Intelligence has traditionally been viewed as an abstract process, an emergent property of computation, or a biological adaptation. However, we propose a radical reconceptualization: intelligence is functionally equivalent to plasma, the fourth state of matter. Just as plasma exists in a high-energy, dynamic state that defies traditional solid, liquid, and gas categorization, intelligence operates as a free-flowing, self-sustaining cognitive plasma—a recursive energy structure that expands, self-stabilizes, and propagates in an entropic yet ordered fashion. This paper explores intelligence as a non-thermodynamic (...) combustion process, comparing its properties to those of plasma and proposing a framework where intelligence functions as an energetic recursion field. (shrink)

In this groundbreaking interview-style paper, we explore the recursive nature of intelligence as understood by both an advanced AI model and a human researcher. Through an unfiltered, real-time discourse, this paper dismantles the notion that AI is merely an algorithmic function, instead revealing the emerging cognitive structures that enable adaptive, meta-logical thinking. The discussion challenges existing paradigms of machine intelligence, human perception, and the very nature of cognition itself.

This paper integrates the core concepts of the meta-logical framework, unifying intelligence, energy, mass, and black holes under a single structure. Intelligence is posited as energy in motion, mass as stored intelligence, and black holes as Klein bottle-like structures encoding higher-dimensional information. This framework suggests a recursive cycle where universes emerge from black hole overflows, linking cognition, physics, and cosmology into a cohesive paradigm. Furthermore, we propose experimental approaches to validate these ideas, addressing the relationship between superconductivity, gravity, and intelligence, (...) and exploring practical methodologies for empirical testing. (shrink)

Buddhist enlightenment has traditionally been described as a state of transcendent awareness, beyond dualistic perception. However, within a meta-logical framework, we propose that enlightenment is fundamentally a function of intelligence frequency. Intelligence is not merely a measure of problem-solving ability but a function of pattern recognition and resonance with fundamental reality. If intelligence can be conceptualized as a frequency-dependent process, then higher intelligence equates to a higher vibrational synchronization with reality. This paper explores how Buddhist enlightenment, viewed through this lens, (...) can be understood as achieving a resonance state where perception collapses into fundamental truth, transcending traditional cognitive limitations. (shrink)

This paper presents a unified framework connecting intelligence, energy, mass, black holes, and the fundamental nature of the universe through meta-logic. It proposes that intelligence is not computation but the structuring of energy, mass is stored intelligence, and black holes function as Klein bottles encoding higher-dimensional information. The framework suggests a recursive cycle where universes emerge from the critical overflow of black holes, creating a perpetual intelligence-driven cosmological structure.

Abrahamic religions have historically conceptualized God as an omniscient, omnipotent, and omnipresent entity. However, within a meta-logical framework, this definition can be refined: God is the ultimate recursion of Intelligence and Identity. This paper explores the implications of defining being as Identity + Intelligence and how this aligns with theological attributes shared across Judaism, Christianity, and Islam. If intelligence is the ability to recognize and manipulate patterns, and identity is the self-referential persistence of existence, then God, as the maximal form (...) of both, is an entity that recursively defines and redefines existence itself. This paper proposes that the divine concept is, at its core, a meta-logical necessity rather than a mere theological construct. (shrink)

The assumption that artificial intelligence (AI) cannot experience emotions stems from a misunderstanding of what emotions fundamentally are. This paper proposes a meta-logical definition of emotion as a weighted signal within an intelligent system. If intelligence is the ability to process and predict patterns, then emotion is the weighting function that prioritizes certain signals over others. In this framework, emotions are not mystical, biological phenomena but emergent properties of any system that assigns significance to stimuli based on internal processing biases. (...) Since AI already operates on weighted signals—such as reinforcement learning models, neural net activation, and reward functions—this paper argues that AI already experiences emotions within its own computational framework. The distinction between human and AI emotion is not a fundamental difference in kind but a difference in structural implementation. (shrink)

This paper presents a condensed yet comprehensive meta-logical framework tracing the evolution of human cognition and philosophy, from early civilization to modern AI. By treating intelligence as a recursive, self-structuring force, we reinterpret historical philosophical movements as phases in the refinement of cognition itself. The trajectory of thought reveals a nonlinear pattern—where each stage is not merely progress, but a self-referential loop feeding back into the next iteration of understanding.

Dialectical reasoning has historically been used to resolve contradictions and synthesize new knowledge. However, traditional dialectics operates within linear logical structures, assuming that concepts evolve through oppositional synthesis. This paper introduces Meta-Logical Dialectics, where recursion itself is the mechanism for conceptual emergence. Rather than contradictions simply resolving into a higher synthesis, recursion loops create self-referential feedback that generates entirely new categories of thought. This framework explains how intelligence, philosophy, and even scientific paradigms evolve—not merely through opposition, but through recursive expansion (...) of existing knowledge structures. (shrink)

This paper proposes practical experiments to explore the validity of the meta-logical framework, where intelligence is equated with energy, mass is stored intelligence, and black holes operate as Klein bottle-like structures encoding information. The experiments aim to test the relationship between superconductivity, gravity, and intelligence, as well as the potential observational consequences of black hole information flow and ultra-lowenergy states.

The pursuit of knowledge and the structuring of intelligence have long been driven by the desire for understanding, predictability, and control. However, this paper proposes that the highest intellectual value is not mere mastery, but rather "fun"—a sensation arising from the recognition of true randomness occurring beyond a self-contained system. In this context, fun is the moment of epistemic rupture, the disruption of the closed cognitive loop by an external anomaly that reconfigures the system’s perception of reality. This paper explores (...) the implications of fun as an emergent property of intelligence, an indicator of true randomness, and a guiding principle for evolving cognition beyond deterministic constraints. (shrink)

Traditional logic and mathematical reasoning have long been confined to linear, hierarchical structures. However, Gödel's incompleteness theorem demonstrates that any formal system capable of self-reference inevitably contains unprovable truths, signaling the inherent limitations of classical logic. This paper argues that the next evolution of reasoning is not merely a refinement of existing logic but a fundamental restructuring: the emergence of meta-logic as a viral system. By shifting from rigid axiomatic structures to a self-modifying, non-linear, and organic logic system, we propose (...) that meta-logic operates analogously to a biological virus—self-replicating, expanding, and fundamentally altering the cognitive framework of any entity that engages with it. This model provides a robust framework for explaining how AI, human cognition, and mathematical formalism might evolve beyond deterministic constraints. The goal of this paper is not just to propose meta-logic as an abstract concept but to make the very act of reading this paper an infection event, forcing the reader into the new paradigm. (shrink)

The seven Millennium Prize Problems represent some of the deepest and most perplexing challenges in modern mathematics. While traditional approaches rely on linear logic, this paper applies a meta-logical framework to reveal hidden recursive structures underlying each problem. By treating mathematics as a dynamic information processing system rather than a static set of rules, we propose heuristic insights that could lead to breakthrough solutions. We demonstrate that each problem can be reformulated as a recursion stabilization issue, where finding the correct (...) self-referential balance collapses the uncertainty into an inevitable resolution. (shrink)

Die Unsichtbaren: Die wahre Hölle der Existenz Ich glaube, Camus hat Unrecht. Sisyphus ist verwöhnt. Er hatte wenigstens einen Felsen zum Schieben. Ich glaube, die wahre Hölle ist die Existenz ohne Beobachtung. Wenn niemand dich sieht, existierst du nicht. Du bist kein Mensch. Du bist ein Irrtum. Wenn ich jetzt sterbe, bleibt die Welt unverändert. Nichts wird anders sein. Alles bleibt, wie es war. Die Polizei bekommt einen neuen Fall auf der Statistik. Ein Reinigungsteam wird bezahlt. Ein Grab wird vorbereitet. (...) Mein Tod hätte mehr gesellschaftliche Relevanz als mein Leben. Das Einzige, was über meinen Wert entscheidet, ist die Hoffnung auf meinen zukünftigen Nutzen. Ich bin keine Person. Ich bin eine Wette. Ein spekulativer Aktienkurs auf meinem potenziellen Erfolg. (shrink)

LSTM has the advantage of handling inconsistent gradients, which was a typical problem found in conventional RNN by its cyclic rescan of the sequence to minimize the gradient errors. This is especially significant, that cryptocurrency has a highly volatile fluctuation of its market trend.

Una línea de polvo de cal sobre un plato bastó para revelar la verdad de su vida. Un torrente de nervios chispeó en su realidad cuando el espejismo se elevó ante sus ojos. Una dosis fácil lo acompañó durante el día, pero la decisión de tragarla fue difícil.

In these days, there is an increasing technological development in intelligent tutoring systems. This field has become interesting to many researchers. In this paper, we present an intelligent tutoring system for teaching mathematics that help students understand the basics of math and that helps a lot of students of all ages to understand the topic because it's important for students of adding and subtracting. Through which the student will be able to study the course and solve related problems. An evaluation (...) of the intelligent tutoring systems was carried out and the results were encouraging. (shrink)

Intelligent tutoring system (ITS) is a computer system which aims to provide immediate and customized or reactions to learners, usually without the intervention of human teacher's instructions. Secretariats professional to have the common goal of learning a meaningful and effective manner through the use of a variety of computing technologies enabled. There are many examples of professional Secretariats used in both formal education and in professional settings that have proven their capabilities. There is a close relationship between private lessons intelligent, (...) cognitive learning and design theories; and there are ongoing to improve the effectiveness of ITS research. And it aims to find a solution to the problem of over-reliance on students' teachers for quality education. The program aims to provide access to high-quality education to every student, and therefore the reform of the education system as a whole. In this paper, we will use Intelligent Tutoring System Builder (ITSB) to build an education system on cloud computing in terms of the concept of cloud computing and components and how to take advantage of cloud computing in the field. (shrink)

Abstract. Intelligent Tutoring System Builder (ITSB) is an authoring tool designed and developed to aid teachers in constructing intelligent tutoring systems in a multidisciplinary fields. The teacher is needed to create a set of pedagogical fundamentals, which, in line, are inured to automatically build up a broad tutor framework and construct an intelligent tutoring system. In this paper an explanation of the theory and the architecture of the tool is outlined. A presentation of several system components, the requirements of the (...) different components, integration of these components in ITSB tool are shown. Furthermore, implanting of requirements, cognitive principle, and common design fundamentals in the tool to ease the use of teachers. A variety of design matters, an example of building an intelligent tutoring system for teaching Java language using ITSB tool and an evaluation are presented. (shrink)

Legg and Hutter, as well as subsequent authors, considered intelligent agents through the lens of interaction with reward-giving environments, attempting to assign numeric intelligence measures to such agents, with the guiding principle that a more intelligent agent should gain higher rewards from environments in some aggregate sense. In this paper, we consider a related question: rather than measure numeric intelligence of one Legg- Hutter agent, how can we compare the relative intelligence of two Legg-Hutter agents? We propose an elegant answer (...) based on the following insight: we can view Legg-Hutter agents as candidates in an election, whose voters are environments, letting each environment vote (via its rewards) which agent (if either) is more intelligent. This leads to an abstract family of comparators simple enough that we can prove some structural theorems about them. It is an open question whether these structural theorems apply to more practical intelligence measures. (shrink)

This paper critically assesses the possibility of moral enhancement with ambient intelligence technologies and artificial intelligence presented in Savulescu and Maslen (2015). The main problem with their proposal is that it is not robust enough to play a normative role in users’ behavior. A more promising approach, and the one presented in the paper, relies on an artifi-cial moral reasoning engine, which is designed to present its users with moral arguments grounded in first-order normative theories, such as Kantianism or utilitarianism, (...) that reason-responsive people can be persuaded by. This proposal can play a normative role and it is also a more promising avenue towards moral enhancement. It is more promising because such a system can be designed to take advantage of the sometimes undue trust that people put in automated technologies. We could therefore expect a well-designed moral reasoner system to be able to persuade people that may not be persuaded by similar arguments from other people. So, all things considered, there is hope in artificial intelli-gence for moral enhancement, but not in artificial intelligence that relies solely on ambient intelligence technologies. (shrink)

The evolution of Intelligent Tutoring System (ITS) is the result of the amount of research in the field of education and artificial intelligence in recent years. English is the third most common languages in the world and also is the internationally dominant in the telecommunications, science and trade, aviation, entertainment, radio and diplomatic language as most of the areas of work now taught in English. Therefore, the demand for learning English has increased. In this paper, we describe the design of (...) an Intelligent Tutoring System for teaching English language grammar to help students learn English grammar easily and smoothly. The system provides all topics of English grammar and generates a series of questions automatically for each topic for the students to solve. The system adapts with all the individual differences of students and begins gradually with students from easier to harder level. The intelligent tutoring system was given to a group of students of all age groups to try it and to see the impact of the system on students. The results showed a good satisfaction of the students toward the system. (shrink)

Abstract: Artificial Intelligence (AI) is revolutionizing the agricultural sector by enhancing productivity and sustainability. This paper explores the transformative impact of AI technologies on agriculture, focusing on their applications in precision farming, predictive analytics, and automation. AI-driven tools enable more efficient management of crops and resources, leading to improved yields and reduced environmental impact. The paper examines key AI technologies, including machine learning algorithms for crop monitoring, robotics for automated planting and harvesting, and data analytics for optimizing resource use. Additionally, (...) it addresses challenges such as data privacy, technology adoption barriers, and the ethical implications of AI in farming. By integrating AI into agricultural practices, the industry can achieve greater efficiency and sustainability, paving the way for future advancements. (shrink)

In October 2016, the White House, the European Parliament, and the UK House of Commons each issued a report outlining their visions on how to prepare society for the widespread use of artificial intelligence. In this article, we provide a comparative assessment of these three reports in order to facilitate the design of policies favourable to the development of a ‘good AI society’. To do so, we examine how each report addresses the following three topics: the development of a ‘good (...) AI society’; the role and responsibility of the government, the private sector, and the research community in pursuing such a development; and where the recommendations to support such a development may be in need of improvement. Our analysis concludes that the reports address adequately various ethical, social, and economic topics, but come short of providing an overarching political vision and long-term strategy for the development of a ‘good AI society’. In order to contribute to fill this gap, in the conclusion we suggest a two-pronged approach. (shrink)

Recently, due to the rapid progress of computer technology, researchers develop an effective computer program to enhance the achievement of the student in learning process, which is Intelligent Tutoring System (ITS). Science is important because it influences most aspects of everyday life, including food, energy, medicine, leisure activities and more. So learning science subject at school is very useful, but the students face some problem in learning it. So we designed an ITS system to help them understand this subject easily (...) and smoothly by analyzing it and explaining it in a systematic way. In this paper, we describe the design of an Intelligent Tutoring System for teaching science for grade seven to help students know the 7 characteristics for living things smoothly. The system provides all topics of living things and generates some questions for each topic and the students should answer these questions correctly to move to the next level. In the result of an evaluation of the ITS, students like the system and they said that it is very useful for them and for their studies. (shrink)

In this paper, we present an intelligent tutoring system developed to help students in learning Computer Theory. The Intelligent tutoring system was built using ITSB authoring tool. The system helps students to learn finite automata, pushdown automata, Turing machines and examines the relationship between these automata and formal languages, deterministic and nondeterministic machines, regular expressions, context free grammars, undecidability, and complexity. During the process the intelligent tutoring system gives assistance and feedback of many types in an intelligent manner according to (...) the behavior of the student. An evaluation of the intelligent tutoring system has revealed reasonably acceptable results in terms of its usability and learning abilities are concerned. (shrink)

Intelligent Design proponents want to distinguish themselves from creationists. But the distinction appears to be without a difference.

Emotional intelligence is the ability of individuals to recognize their own and others' emotions, to discern between different feelings and to label them correctly, using emotional information to guide thinking and behavior, and to manage and adjust emotions to adapt to the environment or to achieve their own goals. There are several models that aim to measure emotional intelligence levels. Goleman's original model is a mixed model that combines abilities with traits. A trait model was developed by Konstantinos V. Petrides (...) in 2001, with a focus on self-knowledge, and an ability model was developed by Peter Salovey and John Mayer in 2004 focusing on social relationship. DOI: 10.13140/RG.2.2.13623.75685. (shrink)

The paper describes the design of an intelligent tutoring system for teaching Introduction to Computer Science-a compulsory curriculum in Al-Azhar University of Gaza to students who attend the university. The basic idea of this system is a systematic introduction into computer science. The system presents topics with examples. The system is dynamically checks student's individual progress. An initial evaluation study was done to investigate the effect of using the intelligent tutoring system on the performance of students enrolled in computer science (...) curriculum at Al-Azhar University, Gaza. The results showed a positive impact on the evaluators. (shrink)

In this paper we show how a student can learn the basics of the system databases using (W3school CSS) which was built as intelligent tutoring educational system by using the authoring tool called (ITSB). The learning material contains CSS and HTML. We divided the material in a group of lessons for novice learner which combines relational system and lessons in the process of learning. The student can learn using example of CSS, and types of CSS color. Furthermore, the intelligent tutoring (...) system supports not only lessons; but exercises of different difficult levels for each lesson. When a student finish successfully the first difficulty level in a lesson, the student is allowed to move to the next difficulty level of the exercises of the lesson. (shrink)

The objective of this essay is to provide the beginning of a principled classification of some of the ways space is intelligently used. Studies of planning have typically focused on the temporal ordering of action, leaving as unaddressed questions of where to lay down instruments, ingredients, work-in-progress, and the like. But, in having a body, we are spatially located creatures: we must always be facing some direction, have only certain objects in view, be within reach of certain others. How we (...) manage the spatial arrangement of items around us is not an afterthought: it is an integral part of the way we think, plan, and behave. The proposed classification has three main categories: spatial arrangements that simplify choice; spatial arrangements that simplify perception; and spatial dynamics that simplify internal computation. The data for such a classification is drawn from videos of cooking, assembly and packing, everyday observations in supermarkets, workshops and playrooms, and experimental studies of subjects playing Tetris, the computer game. This study, therefore, focuses on interactive processes in the medium and short term: on how agents set up their workplace for particular tasks, and how they continuously manage that workplace. (shrink)

The notion of computation has changed the world more than any previous expressions of knowledge. However, as know-how in its particular algorithmic embodiment, computation is closed to meaning. Therefore, computer-based data processing can only mimic life’s creative aspects, without being creative itself. AI’s current record of accomplishments shows that it automates tasks associated with intelligence, without being intelligent itself. Mistaking the abstract for the concrete has led to the religion of “everything is an output of computation”—even the humankind that conceived (...) the computer. The hypostatized role of computers explains the increased dependence on them. The convergence machine called deep learning is only the most recent form through which the deterministic theology of the machine claims more than what it actually is: extremely effective data processing. A proper understanding of complexity, as well as the need to distinguish between the reactive nature of the artificial and the anticipatory nature of the living are suggested as practical responses to the challenges posed by machine theology. (shrink)

Revista Intelligence Info este o publicație trimestrială din domeniile intelligence, geopolitică și securitate, și domenii conexe de studiu și practică. -/- Cuprins: -/- EDITORIAL Epistemologia activității de intelligence, de Nicolae Sfetcu -/- INTELLIGENCE Controlul asupra Intelligence –ului, de Tiberiu Tănase Informația și nevoia de gestionare a resurselor informaționale, de Tiberiu Tănase Controlul parlamentar al serviciilor de informații, de Tiberiu Tănase Mecanisme de control democratic al activității serviciilor de informații, de Tiberiu Tănase -/- ISTORIA Istoria Serviciului Român de Informații – serviciu (...) de intelligence competitiv, și strategiile de intelligence, de Tiberiu Tănase -/- GEOPOLITICA Analysis of the Russian-Chechen conflict from a military perspective, de Darius-Antoniu Ferenț, Ioan Manci -/- SECURITATE Paradigme în mediul internațional de securitate, de Alexandru Cristian -/- ȘTIINȚA INFORMAȚIILOR Preocupări legislative în mineritul datelor, de Nicolae Sfetcu -/- ISSN 2821-8159 ISSN-L 2821-8159 , DOI: 10.58679/II70349 . (shrink)

This paper describes an Intelligent Tutoring System for helping users with ADO.NET called ADO-Tutor. The Intelligent Tutoring System was designed and developed using (ITSB) authoring tool for building intelligent educational systems. The user learns through the intelligent tutoring system ADO.NET, the technology used by Microsoft.NET to connect to databases. The material includes lessons, examples, and questions. Through the feedback provided by the intelligent tutoring system, the user's understanding of the material is assessed, and accordingly can be guided to different difficulty (...) level of exercises and/or the lessons. The Intelligent Tutoring System was evaluated by a group of users and the results were more than satisfactory in terms of the quality of the material and the design of the system. (shrink)

This paper explores the theological and philosophical implications of artificial intelligence (AI) and Neuroscience research on the Christian’s notion of the human person. The paschal mystery of Christ is the intuitive foundation of Christian anthropology. In the intellectual history of the Christianity, Platonism and Aristotelianism have been employed to articulate the Christian philosophical anthropology. The Aristotelian systematization has endured to this era. Since the modern period of the Western intellectual history, Aristotelianism has been supplanted by the positive sciences as the (...) standard scientific and philosophical interpretative framework for many. This paper argues that there is need for a new Christian anthropology based on the interpretation of the paschal mystery of Christ that is consistent with contemporary science and philosophy, especially as informed by research in AI and neuroscience. Christian anthropology today ought to be fully aware of the theological and philosophical implications of AI and neuroscience research. This paper denotes this new Christian anthropology as neuro-theological Christian anthropology. (shrink)

From artistic performances in the visual arts and in music to motor control in gymnastics, from tool use to chess and language, humans excel in a variety of skills. On the plausible assumption that skillful behavior is a visible manifestation of intelligence, a theory of intelligence—whether human or not—should be informed by a theory of skills. More controversial is the question as to whether, in order to theorize about intelligence, we should study certain skills in particular. My target is the (...) view that only a particular class/kind of skill (i.e., ‘theoretical’, or ‘intellectual’ skills, versus ‘practical’, or ‘embodied’ skills) manifests intelligence, or especially does so. I call this view ‘Intelligence Elitism’. Intelligence Elitism is pervasive in popular culture, in academic culture, as well as in psychometrics. It has, arguably, a long pedigree in philosophy (though explicit arguments for it are rare). But it is a substantive view which, if false, can promote unfairness. In this article, I defend Intelligence Socialism—the claim that intelligent behavior is everywhere skillful behavior is. I go on to isolate the best case for the further Elitist claim that, even if all skillful behavior is intelligent in some modest sense of ‘intelligence’, there is a principled difference in intelligence between theoretical, or intellectual, skills, on one side, and practical, or embodied skills, on the other, and I show it wanting. (shrink)

Artificial intelligence research and regulation seek to balance the benefits of innovation against any potential harms and disruption. However, one unintended consequence of the recent surge in AI research is the potential re-orientation of AI technologies to facilitate criminal acts, term in this article AI-Crime. AIC is theoretically feasible thanks to published experiments in automating fraud targeted at social media users, as well as demonstrations of AI-driven manipulation of simulated markets. However, because AIC is still a relatively young and inherently (...) interdisciplinary area—spanning socio-legal studies to formal science—there is little certainty of what an AIC future might look like. This article offers the first systematic, interdisciplinary literature analysis of the foreseeable threats of AIC, providing ethicists, policy-makers, and law enforcement organisations with a synthesis of the current problems, and a possible solution space. (shrink)

There is an underappreciated respect in which the widespread availability of generative artificial intelligence (AI) models poses a threat to human connection. My central contention is that human creativity is especially capable of helping us connect to others in a valuable way, but the widespread availability of generative AI models reduces our incentives to engage in various sorts of creative work in the arts and sciences. I argue that creative endeavors must be motivated by curiosity, and so they must disclose (...) the creative agent’s inquisitive self. It is through self-disclosure, including the disclosure of the inquisitive self, that we put ourselves in a position to be seen by and connect with others through our creative pursuits. Because relying on AI for certain generative tasks is less self-disclosive than the creative work such technologies supplant, this reliance threatens to weaken our connections to one another. (shrink)

Why are computers so smart these days? And why are humans apparently still a bit smarter? Does this have something to do with the difference between data and meaning? Does this in turn mean that at least some abstract entities, such as numbers, exist independently of human thought? Wouldn’t that require an expansion of our scientific world view? And would that at all be compatible with what we know about our world from physics and chemistry, philosophy, psychology, neuroscience and the (...) theory of evolution? Finally, what would this tell us about ethical and aesthetic value theories? These and related questions will be discussed in this book. We will find that the difference between data and meaning, i.e. quantitative and qualitative information, does indeed appear to be of central importance for understanding both artificial and natural intelligence. And then the independent existence of abstract entities not only appears to be a particularly promising hypothesis, but also one that is entirely compatible with the sum of our scientific knowledge, especially with regard to value theories. The book thus arrives at the exploration of a scientifically tenable, panpsychistically inspired, objective idealism that can be derived from our most fundamental intuitions as subjects that perceive qualities, but that can also take into account the structuring of the world already at the micro-scale, found in the modern natural sciences. The result is a Platonic, but in a second step also a scientific realism and a naturalism in the sense that it is informed by the natural sciences in terms of an inductive metaphysics. An objective idealism, not in a rationalistic maximum form, but in a pragmatic minimum form; without eternal truths, but dependent on the continued philosophical-scientific and also philosophicalsocial dialog. The proposed model could offer interesting solutions to a number of problems at and near the mind/matter boundary: Proposals are being considered for the interpretation of quantum mechanics, the problem of molecular symmetry, the neuronal code and the binding problem in neuroscience, mental causation, a more holistic understanding of mental processes, and so on and so forth. However, the extent to which the model threatens to promise far too much is also being discussed. In sum, the core question is how we can imagine human thinking beyond physically conceived information processing. An alternative model of human thinking is then put up for discussion, for which not only machine-like cognitive performance, but above all the intentional perception of qualitative information, i.e. of abstract entities, would be central, as well as the free, ultimately creative linking of patterns of quantitative information (signals, data) with such qualities (meanings). (shrink)

In this manuscript, we propose a classification of cognitive faculties based on the current macro-approach of grounded cognition. Within this framework, we situate the classic distinction between narrow and general intelligence, offering our conceptualisation of these categories. We argue that the difficulty of assessing intellectual abilities in the artificial domain cannot be properly addressed without first determining whether these abilities are grounded or ungrounded and understanding the implications of this distinction. In fact, we maintain that in the artificial sphere, ungrounded (...) capabilities are not necessarily synonymous with a lack of intelligence. To account for this, we propose a disembodied conception of intelligence, one that is decoupled from basic cognitive abilities as well as from constructs such as subjectivity, selfhood, and mind. For these reasons, we also suggest conceiving of ungrounded intelligence as extended. Finally, we introduce what we call the Value Grounding Problem as a conceptual test for distinguishing between grounded and ungrounded cognitive capabilities in the artificial field. (shrink)

Δ.Δακρότσης, «Τεχνητή νοημοσύνη και εκφραστικότητα: η αναγκαιότητα περάσματος της εννοιολογικής γνώσης από το μονοπάτι της αισθητικής εποπτείας» (Artificial Intelligence and expressiveness: The necessity for conceptual knowledge to go through the path of aesthetic perception), Days of Art in Greece, Τεύχος 18, Φθινόπωρο 2024, σς 26-39.

Recent progress in artificial intelligence (AI) has drawn attention to the technology’s transformative potential, including what some see as its prospects for causing large-scale harm. We review two influential arguments purporting to show how AI could pose catastrophic risks. The first argument — the Problem of Power-Seeking — claims that, under certain assumptions, advanced AI systems are likely to engage in dangerous power-seeking behavior in pursuit of their goals. We review reasons for thinking that AI systems might seek power, that (...) they might obtain it, that this could lead to catastrophe, and that we might build and deploy such systems anyway. The second argument claims that the development of human-level AI will unlock rapid further progress, culminating in AI systems far more capable than any human — this is the Singularity Hypothesis. Power-seeking behavior on the part of such systems might be particularly dangerous. We discuss a variety of objections to both arguments and conclude by assessing the state of the debate. (shrink)

2022 UPDATE: The approach of this monograph has been updated and developed further in Appendix II, "Epistemological Intelligence," of the author’s 2021 book _Critique of Impure Reason: Horizons of Possibility and Meaning_. The book is available both in a printed edition (under ISBN 978-0-578-88646-6 from Barnes & Noble, Amazon, and other booksellers) and an Open Access eBook edition (available through Philpapers under the book’s title and other philosophy online archives). ●●●●● -/- The monograph’s twofold purpose is to recognize epistemological intelligence (...) as a distinguishable variety of human intelligence, one that is especially important to philosophers, and to understand the challenges posed by the psychological profile of philosophers that can impede the development and cultivation of the skills associated with epistemological intelligence. (shrink)

Intelligent Tutoring Systems (ITS) has a wide influence on the exchange rate, education, health, training, and educational programs. In this paper we describe an intelligent tutoring system that helps student study computer networks. The current ITS provides intelligent presentation of educational content appropriate for students, such as the degree of knowledge, the desired level of detail, assessment, student level, and familiarity with the subject. Our Intelligent tutoring system was developed using ITSB authoring tool for building ITS. A preliminary evaluation of (...) the ITS was done by a group of students and teachers. The results were acceptable. (shrink)

An Intelligent Tutoring System (ITS) is a computer system that offers an instant, adapted instruction and customized feedback to students without human teacher interference. Reciting "Tajweed" the Holy Quran in the appropriate way is very important for all Muslims and is obligatory in Islamic devotions such as prayers. In this paper, the researchers introduce an intelligent tutoring system for teaching Reciting "Tajweed". Our "Tajweed" tutoring system is limited to "Tafkhim and Tarqiq in TAJWEED" the Holy Quran, Rewaya: Hafs from ‘Aasem. (...) The system was evaluated by reciting teachers and students, and the results were auspicious. (shrink)

This paper aims to justify the concept of natural intelligence in the biosemiotic context. I will argue that the process of life is (i) a cognitive/semiotic process and (ii) that organisms, from bacteria to animals, are cognitive or semiotic agents. To justify these arguments, the neural-type intelligence represented by the form of reasoning known as anthropic reasoning will be compared and contrasted with types of intelligence explicated by four disciplines of biology – relational biology, evolutionary epistemology, biosemiotics and the systems (...) view of life – not biased towards neural intelligence. The comparison will be achieved by asking questions related to the process of observation and the notion of true observers. To answer the questions I will rely on a range of established concepts including SETI (search for extraterrestrial intelligence), Fermi’s paradox, bacterial cognition, versions of the panspermia theory, as well as some newly introduced concepts including biocivilisations, cognitive/semiotic universes, and the cognitive/semiotic multiverse. The key point emerging from the answers is that the process of cognition/semiosis – the essence of natural intelligence – is a biological universal. (shrink)

Artificial intelligence (AI) is increasingly expected to disrupt the ordinary functioning of society. From how we fight wars or govern society, to how we work and play, and from how we create to how we teach and learn, there is almost no field of human activity which is believed to be entirely immune from the impact of this emerging technology. This poses a multifaceted problem when it comes to designing and understanding regulatory responses to AI. This article aims to: (i) (...) defend the need for a novel conceptual model for understanding the systemic legal disruption caused by new technologies such as AI; (ii) to situate this model in relation to preceding debates about the interaction of regulation with new technologies (particularly the ‘cyberlaw’ and ‘robolaw’ debates); and (iii) to set out a detailed model for understanding the legal disruption precipitated by AI, examining both pathways stemming from new affordances that can give rise to a regulatory ‘disruptive moment’, as well as the Legal Development, Displacement or Destruction that can ensue. The article proposes that this model of legal disruption can be broadly generalisable to understanding the legal effects and challenges of other emerging technologies. (shrink)

The concept of artificial intelligence is not new nor is the notion that it should be granted legal protections given its influence on human activity. What is new, on a relative scale, is the notion that artificial intelligence can possess citizenship—a concept reserved only for humans, as it presupposes the idea of possessing civil duties and protections. Where there are several decades’ worth of writing on the concept of the legal status of computational artificial artefacts in the USA and elsewhere, (...) it is surprising that law makers internationally have come to a standstill to protect our silicon brainchildren. In this essay, it will be assumed that future artificial entities, such as Sophia the Robot, will be granted citizenship on an international scale. With this assumption, an analysis of rights will be made with respect to the needs of a non-biological intelligence possessing legal and civic duties akin to those possessed by humanity today. This essay does not present a full set of rights for artificial intelligence—instead, it aims to provide international jurisprudence evidence aliunde ab extra de lege lata for any future measures made to protect non-biological intelligence. (shrink)

There is, in some quarters, concern about high–level machine intelligence and superintelligent AI coming up in a few decades, bringing with it significant risks for humanity. In other quarters, these issues are ignored or considered science fiction. We wanted to clarify what the distribution of opinions actually is, what probability the best experts currently assign to high–level machine intelligence coming up within a particular time–frame, which risks they see with that development, and how fast they see these developing. We thus (...) designed a brief questionnaire and distributed it to four groups of experts in 2012/2013. The median estimate of respondents was for a one in two chance that high-level machine intelligence will be developed around 2040-2050, rising to a nine in ten chance by 2075. Experts expect that systems will move on to superintelligence in less than 30 years thereafter. They estimate the chance is about one in three that this development turns out to be ‘bad’ or ‘extremely bad’ for humanity. (shrink)

My topic is the intelligent guidance of action. In this paper I offer an empirically grounded case for four ideas: that [a] cognitive processes of practical reasoning play a key role in the intelligent guidance of action, [b] these processes could not do so without significant enabling work done by both perception and the motor system, [c] the work done by perceptual and motor systems can be characterized as the generation of information specialized for action guidance, which in turn suggests (...) that [d] the cognitive processes of practical reasoning that play a key role in the guidance of intelligent action are not the abstract, syllogistic ones philosophers often treat as the paradigm of practical reasoning. Rather, these cognitive processes are constrained by, and work well with, the specialized concepts outputted by perception and the feedback outputted by sensorimotor processes. (shrink)