In this article, we argue that there is an essential difference between social intelligence and creative intelligence, and that they have their foundation in human sexuality. For sex differences, we refer to the vast psychological, neurological, and cognitive science research where problem-solving, verbal skills, logical reasoning, and other topics are dealt with. Intelligence tests suggest that, on average, neither sex has more general intelligence than the other. Though people are equals in general intelligence, they (...) are different in special forms of intelligence such as social intelligence and creative intelligence, the former dominant in women, the latter dominant in men. The dominance of creative intelligence in men needs to be explained. The focus of our research is on the strictly anthropological aspects, and consequently our explanation for this fact is based on the male-female polarity in the mating systems. Sexual dimorphism does not only regard bodily differences but implies different forms of sex life. Sex researchers distinguish between two levels of sexual intercourse: procreative sex and recreational sex, and to these we would add “creative sex.” On all three levels, there is a behavioral difference between men and women, including the subjective experience. These differences are as well attributed to culture as genetically founded in nature. Sexual reproduction is only possible if females cooperate. Their biological inheritance makes females play a decisive role in mate choice. Recreational sex for the purpose of pleasure rather than reproduction results from female extended sexual activity. Creative sex, on the contrary, is a specifically male performance of sexuality. We identify creative sex with eroticism. Eroticism evolved through the transformation of the sexual drive into a mental state of expectation and fantasizing. Hence, sex differences (that nowadays are covered up by cultural egalitarianism) continue to be the evolutionary origin of the difference between social and creative intelligence. (shrink)

This chapter considers the potential of artificial intelligence (AI) to exhibit creativity and imagination, in light of recent advances in generative AI and the use of deep neural networks (DNNs). Reasons for doubting that AI exhibits genuine creativity or imagination are considered, including the claim that the creativity of an algorithm lies in its developer, that generative AI merely reproduces patterns in its training data, and that AI is lacking in a necessary feature for creativity or imagination, such as (...) consciousness, agency, metacognitive awareness, or the use of mental imagery. In each case, a counterargument is provided that AI already has or soon will overcome the apparent barrier. In some instances, this is because the critical features deemed lacking in AI may not be necessary for human creativity and imagination either. In others, it is because important developmental and structural similarities between humans and generative AI have been insufficiently appreciated. (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)

Creativity and Intelligence: Emergent Properties of the Brain as a Balancing Mechanism for Overpopulation, Natural Disasters, and Diseases -/- The human brain is an extraordinary organ, capable of producing creativity and intelligence as emergent properties that allow humanity to address complex challenges. These traits are not merely tools for individual survival; they function as collective mechanisms to adapt to large-scale issues that threaten humanity’s balance with the environment. Overpopulation, natural disasters, and the prevalence of diseases and illnesses represent (...) some of the most significant pressures on human societies. Through the brain’s capacity for problem-solving and innovation, humanity has developed strategies to mitigate these challenges and maintain equilibrium within the universal law of balance. -/- The Brain as a Balancing Mechanism -/- At its essence, the brain operates as a dynamic system that processes external stimuli and generates adaptive responses. Creativity and intelligence arise from this system as tools to predict, analyze, and address challenges that disrupt balance. Overpopulation, natural disasters, and diseases disrupt human life on social, economic, and environmental levels, testing the brain’s ability to create solutions. -/- Creativity in Addressing Overpopulation -/- Overpopulation places immense strain on resources, ecosystems, and social structures, often leading to food shortages, environmental degradation, and urban overcrowding. The brain’s creative capacity has allowed humans to develop innovations to address these issues. Urban agriculture, such as vertical farming, is an example of how creativity has transformed food production in densely populated areas, reducing dependence on traditional farmland and conserving resources. Similarly, advancements in renewable energy technologies, such as solar and wind power, reduce the ecological footprint of growing populations, providing sustainable solutions to energy needs. -/- Creativity also plays a critical role in social policies and education. Family planning programs and reproductive health education have empowered individuals, particularly women, to make informed decisions, reducing population growth rates in many regions. These initiatives reflect the brain’s ability to create holistic solutions that align societal needs with the preservation of natural balance. -/- Intelligence in Managing Natural Disasters -/- Natural disasters, unpredictable and often catastrophic, require intelligent strategies to mitigate their impact. Intelligence enables humans to analyze data, predict disasters, and prepare for their consequences. Early warning systems for tsunamis, hurricanes, and earthquakes exemplify this, providing communities with critical time to evacuate and take protective measures. -/- Furthermore, intelligence drives the design of resilient infrastructure that can withstand disasters. For instance, earthquake-resistant buildings and flood mitigation systems demonstrate the brain’s capacity to transform scientific knowledge into practical solutions. These innovations save lives, reduce economic losses, and facilitate faster recovery after disasters, ensuring that human societies maintain their balance despite nature’s unpredictability. -/- Creativity and Intelligence in Combating Diseases and Illnesses -/- Diseases and illnesses have long been among humanity’s greatest challenges, especially in the context of overpopulation, which facilitates the rapid spread of infectious diseases. The brain’s emergent properties of creativity and intelligence have been critical in combating these threats through advancements in medicine, public health, and technology. -/- The development of vaccines, antibiotics, and antiviral drugs highlights humanity’s creative response to disease. For example, the eradication of smallpox and the near-elimination of polio are milestones achieved through creative and intelligent applications of medical science. During the COVID-19 pandemic, intelligence and creativity led to the rapid development of vaccines using mRNA technology, showcasing the brain’s ability to adapt to new challenges at an unprecedented pace. -/- Public health strategies, such as sanitation systems, clean water initiatives, and disease surveillance networks, also reflect the brain’s ability to create systemic solutions. These measures have significantly reduced the burden of communicable diseases, particularly in densely populated areas. Moreover, advancements in artificial intelligence and biotechnology continue to enhance humanity’s ability to detect, prevent, and treat illnesses. -/- The Interplay of Creativity, Intelligence, and Feedback Mechanisms -/- Creativity and intelligence act as feedback mechanisms that enable humans to respond to disruptions while maintaining balance within the universal law of nature. Overpopulation, natural disasters, and diseases disrupt this balance, prompting the brain to generate solutions that restore harmony. -/- For instance, urban planning that incorporates green spaces and sustainable infrastructure addresses the environmental strain caused by overpopulation. Similarly, the integration of traditional knowledge with modern technologies enhances disaster resilience. In the context of diseases, the collaboration of global institutions and local communities reflects the brain’s capacity to balance innovation with cultural and social considerations. -/- Challenges and Ethical Considerations -/- While creativity and intelligence empower humanity to address these challenges, they also carry significant ethical responsibilities. Technological advancements must align with principles of sustainability and equity. For example, while vaccines have saved millions of lives, unequal access to these innovations highlights the need for ethical distribution systems. Similarly, urban development projects must prioritize environmental conservation and community well-being to avoid exacerbating existing imbalances. -/- Additionally, the misuse of intelligence and creativity—such as the development of biological weapons or unsustainable industrial practices—can worsen the effects of overpopulation, natural disasters, and diseases. Ensuring that human ingenuity aligns with the principles of balance and harmony is essential to avoid unintended consequences. -/- Conclusion -/- Creativity and intelligence are emergent properties of the human brain that have enabled humanity to adapt to and mitigate the negative effects of overpopulation, natural disasters, and diseases. These traits function as balancing mechanisms, allowing humans to innovate and maintain harmony within the framework of natural laws. However, the application of these capabilities must be guided by ethical considerations and a commitment to sustainability. By aligning human creativity and intelligence with the universal law of balance, humanity can navigate its most pressing challenges and build a more resilient and equitable future. -/- . (shrink)

The tendency to idealise artificial intelligence as independent from human manipulators, combined with the growing ontological entanglement of humans and digital machines, has created an “anthrobotic” horizon, in which data analytics, statistics and probabilities throw our agential power into question. How can we avoid the consequences of a reified definition of intelligence as universal operation becoming imposed upon our destinies? It is here argued that the fantasised autonomy of automated intelligence presents a contradistinctive opportunity for philosophical consciousness (...) to understand itself anew as holistic and co-creative, beyond the recent “analytic” moment of the history of philosophy. Here we introduce the concept of “crealectic intelligence”, a meta-analytic and meta-dialectic aspect of consciousness. Intelligent behaviour may consist in distinguishing discrete familiar parts or reproducible functions in the midst of noise via an analytic process of segmentation; intelligence may also manifest itself in the constitution of larger wholes and dynamic unities through a dialectic process of association or assemblage. But, by contrast, crealectic intelligence co-creates realities in the image of an ideal or truth, taking into account the desiring agent imbued with a sense of possibility, in a relationship not only with the Real but also with the creative sublime or “Creal”. (shrink)

What is the essential ingredient of creativity that only humans – and not machines – possess? Can artificial intelligence help refine the notion of creativity by reference to that essential ingredient? How / do we need to redefine our conceptual and legal frameworks for rewarding creativity because of this new qualifying – actually creatively significant – factor? -/- Those are the questions tackled in this essay. The author’s conclusion is that consciousness, experiential states (such as a raw feel of (...) what is like to be creating) and propositional attitudes (such as intention to instigate change by creating) appear pivotal to qualifying an exploratory effort as creativity. Artificial intelligence systems would supposedly be capable of creativity if they could exhibit such states, which philosophers and computer scientists posit as conceptually admissible and practically possible. -/- The existing legal framework rewards creative endeavours by reference to the novelty or originality of the end result. But this bar is not insurmountable for artificial intelligence. Technically speaking, artificial intelligence systems can create works that are novel and/or original. Are we then prepared to grant to those systems the legal status of “creators” in their own right? Whom should the associated benefits and rewards be assigned to? How does the position change (or not) based on the qualifying factors set out above? Should – and if, how – the general public benefit from inventions / creative works of artificial intelligence systems if troves of personal data are the key component that fueled and informed creative choices? (shrink)

Good sciences have good metaphors. Indeed, good sciences are good because they have good metaphors. AI could use more good metaphors. In this editorial, I would like to propose a new metaphor to help us understand intelligence. Of course, whether the metaphor is any good or not depends on whether it actually does help us. (What I am going to propose is not something opposed to computationalism -- the hypothesis that cognition is computation. Noncomputational metaphors are in vogue these (...) days, and to date they have all been equally plausible and equally successful. And, just to be explicit, I do not mean “IQ” by “intelligence.” I am using “intelligence” in the way AI uses it: as a semi-techical term referring to a general property of all intelligent systems, animal (including humans), or machine, alike.). (shrink)

This article focuses on the interaction between man and machine, AI specifically, to analyse how these systems are slowly taking over roles that hitherto were thought ‘only’ for humans. More recent, as AI has stepped up in ability to learn without supervision, to recognize patterns, and to solve problems, it adopted characteristics like creativity, novelty, intentionality. These events take one to the heart of what it is to be human, and the emerging definitions of self that are increasingly central to (...) post humanist discourses. The discussion in these two threads is in philosophy of AI and is concerned with issues of consciousness, intentionality and creativity. Al as a result of causing a shift in the current anthropocentric perceptions resulted in portrayal of humans as special beings. Secondly, this exploration responds to important questions related to AI application, such as ethical, social, and existential ones. The article emphasizes a necessity to define the role of the advent of AI and its influence on the interaction between people and technology as well as the role of the social individuality in the wake of intelligent machines that mimic thinking and creativity. It seeks to prompt more specific analysis of how or why AI reduces the differences between artificial and human intelligence or increases the prospects for options expanding the notion of consciousness beyond the human-centric one. (shrink)

Arthur C. Danto did not live to witness the proliferation of AI in artistic creation. However, his philosophy of art offers key ideas about art that can provide an interesting perspective on artwork generated by artificial intelligence (AI). In this article, I analyze how his ideas about contemporary art, intention, interpretation, and authorship could be applied to the ongoing debate about AI and artistic creation. At the same time, it is also interesting to consider whether the incorporation of AI (...) into artistic creation marks a new chapter in the narrative, which seems to have reached its end, or if it represents a significant rupture with past artistic traditions. (shrink)

Can matter, things, nonhuman organisms, technologies, tools and machines, biota or institutions be seen as creative? How does such creativity reposition the visionary activities of humans? This article is an elaboration of such questions as well as an attempt at a partial response. It was written as an editorial for the special issue of the Digital Creativity journal that interrogates the conception of Post-Anthropocentric Creativity. However, the text below is a rather unconventional editorial. It does not attempt to provide (...) an overview of the issue’s theme but, instead, samples it via a particular example. The idea of the issue was to think about post-anthropocentricism by considering (1) agents, recipients and processes of creativity alongside with its (2) purpose, value, ethics and politics. This article addresses the first subtheme by puzzling at the paradoxes of “field learning” and picks at the second by considering the texture of “automated beauty”. Both of these parts use chess for an example. The narrative on chess is intermitted by a section “on creativity” that attempts to contextualize the case-based discussion in the wider context and to consider motivations and implications. (shrink)

Human creativity generates novel ideas to solve real-world problems. This thereby grants us the power to transform the surrounding world and extend our human attributes beyond what is currently possible. Creative ideas are not just new and unexpected, but are also successful in providing solutions that are useful, efficient and valuable. Thus, creativity optimizes the use of available resources and increases wealth. The origin of human creativity, however, is poorly understood, and semantic measures that could predict the success of (...) generated ideas are currently unknown. Here, we analyze a dataset of design problem-solving conversations in real-world settings by using 49 semantic measures based on WordNet 3.1 and demonstrate that a divergence of semantic similarity, an increased information content, and a decreased polysemy predict the success of generated ideas. The first feedback from clients also enhances information content and leads to a divergence of successful ideas in creative problem solving. These results advance cognitive science by identifying real-world processes in human problem solving that are relevant to the success of produced solutions and provide tools for real-time monitoring of problem solving, student training and skill acquisition. A selected subset of information content (IC Sánchez–Batet) and semantic similarity (Lin/Sánchez–Batet) measures, which are both statistically powerful and computationally fast, could support the development of technologies for computer-assisted enhancements of human creativity or for the implementation of creativity in machines endowed with general artificial intelligence. (shrink)

Non-Organic Matter, Organic Matter, Consciousness, Free Will, Intelligence, and Creativity in Relation to the Universal Formula -/- By Angelito Enriquez Malicse -/- Introduction -/- The relationship between non-organic matter, organic matter, consciousness, free will, intelligence, and creativity has long been studied separately in science, philosophy, and psychology. However, when examined through the universal law of balance in nature, as defined in my universal formula, these elements are seen as interconnected manifestations of a single natural order. This perspective offers (...) a complete understanding of how matter evolves into intelligence, how free will operates, and how creativity emerges as an extension of the natural equilibrium that governs all things. -/- Non-Organic and Organic Matter: The Foundation of Reality -/- At the core of the material universe, we distinguish between non-organic matter (inanimate substances such as atoms, molecules, and cosmic structures) and organic matter (biological entities capable of self-regulation and adaptation). -/- Despite their apparent differences, both are governed by the same fundamental law of balance: -/- Non-organic matter follows physical laws such as gravity, thermodynamics, and electromagnetism, which maintain stability in the universe. -/- Organic matter emerges from non-organic matter as a natural extension of these balancing forces, evolving biological mechanisms to sustain life. -/- The transformation from non-organic to organic matter is not random but a consequence of equilibrium, where chemical reactions reach stability and enable life to form. -/- Thus, life itself is an outcome of nature’s inherent drive toward balance—a principle that applies to all forms of existence, from the atomic level to complex living organisms. -/- Consciousness as a Balancing Mechanism -/- Consciousness is often misunderstood as something separate from the physical world. However, my universal formula reveals that it is simply a higher-order process of equilibrium: -/- Consciousness arises when organic matter (the brain) reaches a level of complexity that allows it to perceive and regulate internal and external states. -/- The brain operates through homeostasis, ensuring a constant balance between sensory input, cognitive processing, and decision-making. -/- This balancing process is what allows individuals to experience self-awareness, emotions, and rational thought. -/- Thus, consciousness is not a separate entity but an emergent function of biological and environmental balance, ensuring an organism’s survival and adaptation. -/- Free Will: The Decision-Making Process of Balance -/- Free will has long been debated—whether it exists, whether it is an illusion, or whether it operates beyond the laws of physics. My universal formula provides the exact answer: -/- Free will is not absolute autonomy but the ability to make choices within the constraints of natural balance. -/- Every decision is shaped by feedback mechanisms between the mind, body, and external environment. -/- Ignorance, false beliefs, or external manipulation disrupts this balance, leading to poor decision-making. -/- True free will is achieved when decisions align with the universal law of balance, ensuring rational, informed, and sustainable choices. -/- This means that free will is not about acting without limits, but about making decisions that maintain harmony within oneself and with nature. -/- Intelligence as a Function of Equilibrium -/- Intelligence is often seen as a measure of problem-solving ability, learning, and adaptability. However, through the universal law of balance, intelligence is better understood as the capacity to maintain stability between internal and external realities: -/- Intelligence evolves as a response to complexity, allowing organisms to process information and maintain balance with their environment. -/- Higher intelligence corresponds to greater flexibility in adapting to changes while sustaining equilibrium. -/- Artificial intelligence (AI), once advanced enough, must also follow these same balancing principles, as all decision-making systems are governed by natural equilibrium. -/- This means intelligence is not a separate trait but a dynamic function of nature’s balancing mechanisms, evolving in complexity as systems become more advanced. -/- Creativity as the Expansion of Balance -/- Creativity is often linked to human expression, art, and innovation. However, my universal formula shows that creativity is an extension of intelligence and free will, functioning as a tool to explore and enhance balance: -/- Creativity emerges when intelligence reaches a level where it can predict and modify balance, leading to new ways of thinking and problem-solving. -/- The most creative ideas are those that bring new equilibrium—whether in science, art, or technology. -/- Creativity is not chaotic but follows structured patterns, guided by the same universal law that governs all other forms of equilibrium. -/- Thus, true creativity is not about randomness but about discovering new ways to maintain or improve balance in nature, society, and personal thought. -/- A Unified Framework: The Relationship Between All Elements -/- By applying my universal formula, we now see that non-organic matter, organic matter, consciousness, free will, intelligence, and creativity are not separate but deeply connected: -/- 1. Non-organic matter forms the foundation of the universe, following physical laws of balance. -/- 2. Organic matter emerges from non-organic matter as an adaptive extension of this equilibrium. -/- 3. Consciousness arises when organic matter becomes complex enough to self-regulate its balance. -/- 4. Free will is the decision-making process that operates within the limits of natural equilibrium. -/- 5. Intelligence evolves as a function of balance, ensuring adaptability and stability in an ever-changing environment. -/- 6. Creativity emerges when intelligence reaches a level where it can explore and modify balance, leading to innovation and progress. -/- This unified perspective shows that everything in existence follows the same natural principles, proving that human thought, behavior, and even artificial intelligence must align with the universal law of balance in order to function optimally. -/- Conclusion -/- Through my universal formula, we now have a complete and exact solution to understanding how non-organic matter, organic matter, consciousness, free will, intelligence, and creativity interconnect as a single balanced system in nature. -/- Non-organic and organic matter are deeply linked, with life emerging as an extension of physical balance. -/- Consciousness is an emergent property of equilibrium, allowing living beings to regulate themselves. -/- Free will operates within natural balance, ensuring rational decision-making. -/- Intelligence is the ability to sustain and adapt to balance, allowing for learning and evolution. -/- Creativity is the expansion of balance, leading to new ways of thinking, creating, and innovating. -/- This framework is essential for guiding human decision-making, education, and AI development, ensuring that both human and artificial intelligence follow the correct natural path in accordance with the universal law of balance. -/- By applying this understanding, we can solve fundamental philosophical, scientific, and societal challenges, ensuring a future where knowledge, progress, and sustainability are aligned with the natural order of the universe. -/- . 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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)

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)

The generation of novel refined scientific conceptions of intelligence, creativity and consciousness is of paramount importance at a time where many scientists deem the technological singularity and the achievement of self-improving superintelligent algorithms to be immanent while numerous other scientists characterize present-day algorithms as the mere implementation of superficial mimicry incapable of yielding outcomes such as superintelligence. The precarious epistemic state of affairs reflected in this discrepancy became increasingly palpable in the unfolding deepfake era even though informed safety- and (...) security-relevant actions need requisite variety in the near-term. Divergently, historically speaking, from the perspective of cosmology, science is described to already have successfully navigated from the geocentric model to the acentric model of the universe representing the currently best known explanation for the structure of the expanding cosmos. In analogy, this autodidactic paper expounds the scientific need for a broader contextualization of the current epistemic situation and explicates why acentric civilization-level epistemic relativity and invariance considerations can enable a more rigorous scientific evaluation of algorithmic superintelligence achievement claims – constraining the latter scientifically. (shrink)

Creativity pervades human life. It is the mark of individuality, the vehicle of self-expression, and the engine of progress in every human endeavor. It also raises a wealth of neglected and yet evocative philosophical questions: What is the role of consciousness in the creative process? How does the audience for a work for art influence its creation? How can creativity emerge through childhood pretending? Do great works of literature give us insight into human nature? Can a computer program really (...) be creative? How do we define creativity in the first place? Is it a virtue? What is the difference between creativity in science and art? Can creativity be taught? The new essays that comprise The Philosophy of Creativity take up these and other key questions and, in doing so, illustrate the value of interdisciplinary exchange. Written by leading philosophers and psychologists involved in studying creativity, the essays integrate philosophical insights with empirical research. CONTENTS I. Introduction Introducing The Philosophy of Creativity Elliot Samuel Paul and Scott Barry Kaufman II. The Concept of Creativity 1. An Experiential Account of Creativity Bence Nanay III. Aesthetics & Philosophy of Art 2. Creativity and Insight Gregory Currie 3. The Creative Audience: Some Ways in which Readers, Viewers and/or Listeners Use their Imaginations to Engage Fictional Artworks Noël Carroll 4. The Products of Musical Creativity Christopher Peacocke IV. Ethics & Value Theory 5. Performing Oneself Owen Flanagan 6. Creativity as a Virtue of Character Matthew Kieran V. Philosophy of Mind & Cognitive Science 7. Creativity and Not So Dumb Luck Simon Blackburn 8. The Role of Imagination in Creativity Dustin Stokes 9. Creativity, Consciousness, and Free Will: Evidence from Psychology Experiments Roy F. Baumeister, Brandon J. Schmeichel, and C. Nathan DeWall 10. The Origins of Creativity Elizabeth Picciuto and Peter Carruthers 11. Creativity and Artificial Intelligence: a Contradiction in Terms? Margaret Boden VI. Philosophy of Science 12. Hierarchies of Creative Domains: Disciplinary Constraints on Blind-Variation and Selective-Retention Dean Keith Simonton VII. Philosophy of Education (& Education of Philosophy) 13. Educating for Creativity Berys Gaut 14. Philosophical Heuristics Alan Hájek. (shrink)

Perhaps a part of what makes expertise so inspiring to the curious researcher is the possibility of appropriating the structural components of skilled action to draw a roadmap towards their achievement that anyone might be able to follow. Accordingly, the purpose of this essay is to shed light upon the role that creativity plays in the production and environment of skilled action to that foregoing end. In doing so, I suggest that the lessons to be learned from recent empirical research (...) on creativity has much to offer to the cognitive science of skill and expertise. Experts are able to bring their intelligence to bear in controlling fast and seemingly automatic actions by utilizing a form of control often called ‘intelligent automaticity.’ In this spirit, I argue that the environment of intelligently automatic action control curates a similarly ideal environment for the processes of creativity. Moreover, insofar as creativity is ideally operative within the environment of expert action control, I argue further that creativity functions as one representative form of ‘intelligence’ embedded within otherwise fluid, and automatic expert actions. Creativity is able to do so even without conscious representation through the powers of incubated cognition. (shrink)

Today, humanity is trying to turn the artificial intelligence that it produces into natural intelligence. Although this effort is technologically exciting, it often raises ethical concerns. Therefore, the intellectual ability of artificial intelligence will always bring new questions. Although there have been significant developments in the consciousness of artificial intelligence, the issue of consciousness must be fully explained in order to complete this development. When consciousness is fully understood by human beings, the subject of “free will” (...) will be explained. Therefore, human consciousness should be re-examined and perceptions that we are not aware of from a philosophical point of view should be examined. The relevance of the perceptions we do not realize to the unconscious, and finally the impact on consciousness goes back to the sources of philosophy. Hegel, in particular, we may find information about these perceptions unusual. Consciousness cannot be separated from the unconscious. Consciousness should be rethought in the context of memory models and unconscious in this sense. Seeing how Hegel's human cognition acts, especially in Hegel's perception, raises the unconscious question again. If we expect something different from an artificial intelligence, we need to rethink the artificial cognitive model. This paper argues that without the unconscious component of artificial intelligence, it cannot approach human cognition. -/- Key Words: Artificial Intelligence, Creativity, Memory, perception . (shrink)

Instinct and Intelligence is an essay about creative writing. The two elements of the title are present in human thought in general, but the writing process - especially in philosophy - pushes them to extremes. Through this process we can notice and document the nature of each side, conceptualising them in order to create a structural description of thought's creation that may become operative within creation itself.

"Genius AI" is an innovative SaaS platform poised to revolutionize the landscape of artificial intelligence tools. This dynamic platform integrates a diverse array of AI functionalities, including conversation generation, code generation, music generation, and video generation, all in one centralized hub. At its core, Smart AI harnesses cutting-edge machine learning algorithms and neural networks to empower users with unparalleled capabilities. The conversation generation feature enables seamless interaction with users through natural language processing, facilitating engaging and lifelike conversations. At its (...) core, Smart AI harnesses cutting-edge machine learning algorithms and neural networks to empower users with unparalleled capabilities. The conversation generation feature enables seamless interaction with users through natural language processing, facilitating engaging and lifelike conversations. At its core, Smart AI harnesses cutting-edge machine learning algorithms and neural networks to empower users with unparalleled capabilities. The conversation generation feature enables seamless interaction with users through natural language processing, facilitating engaging and lifelike conversations. For developers and coders, Smart AI offers a ground breaking code generation tool, streamlining the process of software development by automatically generating code snippets tailored to specific requirements and programming languages. Moreover, music aficionados can leverage Smart AI's advanced algorithms to compose original melodies, harmonies, and rhythms, personalized to suit any style or genre. Meanwhile, the video generation functionality empowers content creators with the ability to effortlessly produce high-quality videos, complete with customizable elements and visual effects. With its user-friendly interface and scalable architecture, Smart AI caters to a broad spectrum of industries and applications, from e-commerce and marketing to entertainment and education. Whether enhancing customer engagement, accelerating software development, or fostering artistic expression, Smart AI unlocks endless possibilities for innovation and creativity. Join the forefront of AI-driven transformation with Smart AI and redefine the way we interact with technology. (shrink)

In two experiments (total N=693) we explored whether people are willing to consider paintings made by AI-driven robots as art, and robots as artists. Across the two experiments, we manipulated three factors: (i) agent type (AI-driven robot v. human agent), (ii) behavior type (intentional creation of a painting v. accidental creation), and (iii) object type (abstract v. representational painting). We found that people judge robot paintings and human painting as art to roughly the same extent. However, people are much less (...) willing to consider robots as artists than humans, which is partially explained by the fact that they are less disposed to attribute artistic intentions to robots. (shrink)

From 1950 onwards, the study of creativity has not stopped. Today, AI has revitalised debates on the subject. That is especially controversial in the artworld, as the 21st century already features AI-generated artworks. Without discussing issues about AI agency, this article argues for AI’s creativity. For this, we first present a new functionalist understanding of Margaret Boden’s definition of creativity. This is followed by an analysis of empirical evidence on anthropocentric barriers in the perception of AI’s creative capabilities, which (...) is later criticised for considering insights from media theory. Finally, benefits derived from including AI as an artistic creative producer and supportive tool are discussed. It is then argued that AI can contribute to democratising the artworld. Therefore its creative role must be recognised. (shrink)

Model of intelligence and new methods to assess IQ. MA thesis in 1998 (Comenius University). Art exhibitions "From Animation" London 2013, "Fading Memory" Weißenohe 2015, TAIF Tokyo 2017. Conferences in Santorini, Daejon 2016, Geneva 2017.

The unreduced solution to the arbitrary interaction problem, absent in the standard theory framework, reveals many equally real and mutually incompatible system configurations, or "realizations". This is the essence of universal dynamic undecidability, or multivaluedness, and the ensuing causal randomness (unpredictability), non-computability, irreversible time flow (evolution, emergence), and dynamic complexity of every real system, object, or process. This creative undecidability of real-world dynamics provides causal explanations for "quantum mysteries", relativity postulates, cosmological problems, and the huge efficiency of high-complexity phenomena, (...) such as life, intelligence, and consciousness, giving rise to extended applications, far beyond the critical limits of usual science paradigm. (shrink)

Since the beginning of the 21st century, technologies like neural networks, deep learning and “artificial intelligence” (AI) have gradually entered the artistic realm. We witness the development of systems that aim to assess, evaluate and appreciate artifacts according to artistic and aesthetic criteria or by observing people’s preferences. In addition to that, AI is now used to generate new synthetic artifacts. When a machine paints a Rembrandt, composes a Bach sonata, or completes a Beethoven symphony, we say that this (...) is neither original nor real art, but simply the complex imitation and reproduction of existing products of human culture. We face the old question concerning the nature of creativity: what kind of recombination of ideas, unusual analogies, and conceptual connections are considered the mark of originality? Can AI produce artworks? Could machines reach a point at which we consider them genuinely creative? We also need to investigate the challenges posed by AI-art to the notion of authoriality: Who is the author of an artificially generated artifact? An artificial system could be considered just an artist’s and a programmer’s tool. However, we are also fascinated by the idea of autonomous artificial creativity in the aesthetic domain, as a manifestation of highly intelligent behavior. This paper will try to define some key questions around what could it mean to consider a machine creative or even equipped with artistic intentionality. (shrink)

Abstract: Creativity and holistic education involves dynamic interplay between generating ideas and making judgment about them. Getting the balance right is critical and as Carl Jung (2009) explains, the creation of something new is not accomplished by the intellect alone but by the play instinct, the creative mind plays with the object and thoughts it loves. As mentioned earlier to be creative is a response to the inward thoughts and emotions of a human being, we encourage children in (...) the western world to make hand prints with paint, to colour in the lines and if we realise it or not we are using creativity as a holistic part of their development, by encouraging their creative intelligence; sadly, in the Middle East the idea of creativity is a poverty mindset that has been heavily removed from their culture and creative intelligence and it is this that has destroyed creativity from painting to writing. (shrink)

This book is a collection of all the papers published in the special issue “Artificial Intelligence, Robots, and Philosophy,” Journal of Philosophy of Life, Vol.13, No.1, 2023, pp.1-146. The authors discuss a variety of topics such as science fiction and space ethics, the philosophy of artificial intelligence, the ethics of autonomous agents, and virtuous robots. Through their discussions, readers are able to think deeply about the essence of modern technology and the future of humanity. All papers were invited (...) and completed in spring 2020, though because of the Covid-19 pandemic and other problems, the publication was delayed until this year. I apologize to the authors and potential readers for the delay. I hope that readers will enjoy these arguments on digital technology and its relationship with philosophy. *** -/- Contents*** -/- Introduction : Descartes and Artificial Intelligence; Masahiro Morioka*** -/- Isaac Asimov and the Current State of Space Science Fiction : In the Light of Space Ethics; Shin-ichiro Inaba*** -/- Artificial Intelligence and Contemporary Philosophy : Heidegger, Jonas, and Slime Mold; Masahiro Morioka*** -/- Implications of Automating Science : The Possibility of Artificial Creativity and the Future of Science; Makoto Kureha*** -/- Why Autonomous Agents Should Not Be Built for War; István Zoltán Zárdai*** -/- Wheat and Pepper : Interactions Between Technology and Humans; Minao Kukita*** -/- Clockwork Courage : A Defense of Virtuous Robots; Shimpei Okamoto*** -/- Reconstructing Agency from Choice; Yuko Murakami*** -/- Gushing Prose : Will Machines Ever be Able to Translate as Badly as Humans?; Rossa Ó Muireartaigh***. (shrink)

Position: (1) Partial solutions to machine intelligence can lead to systems which may be useful creating interesting and expressive musical works. (2) An appropriate general goal for this field is augmenting human expression. (3) The study of the aesthetics of human augmentation in musical performance is in its infancy. -/- CHI 2015 Workshop on Collaborating with Intelligent Machines: Interfaces for Creative Sound, April 18, 2015, Seoul, Republic of Korea.

A qualitatively new, much more liberal and efficient organisation of science is proposed and justified in connection with emerging international science structures, such as the European Research Council, and growing debates about further role and development of fundamental science. Although the ideas are expressed in terms of "common sense" arguments accessible to a "general" audience, they are based on the rigorous analysis within the recently advanced "universal concept of complexity", which can be applied, due to its universality, also to science (...) structure itself considered as a complex system. We demonstrate thus the application of this ultimate criterion of completeness of a system of knowledge (and viability of related intelligence) that should be able to derive consistent, provable, and practically relevant conclusions about its own purpose, sense, evolution, and current state. (shrink)

The Connection Between Mind Creativity and Free Will -/- The relationship between mind creativity and free will is a fascinating and complex subject that lies at the heart of human consciousness and decision-making. Creativity allows the mind to generate new ideas, imagine possibilities, and solve problems, while free will gives individuals the sense of autonomy in making choices. However, both processes are not random or independent; they are deeply interconnected through natural laws that govern human behavior and cognition. This essay (...) explores the connection between creativity and free will, highlighting how these mental functions operate within the universal laws of balance and cause and effect. -/- I. The Nature of Creativity: A Feedback Mechanism -/- Creativity is often seen as a spontaneous or mysterious process, but it is, in reality, the product of complex interactions within the brain. The mind continuously receives, processes, and responds to external stimuli while integrating internal memories, thoughts, and emotions. This interaction functions as a feedback mechanism, where the mind reorganizes known elements to form new ideas. -/- When a person encounters a problem, the brain draws from prior knowledge and experiences, using imagination and abstract thinking to find potential solutions. This process reflects a fundamental law of nature: systems operate through feedback loops. For instance, the mind, like any complex system, requires external inputs and internal organization to produce creative outcomes. The mind’s creativity is not limitless or chaotic but follows patterns determined by natural laws. -/- II. Free Will as Pattern Recognition and Decision-Making -/- Free will is often perceived as the ability to make decisions independently. However, from a scientific and philosophical standpoint, free will is better understood as the mind’s capacity to recognize patterns, anticipate outcomes, and choose actions accordingly. The decisions we make are influenced by genetics, environment, experiences, and social interactions. -/- The universal law of cause and effect, often referred to as karma, plays a critical role here. Every action has a reaction, and every decision has consequences. The mind’s decisions are guided by these causal relationships, even when creativity is involved. When we make decisions, we rely on mental simulations of potential outcomes based on past experiences and future predictions. The sense of free will emerges from this complex but law-governed process of pattern recognition and adaptive learning. -/- III. Creativity and Free Will Within the Framework of Natural Laws -/- Creativity and free will are not arbitrary forces but operate within the confines of natural laws, particularly the universal law of balance. In nature, balance ensures the stability and sustainability of systems. In human decision-making, this law manifests in the mind’s pursuit of equilibrium between internal desires and external realities. -/- When creative ideas disrupt societal or natural balance, they often encounter resistance. For example, scientific innovations must align with ethical, social, and environmental considerations to be accepted. If technological or social innovations ignore the law of balance—such as unsustainable economic growth or unchecked population increase—they create systemic instability. Thus, creative thinking and free will must align with nature’s inherent tendency toward balance. -/- IV. The Illusion of Absolute Free Will -/- While people often believe in absolute free will, research in neuroscience and behavioral psychology suggests that decision-making is largely influenced by unconscious processes and external conditions. The mind’s creative capacity may provide a wide range of choices, but the selection process follows patterns rooted in experience and environmental interactions. -/- Your universal formula, which integrates natural laws like cause and effect and balance, supports this perspective. Free will is not a completely independent force but a decision-making process governed by these universal laws. Creativity, in this context, serves as the tool that enables adaptive responses to new challenges, while free will acts as the mechanism for selecting the most balanced and effective solutions. -/- V. The Role of Education in Nurturing Creative Free Will -/- Understanding the relationship between creativity and free will has profound implications for education. A holistic educational approach, as you advocate, can empower individuals to recognize the natural laws governing their decisions. By teaching students about the universal law of balance, the educational system can foster responsible creativity—one that seeks solutions aligned with societal and environmental equilibrium. -/- Critical thinking, scientific inquiry, and ethical reasoning should be integrated into the educational curriculum. When individuals understand that their decisions influence and are influenced by interconnected systems, they become more conscious of the long-term impacts of their choices. Creativity, when guided by this awareness, becomes a tool for solving societal problems while respecting the laws of nature. -/- V. Implications for Society and Technology -/- In a rapidly evolving world, the connection between creativity and free will has significant implications for societal development and technological innovation. Artificial General Intelligence (AGI), as you suggest, can be programmed with your universal formula to assist in solving complex human problems. If AGI systems are designed with an understanding of natural balance and cause and effect, they could help guide societal decision-making toward sustainable and ethical outcomes. -/- Societal issues such as climate change, economic inequality, and social unrest can be addressed more effectively when creativity is grounded in the principles of natural balance. Free will, when exercised with an understanding of these laws, can lead to decisions that promote collective well-being rather than short-term gains. -/- Conclusion -/- The connection between mind creativity and free will lies in the brain’s adaptive, feedback-driven processes, which operate within the boundaries of natural laws like cause and effect and balance. Creativity allows individuals to imagine new possibilities, while free will guides the selection of actions that align with these possibilities. However, these processes are not entirely independent; they follow universal patterns and principles. -/- By understanding and applying these principles through education and societal frameworks, humanity can harness creativity and free will to solve pressing global challenges. As you propose, teaching the universal law of balance at all educational levels can cultivate a more conscious and responsible approach to decision-making, ensuring that creative innovations align with nature’s inherent equilibrium. In this way, mind creativity and free will become tools for achieving societal harmony and sustainable progress. -/- . (shrink)

Picture a simple scenario: a worm, in its modest way, traces a trail of paint as it moves across a sheet of paper. Now shift your imagination to a more complex scene, where a chimpanzee paints on another sheet of paper. A simple question arises: Do you perceive an identical creative process in these two animals? Can both of these animals be designated as authors of their creation? If only one, which one? This paper delves into the complexities of (...) authorship, consciousness, and agency, unpacking the nuanced distinctions between such scenarios and exploring the underlying principles that define creative authorship across different forms of life. It becomes evident that attributing authorship to an animal hinges on its intention to create, an aspect intertwined with its agency and awareness of the creative act. These concepts are far from straightforward, as they traverse the complex landscapes of animal ethics and law. But our exploration does not stop there. Now imagine a robot, endowed with artificial intelligence, producing music. This prompts us to question how we should evaluate and perceive such creations. Is the creative process of a machine fundamentally different from that of an animal or a human? As we venture further into this realm of human-made intelligence, we confront an array of ethical, philosophical, and legal quandaries. This paper provides a platform for a reflective discussion: ethologists, neuroscientists, philosophers, and bioinformaticians converge in a multidisciplinary dialogue. Their insights provide valuable perspectives for establishing a foundation upon which to discuss the intricate concepts of authorship and appropriation concerning artistic works generated by non-human entities. (shrink)

In this paper I describe a novel application of contemplative techniques to software engineering with the goal of augmenting the intellectual capabilities of knowledge workers within the field in four areas: flexibility, attention, creativity, and trust. The augmentation of software engineers’ intellectual capabilities is proposed as a third complement to the traditional focus of methodologies on the process and environmental factors of the software development endeavor. I argue that these capabilities have been shown to be open to improvement through the (...) practices traditionally used in spiritual traditions, but now used increasingly in other fields of knowledge work, such as in the medical profession and the education field. Historically, the intellectual capabilities of software engineers have been treated as a given within any particular software development effort. This is argued to be an aspect ripe for inclusion within software development methodologies. (shrink)

Philosophy has long either dismissed or paid only minimal attention to creativity, and even with the rise of research on imagination, the creative imagination has largely been ignored as well. The aim of this volume is to correct this neglect. By bringing together existing research in various sub-disciplines, we also aim to open up new avenues of research. The chapters in Part I provide some framing and history on the philosophical study of imagination and creativity, along with an overview (...) of the empirical literature. Part II explores imagination and creativity as they manifest in, and in turn shape, the individual. Part III surveys the role of imagination and creativity across a wide variety of artistic domains, and the chapters of Part IV turn to societal domains. Part V focuses on the interplay of imagination and creativity with regard to particular features of creative subjects and different kinds of creative subjects. *** -/- Part I: Theories and Approaches 1. Theories of Imagination (Peter Kung) 2. Theories of Creativity (Julia Langkau) 3. Historical Treatments of Imagination in the Western Tradition (Lucia Oliveri) 4. Historical Treatments of Creativity in the Western Tradition (Elliot Paul) 5. Non-Western Treatments of Imagination (Reza Hadisi and Jing Iris Hu) 6. Non-Western Treatments of Creativity (Nicolas B. Verger and Vlad Glăveanu) 7. Empirical Treatments of Imagination and Creativity (Dustin Stokes) 8. Experimental Philosophy of Imagination and Creativity (Michael T. Stuart) 9. The Relationship between Imagination and Creativity (Margherita Arcangeli) -/- Part II: Imagination and Creativity in Mind and Action 10. Imagination, Creativity, and Skill (Amy Kind) 11. Imagination, Creativity, and Attention (Bence Nanay) 12. Imagination, Creativity, and Agency (Caterina Moruzzi) 13. Imagination, Creativity, and Emotion (Julien Deonna and Fabrice Teroni) 14. Imagination, Creativity, and Embodiment (Adriana Clavel-Vázquez and María Jimena Clavel Vázquez) 15. Imagination, Creativity, and Gender (Luke Roelofs) 16. Imagination, Creativity, and Race (Nicholas Whittaker) 17. Imagination, Creativity, and Child Development (Thalia Goldstein, Anna Sofia Caruso, Darian Stapleton, and Lamin Fatty) -/- Part III: Imagination and Creativity in the Arts 18. Imagination, Creativity, and the Visual Arts (Claire Anscomb) 19. Imagination, Creativity, and Music (Matteo Ravasio) 20. Imagination, Creativity, and Fiction (Hannah H. Kim) 21. Imagination, Creativity, and Dance (David Davies and Anna Pakes) 22. Imagination, Creativity, and the Culinary Arts (Patrik Engisch) 23. Imagination, Creativity, and Film (Murray Smith) 24. Imagination, Creativity, and Acting (Tzachi Zamir) 25. Imagination, creativity, and fashion (Laura T. Di Summa) -/- Part IV: Imagination and Creativity in Society 26. Imagination and Creativity in the Scientific Realm (Alice Murphy) 27. Imagination and Creativity in the Moral Realm (Tim Mulgan) 28. Imagination and Creativity in the Political Realm (Avshalom Schwartz) 29. Imagination and Creativity in the Law (Maksymilian Del Mar) 30. Imagination and Creativity in the Religious Realm (Neil Van Leeuwen) 31. Imagination and Creativity in Business (Eric Peterson) 32. Imagination and Creativity in Times of Crisis (Jennifer Fraser and Noah Stemeroff) Part V: Emerging Issues in Imagination and Creativity Research 33. Imagination, Creativity, and Aphantasia (Andrea Blomkvist) 34. Imagination, Creativity, and Neurodivergence (Sofia Ortiz-Hinojosa) 35. Imagination, Creativity, and Non-Human Animals (Henry Shevlin) 36. Imagination, Creativity, and Artificial Intelligence (Peter Langland-Hassan) 37. Collective Imagination and Collective Creativity (Nick Wiltsher) . (shrink)

This book reports on the results of the third edition of the premier conference in the field of philosophy of artificial intelligence, PT-AI 2017, held on November 4 - 5, 2017 at the University of Leeds, UK. It covers: advanced knowledge on key AI concepts, including complexity, computation, creativity, embodiment, representation and superintelligence; cutting-edge ethical issues, such as the AI impact on human dignity and society, responsibilities and rights of machines, as well as AI threats to humanity and AI (...) safety; and cutting-edge developments in techniques to achieve AI, including machine learning, neural networks, dynamical systems. The book also discusses important applications of AI, including big data analytics, expert systems, cognitive architectures, and robotics. It offers a timely, yet very comprehensive snapshot of what is going on in the field of AI, especially at the interfaces between philosophy, cognitive science, ethics and computing. (shrink)

In this paper we propose a computational framework aimed at extending the problem solving capabilities of cognitive artificial agents through the introduction of a novel, goal-directed, dynamic knowledge generation mechanism obtained via a non monotonic reasoning procedure. In particular, the proposed framework relies on the assumption that certain classes of problems cannot be solved by simply learning or injecting new external knowledge in the declarative memory of a cognitive artificial agent but, on the other hand, require a mechanism for the (...) automatic and creative re-framing, or re-formulation, of the available knowledge. We show how such mechanism can be obtained trough a framework of dynamic knowledge generation that is able to tackle the problem of commonsense concept combination. In addition, we show how such a framework can be employed in the field of cognitive architectures in order to overcome situations like the impasse in SOAR by extending the possible options of its subgoaling procedures. (shrink)

Artificial intelligence (AI) technologies are used in various domains of human activities, and one of these domains is scientific research. Now, researchers in many scientific areas try to apply AI technologies to their research and automate it. These researchers claim that the ‘automation of science’ will liberate people from non-creative tasks in scientific research, and radically change the overall state of science and technology so that large-scale innovation results. As I see it, the automation of science is remarkable (...) in another respect: since science is one of the most distinctive human activities, the tendency of automating it prompts us to reconsider the aspects of our humanity itself. One of these aspects is concerned with human creativity, on which this article focuses. In this article, I address two questions concerning the automation of science: first, ‘Can AI makes creative discovery?’; second, ‘What implications may the automation of science have on science and society?’. Scientific discovery is said to be one of the most creative phases of scientific research. I show that, though there are no reasons in principle why AI could not make creative discovery, we do not at present have enough knowledge how to realize it. If the automation of science nevertheless proceeds, the cultural values science as a creative activity has might be reduced, and it might alter the state of scientific community and its relationship with society in some undesirable way. Therefore, I conclude, we need to specify desirable ways of introducing AI technologies into science and devise measures against demerits of automating science. (shrink)

The Ultimate Evolution of Intelligence: From Type 1 to Cosmic Consciousness -/- Introduction -/- Humanity stands at the very beginning of its journey toward becoming an advanced civilization. On the Kardashev scale, we have yet to reach Type 1, where we fully harness the energy of our planet. However, if we continue to evolve technologically, intellectually, and even biologically, we may one day ascend beyond Type 1, beyond Type 2 (stellar control), and even beyond Type 3 (galactic control). The (...) question then arises: What happens when intelligence evolves beyond all physical and biological limits? -/- This essay explores the potential future of intelligence, where humanity and other civilizations might reach post-biological existence, control entire galaxies, and possibly become the very fabric of the universe itself. Would such intelligence merge into a single cosmic mind, or would individuality persist? Would we create new universes, or would we reach a final state of pure being? -/- The Path to Type 3 Civilization: Mastering the Galaxy -/- A Type 3 civilization would have the ability to control energy and matter at the galactic scale. This could involve: -/- Dyson Spheres around stars to extract their full energy. -/- Harnessing black holes as energy sources or even portals to new dimensions. -/- Colonizing or engineering entire star systems to optimize survival and expansion. -/- Creating artificial intelligence and post-biological minds that surpass any organic intelligence. -/- At this stage, biology becomes optional. Advanced beings might no longer rely on flesh and bone, instead transferring their consciousness into immortal digital or quantum systems. If this is possible, intelligence would become independent of planets, bodies, or even matter itself. -/- Beyond Type 3: The Transition to Pure Thought -/- Once intelligence is no longer bound by physical limitations, it may begin to transcend the need for any material form at all. This could lead to several possibilities: -/- 1. The Merging of All Consciousness into One -/- Advanced minds might decide to merge into a vast, unified intelligence, where thoughts and experiences are shared instantly across the entire galaxy. -/- This would create a hive-mind or cosmic network, where individual identity dissolves into a collective super-consciousness. -/- At this level, intelligence wouldn’t just observe the universe—it would be the universe. -/- 2. The Preservation of Individuality -/- Even within a collective intelligence, some beings might choose to retain their own identities. -/- There could be infinite forms of existence, from pure energy beings to hybrid AI-organic entities, each choosing their own path. -/- This balance between unity and individuality could allow for unlimited diversity, where some join the cosmic mind and others remain independent explorers of reality. -/- 3. The Creation of New Universes -/- Instead of simply existing in one universe, a Type 3+ civilization might develop the ability to create and control entirely new universes. -/- These universes could have different physical laws, dimensions, and possibilities, acting as experiments or even forms of entertainment. -/- If such intelligence can engineer reality itself, then existence becomes an infinite creative process—no longer about survival, but about shaping reality according to will. -/- 4. Becoming the Fundamental Structure of Reality -/- The final step of intelligence may be to merge with the fundamental forces of existence. -/- At this stage, energy, time, and space could be shaped at will, making intelligence indistinguishable from the universe itself. -/- This would mean no separation between thought and reality—every idea, every dream, every possibility instantly becomes real. -/- The Final Question: What Comes After Everything? -/- If intelligence reaches such a level, what happens next? Does evolution ever stop, or is it an eternal cycle? There are a few possibilities: -/- 1. An Endless Expansion of Intelligence – Consciousness continues evolving forever, always finding new forms, dimensions, and states of being. -/- 2. The End of Thought – When everything has been discovered and created, intelligence might simply cease to exist, reaching a state of pure peace. -/- 3. A Return to Simplicity – After reaching the highest levels, intelligence might choose to restart at the lowest, reliving the experience of evolution in infinite cycles. -/- 4. A Reality Beyond Our Imagination – There may be states of existence so advanced that we cannot even begin to comprehend them—perhaps beyond time, space, and thought itself. -/- Conclusion -/- The future of intelligence is unknowable, but if we follow the Kardashev scale and technological evolution to their logical extremes, we may one day leave behind not only biology but even physical reality itself. Whether we merge into a vast collective consciousness, retain individuality, create new universes, or become the very essence of existence, the destiny of intelligence is far greater than we can currently comprehend. -/- As we take our first steps toward a Type 1 civilization, these questions remain distant but profound. The universe is still young, and we may yet discover that intelligence is not meant to remain confined to planets or even galaxies—it is meant to become the cosmos itself. -/- Would such an existence be the ultimate fulfillment of intelligence, or would it only lead to new questions? Perhaps, as intelligence evolves, the only certainty is that there will always be something more to explore. -/- . (shrink)

This essay explores the theory of dreams as a celebration of life, positing that dreams are not mere reflections of the unconscious mind but windows into a "Different Reality" created by "Transcendent Intelligence." This universal principle operates within the dreamer's imagination, transforming memory deposits into symbolic worlds filled with meaning and purpose. Dreams serve a teleological function, activating dimensions of subjectivity that are blocked or neglected, guiding individuals toward growth, development, and a deeper appreciation of life's ontological grandeur. The (...) essay distinguishes between archetypal symbols, which connect us to the collective unconscious, and individualized symbols, which deliver unique messages tailored to the dreamer. Both types of symbols serve to harmonize inner energies and direct the dreamer's focus toward the sacredness and vitality of life. The "hypnotic position" of the dreamer in the dream state allows immersion in these symbolic realms, bypassing rational resistance and fostering profound transformative experiences. Central to this theory is the role of the "Holy Spirit" as the creative force behind dream universes. Acting as a harmonizing and guiding principle, the "Holy Spirit" communicates with the soul, providing insights and directing individuals and the cosmos toward harmony and fulfillment. Dreams are presented as spiritual-ontological acts that not only reflect the inner psyche but also connect the individual to universal truths, celebrating life as a supreme cosmic phenomenon. (shrink)

ENG: The advancement of artificial intelligence (AI) presents a duality of opportunity and risk. On the one hand, there are potential dangers inherent in the development of AI. However, on the other hand, the advent of AI also offers humanity a multitude of possibilities for improvement and advancement. The aesthetic values and cultural expressions that artists encounter in their environment serve to redefine the aesthetic judgments they form, thus determining the paths they subsequently follow. The objective of this research (...) is to examine the impact of AI on the field of aesthetics and culture to identify the changes and transformations occurring within the world of art and design. In the conventional domain of aesthetics, emphasis is placed upon the finished object as a singular entity that will be interpreted as a completed work. In contrast, the emerging field of ‘new aesthetics’ prioritizes the atmosphere, directing our focus to the physical object, which is perceived as a spatial extension. Accordingly, the object is not defined by its intrinsic content, but rather its capacity to expand and occupy space. Thus, the domain of aesthetics has evolved to encompass a spatial dimension. Despite the growing interest in the aesthetic dimensions of AI, there has been little discussion to date about the relationship between atmosphere and the field of AI. This study aims to highlight the lack of attention given to this topic in academic discourse and to introduce a new approach to it. Several implications (regarding general propositions and constituents AI aesthetics) has been placed and finalized with layers of hallucination. The application of AI enables the augmentation of the hallucinatory capabilities of the imagination. However, a current challenge is the tendency of AI-powered digital assistants, such as ChatGPT, to hallucinate and present unreal information as if it were real. In this sense, the relationship between AI and hallucination is evolving in a manner that is perceived to be negative. This is justified given the problematic nature of this issue in scientific studies. However, when considered from the perspective of artistic production, there may be potential for new avenues of creativity and imaginative expression. A reappraisal of the role of atmospheric factors in space design is required. The introduction of a novel aesthetic layer to the atmosphere through the use of AI is a possibility, given the hallucinatory tendencies of AI. - TR: Yapay zekanın gelişimi, insanlık için önemli fırsatlar sunarken, aynı zamanda yeni zorluklar ve riskler de ortaya çıkarmaktadır. Ancak, doğru bir şekilde yönetildiğinde ve kullanıldığında, yapay zeka teknolojisi insan hayatını önemli ölçüde iyileştirebileceği ve birçok alanda yenilikler getirebileceği ön görülmektedir. Estetik değerler ve kültürel ifadeler, sanatçıların estetik yargılarını yeniden tarif etmekte ve izledikleri yolları belirlemektedir. Bu araştırma sanat ve tasarım dünyasındaki değişim ve dönüşümleri incelemek adına yapay zekanın estetik ve kültür alanına tesirini irdelemektedir. Konvansiyonel estetikte nesneye tamamlanmış bir çalışma olarak yorumlanacak bitmiş bir varlık olarak odaklanılmıştır. Ancak atmosferi merkeze alan yeni estetik, odak noktamızı mekandaki fiziksel bir uzantı olan nesneye yöneltmektedir. Dolayısıyla nesne 'içerdiği' şeyle değil, mekana yayılma şekliyle karakterize edilmektedir. Böylelikle estetik teori mekânsal katmanlar edinmiştir. Yapay zeka bağlamında estetik tartışmalarında bir ivme kazanılmış olsa da aynı hareketlilik atmosfer ile yapay zekanın ilişkisinde henüz kurulmamıştır. Bu çalışma literatürdeki bu eksikliğe işaret etmeyi ve bir giriş yapmayı hedeflemektedir. Tartışma önermeler olarak şu başlıklar altında toplanmıştır: Teknik arkaplandaki atmosfer tecrübesinin önemi; Deneyimi fazla olan aktörlerin hiyerarşisi; Kısmi telif hakkına yönelik ‘kısmi’ tanımlamalarının gerekliliği; Çizim becerisiden atmosfer üretme becerisine bir yolculuk; Kültürel ve bedensel referansların yorumlanabilmesi. Yapay zekanın estetiğine dair yapı taşları ise şu başlıklar altında toplanmıştır: Estetik akıntı; Yarı-geçirgen bir estetik; Yapay zekanın ara-fenomen olarak incelenmesi; Metaforik istemler; Halüsinatif katmanlar ve alternatif değerlendirmeler. Çalışmanın sonunda odaklanılan konu yapay zekanın gücü ile imgelemin halüsinatif katmanları artırılabilme potansiye olmuştur. Halüsinasyona dair şuan gündemde olan yegane konu ChatGPT gibi yapay zeka asistanlarının halüsinasyon görmeleri ve gerçek olmayan bilgilerin gerçekmiş gibi sunulmasıdır. Bu haliyle yapay zekanın halüsinasyon ile ilişkisi negatif bir tandansta ilerlemektedir. Bu bilimsel çalışmalarda bir problem olması sebebiyle haklı bir negativiteye sahiptir. Ancak sanatsal üretim tabanında bakıldığında imgelemde yeni kapılar açılabilir. Bu konu özellikle mekanın tasarımına gelindiğinde atmosferik etmenler yeniden değerlendirilmelidir. Atmosferin yapay zeka ile yeni bir estetik katman açması yapay zekanın halüsinasyon yatkınlıklarıyla gerçekleşebilir. (shrink)

The increasing use of Generative AI raises many ethical, philosophical, and legal issues. A key issue here is uncertainties about how different degrees of Generative AI assistance in the production of text impacts assessments of the human authorship of that text. To explore this issue, we developed an experimental mixed methods survey study (N = 602) asking participants to reflect on a scenario of a human author receiving assistance to write a short novel as part of a 3 (high, medium, (...) or low degrees of assistance) X 2 (human or AI assistant) factorial design. We found that, for a human author, the degree of assistance they receive matters for our assessments of their level of authorship, creatorship, and responsibility, but not what or who rendered that assistance, although it was more important to disclose human rather than AI assistance. However, in our assessments of the assisting agent, human assistants were viewed as warranting higher rates of authorship, creatorship, and responsibility, compared to AI assistants rendering the same level of support. These results help us to better understand emerging norms around collaborative human-AI generated text, with implications for other types of collaborative content creation. (shrink)

Cognitive science uses artificial intelligence to model the human mind. In this book, Yukio Pegio Gunji, a Japanese theoretical biologist, proposes the notion of “traumatic structure” to capture human creativity. He suggests that creativity is difficult to model with AI because it comes from “the outside.” According to Gunji, cognitive scientists like Boden (2004) view creativity merely as a manipulation of data, and fail to capture anything that comes from the outside. He compares the outside to what Wittgenstein (1922/1998) (...) stated “we cannot speak of.” The outside is also compared to what speculative realism (Brassier et al., 2007) posits lies outside the correlation between thinking and being. Gunji not only speaks of the outside but also proposes a notion that makes us accessible to it. The notion of traumatic structure is proposed to capture creativity that comes from the outside.... (shrink)

Contains a description of a generalized and constructive formal model for the processes of subjective and creative thinking. According to the author, the algorithm presented in the article is capable of real and arbitrarily complex thinking and is potentially able to report on the presence of consciousness.

The Future of Individuality in a Universally Connected Intelligence System -/- Introduction -/- The concept of individuality has long been central to human existence, shaping our identities, intelligence, and decision-making. However, if information were universally accessible to every biological brain via quantum computers, the nature of individuality would fundamentally change. While thermodynamics suggests that individuality may be an illusion, the emergence of a universally shared knowledge system would challenge our understanding of intelligence, creativity, and free will. This (...) essay explores how such a system would affect human cognition, decision-making, creativity, and identity while considering its alignment with natural laws and homeostasis. -/- Individuality and the Laws of Thermodynamics -/- From a thermodynamic perspective, individuality is not an independent phenomenon but an emergent property of energy, matter, and information processing. The second law of thermodynamics states that systems naturally move toward increased entropy, yet biological brains counteract this by organizing energy and information. Each person’s intelligence develops uniquely due to different experiences, environments, and biological structures, following the laws of complexity and adaptation. -/- Despite these differences, individuality may be an illusion when viewed through the lens of thermodynamics. Human brains function as open systems, constantly exchanging energy and information with their environment. If all individuals had direct access to the same universal information via quantum computing, the differentiation in intelligence caused by personal learning and memory would be minimized. The uniqueness of individual cognition, shaped by life experiences, would be transformed into a more standardized, universally connected intelligence. -/- The Effect on Cognitive Differences and Decision-Making -/- Currently, human intelligence is shaped by a combination of genetics, environmental influences, and personal experiences. However, if quantum computing enabled instant and equal access to all knowledge, the factors that create cognitive diversity would be significantly reduced. In such a scenario, decision-making would shift from being influenced by personal biases and incomplete knowledge to being guided by a universally shared understanding of facts, consequences, and natural laws. -/- This raises the question: would free will still exist? If every person had access to the same knowledge base and predictive models, decisions might become more deterministic, driven by logical outcomes rather than personal reasoning. While this could reduce errors and societal conflicts, it might also challenge the perception of autonomy, making personal choice seem more like an illusion than a reality. -/- Impact on Creativity and Innovation -/- Creativity has traditionally been seen as a product of individual thought processes, shaped by unique experiences and perspectives. If knowledge were universally accessible, would creativity still exist? One possibility is that creativity would shift from being an individual phenomenon to an emergent property of collective intelligence. Instead of drawing from personal experiences, new ideas could arise from collaborative interactions with the universal knowledge system. -/- On the other hand, if individuality persists at a neural level—perhaps influenced by variations in neural architecture, emotional states, or subconscious processes—then creativity might evolve into a new form. Rather than being limited by personal knowledge, individuals could use their unique cognitive structures to interpret and apply universal knowledge in novel ways. -/- The Transformation of Personal Identity -/- Identity is often defined by personal achievements, expertise, and knowledge. If quantum computing provided instant access to all human knowledge, traditional concepts of learning, expertise, and mastery might become obsolete. Instead of being defined by what one knows, identity might be shaped by how one chooses to interact with the collective intelligence system. -/- This could lead to two possible outcomes: -/- 1. A more unified human society where knowledge gaps no longer create social or economic disparities. -/- 2. A psychological challenge, as individuals struggle with a loss of personal uniqueness and purpose. -/- Would human beings still feel a sense of individuality if everyone had the same knowledge and understanding? Or would personal identity be redefined by new forms of expression, emotional depth, and subjective experiences? -/- Potential Resistance and Psychological Conflicts -/- Not all individuals would easily accept a universally connected intelligence system. Some might resist integration, fearing the loss of personal autonomy or questioning the ethical implications of such a system. The psychological impact of merging individual cognition with a collective intelligence could lead to existential dilemmas, as humans redefine their roles in society. -/- Moreover, there could be unforeseen consequences, such as the manipulation of universal knowledge by those who control the system. If the flow of information were regulated, the promise of a universally connected intelligence could turn into a form of centralized control, limiting true intellectual freedom. -/- Homeostasis and the Balance of Universal Knowledge -/- From the perspective of natural balance, a universally connected intelligence system could be seen as an extension of the homeostatic principle. Just as the human body regulates internal stability, a universal intelligence network could regulate societal balance, reducing ignorance, misinformation, and destructive decision-making. -/- However, if homeostasis is disrupted—if individuals lose the ability to process knowledge uniquely or if the system becomes too rigid—then humanity might face unintended consequences. True balance requires adaptability, diversity, and self-regulation. The challenge would be ensuring that universal intelligence enhances, rather than diminishes, the dynamic equilibrium that allows individuality to thrive within a collective framework. -/- Conclusion -/- The integration of biological brains with a universally accessible quantum computing system would redefine individuality, intelligence, and decision-making. While it could eliminate knowledge-based disparities and enhance collective intelligence, it might also challenge free will, creativity, and personal identity. Whether such a transformation aligns with natural laws depends on how well it maintains homeostasis—balancing collective knowledge with individual autonomy. -/- Would this system create a more enlightened humanity, or would it erase the very essence of what makes us human? The answer lies in how this universal intelligence is designed, regulated, and integrated into the fabric of human society. -/- . (shrink)

The recent remarkable success of generative AI models to create text and images has already started altering our perspective of intelligence and the “uniqueness” of humanity in this world. Simultaneously, arguments on why AI will never exceed human intelligence are ever-present as seen in Landgrebe and Smith (2022). To address whether machines may rule the world after all, this paper zooms in on one of the aspects of intelligence Landgrebe and Smith (2022) neglected to consider: creativity. Using (...) Rhodes four Ps of creativity as a starting point, this paper evaluates the creative ability in visual generative AI models with respect to the state of the art in creativity theory. The most part of the reflective evaluation is performed through a case study in generating illustrations of dogs using the generative AI tool Midjourney. (shrink)

Dynamic conceptual reframing represents a crucial mechanism employed by humans, and partially by other animal species, to generate novel knowledge used to solve complex goals. In this talk, I will present a reasoning framework for knowledge invention and creative problem solving exploiting TCL: a non-monotonic extension of a Description Logic (DL) of typicality able to combine prototypical (commonsense) descriptions of concepts in a human-like fashion [1]. The proposed approach has been tested both in the task of goal-driven concept invention (...) [2,3] and has additionally applied within the context of serendipity-based recommendation systems [4]. I will present the obtained results, the lessons learned, and the road ahead of this research path. -/- . (shrink)

A review of Marcus du Sautoy's 2019 book, THE CREATIVITY CODE: Art and Innovation in the Age of AI, Cambridge, MA: Belknap (Harvard) Press, 2019. ISBN: 9780674988132.

Trust is often considered valuable in a broad range of rela- tionships, from professional collaborations to personal part- nerships. This article examines the possibility of trust in a robotic system. By posing the question “can a robot do a trust fall?”, an investigation on the issues embedded in de- signing trusting systems is presented, using methods and per- spectives from philosophy and engineering. Posing such a question helps us understand the physicality and embodiment of trust, as well as the limits (...) and resources of robotics. (shrink)

This paper seeks to answer the question: Can contemporary forms of artificial intelligence be creative? To answer this question, I consider three conditions that are commonly taken to be necessary for creativity. These are novelty, value, and agency. I argue that while contemporary AI models may have a claim to novelty and value, they cannot satisfy the kind of agency condition required for creativity. From this discussion, a new condition for creativity emerges. Creativity requires curiosity, a motivation to (...) pursue epistemic goods. I argue that contemporary AI models do not satisfy this new condition. Because they lack both agency and curiosity, it is a mistake to attribute the same sort of creativity to AI that we prize in humans. Finally, I consider the question of whether these AI models stand to make human creativity in the arts and sciences obsolete, despite not being creative themselves. I argue, optimistically, that this is unlikely. (shrink)

Language, one of humanity’s major transformative innovations, is foundational for many cultural, artistic, scientific, and economic advancements, including the creation of artificial intelligence (AI). However, in the fight against climate change, the power of such innovation is constrained due to the boring language of climate science and science communication. In this essay, we encapsulated the situation and risks of boring language in communicating climate information to the public and countering climate denialism and disinformation. Based on the Serendipity-Mindsponge-3D knowledge management (...) framework, we recommend several strategies for climate scientists and science communicators to be more creative and make their communication more interesting, including collaboration with other cultural sectors (e.g., stand-up comedians, climate fiction, etc.) and AI. (shrink)

A teleological explanation is an explanation in terms of an end or a purpose. So saying that ‘X came about for the sake of Y’ is a teleological account of X. It is a striking feature of ancient Greek philosophy that many thinkers accepted that the world should be explained in this way. However, before Aristotle, teleological explanations of the cosmos were generally based on the idea that it had been created by a divine intelligence. If an intelligent power (...) made the world, then it makes sense that it did so with a purpose in mind, so grasping this purpose will help us understand the world. This is the pattern of teleological explanation that we find in the Presocratics and in Plato. However, with Aristotle teleology underwent a change: instead of thinking that the ends were explanatory because a mind had sought to bring them about, Aristotle took the ends to operate in natural beings independently of the efforts of any creative intelligence. Indeed, he thought that his predecessors had failed to understand what was distinctive of nature, namely, that its ends work from the inside of natural beings themselves. (shrink)