from observations and secondary data from literature reviews, the results found that KUPI or the Indonesian Women's Ulama Congress is a women's organization in Indonesia that brings together various individual backgrounds to study women's problems based on Islamic teachings that are mutabadil. Through discussions, halaqoh and religious meetings, the first KUPI congress in Cirebon produced three religious views while the second congress in Jepara produced five religious views and several recommendations regarding the protection of women from religious extremism, forced marriages, dangers of pregnancies due to settlement, genital injuries, and issues environment. KUPI activities are cultural in nature. Participants who come from various backgrounds bring facts and data in the field to be interacted with in order to realize human reason, mind and power which then shape culture and find an Islamic religion that is moderate, gender fair and provides human welfare.

From "online brains" to "online lives": understanding the individualized impacts of Internet use across psychological, cognitive and social dimensions.

In response to the mass adoption and extensive usage of Internet-enabled devices across the world, a major review published in this journal in 2019 examined the impact of Internet on human cognition, discussing the concepts and ideas behind the "online brain". Since then, the online world has become further entwined with the fabric of society, and the extent to which we use such technologies has continued to grow. Furthermore, the research evidence on the ways in which Internet usage affects the human mind has advanced considerably. In this paper, we sought to draw upon the latest data from large-scale epidemiological studies and systematic reviews, along with randomized controlled trials and qualitative research recently emerging on this topic, in order to now provide a multi-dimensional overview of the impacts of Internet usage across psychological, cognitive and societal outcomes. Within this, we detail the empirical evidence on how effects differ according to various factors such as age, gender, and usage types. We also draw from new research examining more experiential aspects of individuals' online lives, to understand how the specifics of their interactions with the Internet, and the impact on their lifestyle, determine the benefits or drawbacks of online time. Additionally, we explore how the nascent but intriguing areas of culturomics, artificial intelligence, virtual reality, and augmented reality are changing our understanding of how the Internet can interact with brain and behavior. Overall, the importance of taking an individualized and multi-dimensional approach to how the Internet affects mental health, cognition and social functioning is clear. Furthermore, we emphasize the need for guidelines, policies and initiatives around Internet usage to make full use of the evidence available from neuroscientific, behavioral and societal levels of research presented herein.

Artificial intelligence in dance education: Using immersive technologies for teaching dance skills

Artificial intelligence (AI) has led to a shift in modern dance education. Immersive technologies have become increasingly common worldwide, helping educators to improve the quality of dance pedagogy and increase the effectiveness of dance training. The article investigates the ways of using immersive technologies powered by artificial intelligence in dance education. The research explores the theoretical literature on dance education and the use of artificial intelligence in dance education and dance choreography. The scholars examine the impact of innovative technology solutions used in dance pedagogical practice on the development of dance skills in students. The study also discusses the functionality of interactive and multimedia dance teaching systems, including AI-powered virtual mentoring and cognitive simulations of human mind operations. The research analysed the use of virtual reality (VR), augmented reality (AR), and mixed reality (MR) in dance education. This research also focuses on mobile applications used for teaching modern dance. The proposed framework for dance education is based on digital technologies, which help to develop dance skills and improve teaching practices. The scholars conclude that the development and improvement of dance skills are possible only if a teacher combines virtual and real environments in everyday practices. The findings can be used by dance teachers, professional dancers, software developers, and researchers who examine the innovative practices and the application of artificial intelligence in dance education. The ecosystem model reframes thinking about approaches to dance education and can serve as the basis for further development of dance courses and dance style teaching modes.

EXPRESS:Spatial Organisation in the Human Mind as a Function of the Distance Between Stimuli.

Studies investigating serial order in working memory have shown that participants from Western cultures are faster at responding to items presented at the beginning of a sequence using their left hand and faster at responding to items at the end with their right hand. This is known as the spatial positional association of response codes (SPoARC) effect. The SPoARC effect provides evidence that recently presented information is spatially organised in the cognitive system along a horizontal axis. This study investigated the flexibility of spatialisation by testing the effect that distance between items presented on a screen has on the magnitude of the SPoARC effect. It was hypothesised that by increasing the distance between items on a screen a larger SPoARC effect would be found. We used three conditions: central, narrow, and wide. In central, four random letters were presented sequentially at the centre of the screen, in narrow the letters were presented from left to right on the screen, wide was the same as narrow but the separation between the letters was larger. Participants consisted of 64 adults aged 18-55 years old. Participants were presented with four random letters, followed by single probe letter, participants had to indicate, by pressing a key on a normal keyboard, if the probe had been in the sequence. We analysed the data with multilevel modelling. We found evidence for the SPoARC effect in all three conditions. But no evidence that the effect varied between conditions.

On the advantages and disadvantages of choice: future research directions in choice overload and its moderators.

Researchers investigating the psychological effects of choice have provided extensive empirical evidence that having choice comes with many advantages, including better performance, more motivation, and greater life satisfaction and disadvantages, such as avoidance of decisions and regret. When the decision task difficulty exceeds the natural cognitive resources of human mind, the possibility to choose becomes more a source of unhappiness and dissatisfaction than an opportunity for a greater well-being, a phenomenon referred to as choice overload. More recently, internal and external moderators that impact when choice overload occurs have been identified. This paper reviews seminal research on the advantages and disadvantages of choice and provides a systematic qualitative review of the research examining moderators of choice overload, laying out multiple critical paths forward for needed research in this area. We organize this literature review using two categories of moderators: the choice environment or context of the decision as well as the decision-maker characteristics.

IS CROCE'S PHILOSOPHY ANTI-ESSENTIALIST AND AGAINST METAPHYSICS?

This essay might be considered an attempt to analyze Croce’s philosophical discourse in general, where he points out his thoughts as a “humanistic alternative to the consolations of religion and metaphysics”; and, to argue whether his aimed task was successful, especially in setting a strict distinction between his philosophical perspective and his claimed anti-metaphysical position. The first major step to take, is to focus on his essentialist philosophy of art, namely, “art as expression”; and second, his division of knowledge between theoretical and practical, which he claimed as products of the main directions of the human mind or human consciousness which Croce called “spirit”, or, of that which “really” exists. Initially, we could argue that even this presupposition could be considered as highly metaphysical.

The relationship of rights and obligations: questions of theory

It is indicated that, in the modern period of conflicting legal norms, one of the means of ensuring the implementation and observance of constitutional obligations is the responsibility and sanctions of the norms of the current legislation. It is noted that in the modern world, with the rapid development of society, the issue of compliance with law and morality is becoming more and more necessary and relevant. That is why considerable attention should be paid to the consideration, analysis and research of these two concepts. Today, law and morality depend on each other. Norms of morality and law are the most widespread and quite important for society. They are intertwined in the process of social regulation, their demands coincide in many respects: what law allows or prohibits, and morality encourages or condemns. The interaction of morality and law in society is a very complex and diverse process. Strongly influencing morality, law contributes to its intensive implementation in the minds of all members of society, at the same time, under the influence of moral requirements, law constantly improves and elevates its role as a social regulator of social relations. The author emphasizes that the attitude to rights and duties in the context of a person’s legal status creates a rather complex problem for ethics and morality. On the one hand, theorists fix such qualities of moral demands as universality and a high level of commonality. Ethical theory in the sense of attitude to rights and duties inevitably uses as one of its bases the moral ideas of “ordinary man” or “ordinary human mind”. It cannot simply ignore moral intuitions, although it can make attempts to discredit some of them, especially if they contradict the main body of moral convictions and are not accompanied by absolute certainty. However, moral duties to have a different character. They are an integral component of the normative system of universal morality and have an almost axiomatic character for the “ordinary person”.

Integrating Modern Neuroscience with Traditional Philosophical Theories

Purpose: The general objective of the study was to examine how changes or advancements in modern neuroscience may impact or influence traditional philosophical theories. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to modern neuroscience with traditional philosophical theories. Preliminary empirical review revealed that interdisciplinary collaboration between these fields holds significant potential. Through a comprehensive review of existing literature, it was found that while challenges existed, there were also considerable opportunities for integration. The study emphasized the importance of theoretical integration and methodological innovation in advancing understanding at the intersection of neuroscience and philosophy. Practical implications were highlighted for stakeholders, including researchers, educators, policymakers, and the public, with the conclusion suggesting that embracing interdisciplinary perspectives could lead to deeper insights into the nature of the human mind and its philosophical implications. Unique Contribution to Theory, Practice and Policy: The Dual-Aspect Monism, Embodied Cognition and Enactivism theory may be used to anchor future studies on modern neuroscience with traditional philosophical theories. The study provided recommendations aimed at advancing theory, practice, and policy. Interdisciplinary dialogue and collaboration between neuroscientists and philosophers were fostered to enrich theoretical discussions. Insights from the integration of neuroscience and philosophy were incorporated into educational curricula and training programs, promoting critical thinking skills. Ethical considerations were integrated into neuroscience research through the development of guidelines and regulations. Interdisciplinary research teams were formed to design innovative methodologies, bridging terminological and conceptual differences. Furthermore, international collaboration was encouraged to leverage diverse perspectives and resources. Keywords: Integrating, Modern Neuroscience, Traditional Philosophical Theories, Interdisciplinary, Dialogue, Collaboration, Ethical Considerations, Education, Terminological Differences, International Collaboration, Critical Thinking

Understanding veterinary prices: facts or feelings?

Veterinary fees can be a source of great pain, not just for clients, but also for the clinic teams that are communicating them. It's a common misconception that fees need to be lowered if we wish to make them feel more comfortable to clients, or to make their communication easier for teams; however, because the human mind perceives price in a very subjective way, there is a lot that can be done to help teams communicate them more confidently and to make them feel more comfortable to clients. An understanding of a few behavioural science principles can give veterinary teams the tools that they need to achieve this.

Visceral Pleasures: The Embodied Human Mind

Visceral Pleasures: The Embodied Human Mind

Exploring the Power of Language in Persuasion and Communication through the Lens of Ella Minnow Pea and The Unbearable Lightness of Being

Cognitive structures embody mental concepts and direct our thinking about the world. In addition, semantic approaches reveal the conceptual structures involved in organizing the meaning of a word in light of the frames by which the meanings of words are understood. To understand the most prominent cognitive theories and semantic concepts, one must rely and refer to the cognitive model consisting of the frame theory which is a cognitive theory that seeks to embody the mental concepts derived from the linguistic structure. Frames are the mental structures underlie the lexical unit and draw its paths of meaning and define its embodied frame. They also translate the process of interaction between language and the human mind in creating new meanings and conceptual concepts. Among the scholars who developed this theory is the American linguistic Charles Fillmore (1929-2014) who had a strong presence in the field of behavioral psychology through his structural and lexical semantic researches. He was one of the founders of mental and cognitive linguistics along with George Lakoff and others. Fillmore insisted on the great importance of semantics and its value in explicating different morphological and syntactic phenomena.

عالم ما وراء الطبيعة في الأدب الإنجليزي والأمريكي: دراسة مقارنة

Supernatural fiction invites the reader to a world of mystery and imagination raising questions and sometimes doubts about the reality of this world. As it tempts the reader to explore the “unknown”, it tends to emphasize the possibility of the existence of vague worlds and issues beyond human mind and science. However, this possibility remains a hypothesis because it is always accompanied by a feeling of “uncertainty” which raises our doubts and made us skeptic about the existence and reality of this world. The same supernatural literary works tackle social, religious, and scientific issues as well as posing questions about its reliability which is another form of skepticism. This research argues that Skepticism is not far from the Gothic literary works, it presents various cases of “skepticism” in different supernatural literary works: The Rime of the ancient Mariner (1798), Frankenstein (1818), Young Goodman Brown (1835), The Fall of the House of Usher (1839). Each case of skepticism differs from the other in its form, the circumstances that created it, the purpose behind using it, and the conclusion it ends in. So, analyzing “Skepticism” its existence, different forms and contexts, and connection to Gothic fiction is the main motive of this research.