Areas of Artificial Intelligence

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)

The aim of this paper is to grasp the relevant distinctions between various ways in which models and simulations in Artificial Intelligence (AI) relate to cognitive phenomena. In order to get a systematic picture, a taxonomy is developed that is based on the coordinates of formal versus material analogies and theory-guided versus pre-theoretic models in science. These distinctions have parallels in the computational versus mimetic aspects and in analytic versus exploratory types of computer simulation. The proposed taxonomy cuts across the (...) traditional dichotomies between symbolic and embodied AI, general intelligence and symbol and intelligence and cognitive simulation and human/non-human-like AI. -/- According to the taxonomy proposed here, one can distinguish between four distinct general approaches that figured prominently in early and classical AI, and that have partly developed into distinct research programs: first, phenomenal simulations (e.g., Turing’s “imitation game”); second, simulations that explore general-level formal isomorphisms in pursuit of a general theory of intelligence (e.g., logic-based AI); third, simulations as exploratory material models that serve to develop theoretical accounts of cognitive processes (e.g., Marr’s stages of visual processing and classical connectionism); and fourth, simulations as strictly formal models of a theory of computation that postulates cognitive processes to be isomorphic with computational processes (strong symbolic AI). -/- In continuation of pragmatic views of the modes of modeling and simulating world affairs, this taxonomy of approaches to modeling in AI helps to elucidate how available computational concepts and simulational resources contribute to the modes of representation and theory development in AI research—and what made that research program uniquely dependent on them. (shrink)

Can the machines that play board games or recognize images only in the comfort of the virtual world be intelligent? To become reliable and convenient assistants to humans, machines need to learn how to act and communicate in the physical reality, just like people do. The authors propose two novel ways of designing and building Artificial General Intelligence (AGI). The first one seeks to unify all participants at any instance of the Turing test – the judge, the machine, the human (...) subject as well as the means of observation instead of building a separating wall. The second one aims to design AGI programs in such a way so that they can move in various environments. The authors of the article thoroughly discuss four areas of interaction for robots with AGI and introduce a new idea of techno-umwelt bridging artificial intelligence with biology in a new way. (shrink)

Zero and one are the circumference and diameter of an always-conserved circle. Explaining everything in philosophy, physics, and psychology. This produces a completely tokenized 'reality' with important implications for governmental and financial systems. As is, already, happening, in the exploding 'world' of NFT ('crypto' 'currency' in general) based on the statement and the diagram, and the notion of identity (knowledge as power).

CAT4 is proposed as a general method for representing information, enabling a powerful programming method for large-scale information systems. It enables generalised machine learning, software automation and novel AI capabilities. This is Part 3 of a five-part introduction. The focus here is on explaining the semantic model for CAT4. Points in CAT4 graphs represent facts. We introduce all the formal (data) elements used in the classic semantic model: sense or intension (1st and 2nd joins), reference (3rd join), functions (4th join), (...) time and truth (logical fields), and symbolic content (name/value fields). Concepts are introduced through examples alternating with theoretical discussion. Some concepts are assumed from Part 1 and 2, but key ideas are re-introduced. The purpose is to explain the CAT4 interpretation, and why the data structure and CAT4 axioms have been chosen: to make the semantic model consistent and complete. We start with methods to translate information from database tables into graph DBs and into CAT4. We conclude with a method for translating natural language into CAT4. We conclude with a comparison of the system with an advanced semantic logic, the hyper-intensional logic TIL, which also aims to translate NL into a logical calculus. The CAT4 Natural Language Translator is discussed in further detail in Part 4, when we introduce functions more formally. Part 5 discusses software design considerations. (shrink)

Topics in Cognitive Science, Volume 13, Issue 1, Page 243-247, January 2021.

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.

This paper presents a practical case study showing how, despite the nowadays limited collaboration between AI and Cognitive Science (CogSci), cognitive research can still have an important role in the development of novel AI technologies. After a brief historical introduction about the reasons of the divorce between AI and CogSci research agendas (happened in the mid’80s of the last century), we try to provide evidence of a renewed collaboration by showing a recent case study on a commonsense reasoning system, built (...) by using insights from cognitive semantics. (shrink)

Aiming at the conflict between access and storage due to the continuous accumulation of knowledge storage in the field of artificial intelligence in welding, the author uses RDF (Resource Description Framework) to represent the technological knowledge of CO2 gas shielded welding, designs and implements a knowledge base based on Web semantic and stores it in HDFS, which is used to solve the difficulties of mass data storage. By studying the mechanism and characteristics of spatter in CO2 gas shielded welding, aiming (...) at the common measures and means of reducing spatter, the author realizes the inference function based on welding process rules by using Jena framework and optimizes the craft realization, finally integrates the core functions into the Spring framework and adopts the HTML5-based interface design to enable a new welding process expert system across the Internet and mobile platform. (shrink)

The rapid advancement of artificial intelligence (AI) has led to renewed ambitions of developing artificial general intelligence. Alongside this has been a resurgence in the development of virtual and augmented reality (V/AR) technologies, which are viewed as “disruptive” technologies and the computing platforms of the future. V/AR effectively bring the digital world of machines, robots, and artificial agents to our senses while entailing the transposition of human activity and presence into the digital world of artificial agents and machine forms of (...) intelligence. The intersection of humans and machines in this shared space brings humans and machines into ontological continuity as informational entities in a totalizing informational environment, which subsumes both cyber and physical space in an artificially constructed virtual world. The reconstruction of mind (through AI) and world (through V/AR) thus has significant epistemological, ontological, and anthropological implications, which constitute the underlying features in the artificialization of mind and world. (shrink)

This article interrogates the challenge artificial general intelligence (AGI) poses to religion and human societies, in general. More specifically, it seeks to respond to “Singularity”—when machines reach a level of intelligence that would put into question the privileged position humanity enjoys as imago Dei . Employing the Bemba notion of mystico‐relationality in dialogue with the concepts of the “created co‐creator” and Christ the Key, it argues for the possibility of AI participating in imago Dei . The findings show that imaging (...) is a fluid, participatory activity that aims at likeness, but also social harmony. It also argues that God is the only original creator, humans are created creators, and that every aspect of visible existence, including AI, is inherently divine imaging. However, strong imaging is only attainable based on the only One and True Image—Christ, whose union of the material and the divine means that all creation can image, excluding nothing, even AI. (shrink)

In the mid‐twentieth century, theorists began seriously forecasting possibilities for artificial intelligence (AI). As related research gathered momentum and resources, the topic made impressions on public discourse. One effect was increasingly pointed emphasis on AI in popular narratives. Although considerably earlier thematic examples may be located, we can observe swelling and generally pessimistic threads of speculation in science fiction of the 1950s and 1960s. This discussion identifies some pertinent science fiction texts from that period, alongside public discussion arising from contemporary (...) research. One consistent theme is human receptiveness to the numinous , and the capacity to ascribe personality and even divinity to sufficiently impressive manifestations, even artificial ones. Science fiction has long contemplated such reactions, prefiguring today's anticipations of AIs that might abruptly develop themselves beyond any possible human comprehension or control. This body of exploratory projections is a useful resource for the engineers and philosophers currently grappling with realistic prospects for Western humanity's shifting conception of itself. (shrink)

The idea of artificial intelligence implies the existence of a form of intelligence that is “natural,” or at least not artificial. The problem is that intelligence, whether “natural” or “artificial,” is not well defined: it is hard to say what, exactly, is or constitutes intelligence. This difficulty makes it impossible to measure human intelligence against artificial intelligence on a unique scale. It does not, however, prevent us from comparing them; rather, it changes the sense and meaning of such comparisons. Comparing (...) artificial intelligence with human intelligence could allow us to understand both forms better. This paper thus aims to compare and distinguish these two forms of intelligence, focusing on three issues: forms of embodiment, autonomy and judgment. Doing so, I argue, should enable us to have a better view of the promises and limitations of present-day artificial intelligence, along with its benefits and dangers and the place we should make for it in our culture and society. (shrink)

This paper focuses on the research field of machine ethics and how it relates to a technological singularity—a hypothesized, futuristic event where artificial machines will have greater-than-human-level intelligence. One problem related to the singularity centers on the issue of whether human values and norms would survive such an event. To somehow ensure this, a number of artificial intelligence researchers have opted to focus on the development of artificial moral agents, which refers to machines capable of moral reasoning, judgment, and decision-making. (...) To date, different frameworks on how to arrive at these agents have been put forward. However, there seems to be no hard consensus as to which framework would likely yield a positive result. With the body of work that they have contributed in the study of moral agency, philosophers may contribute to the growing literature on artificial moral agency. While doing so, they could also think about how the said concept could affect other important philosophical concepts. (shrink)

Researchers in artificial intelligence and robotics often include a timeline stretching into the future in which they predict the convergence between human and artificial intelligence. Ray Kurzweil, for example, predicts that in a mere 100 years humans and intelligent machines will become indistinguishable from one another, both ceasing to have permanent corporeal forms. This article argues that the one thing we can know for sure about the future is that when it arrives, it will be different from what we imagined. (...) The cultural work that predictions like Kurzweil’s perform is less to prognosticate the future than to shape our understanding of what it means to be human in the present. Working from the ‘sense-think-act’ paradigm foundational to work in artificial intelligence and robotics, this article argues that predictions in all three areas feed back to affect how the human is envisioned in the present. The reconfigurations these predictions bring about are to downplay consciousness, embodied cognition, and evolutionary inertia. The article concludes by critically evaluating contemporary resistances to the posthuman, especially in the writings of Rodney Brooks and Francis Fukuyama. (shrink)

In the article, I propose that the body phantom is a phenomenal and functional model of one’s own body. This model has two aspects. On the one hand, it functions as a tacit sensory representation of the body that is at the same time related to the motor aspects of body functioning. On the other hand, it also has a phenomenal aspect as it constitutes the content of conscious bodily experience. This sort of tacit, functional and sensory model is related (...) to the spatial parameters of the physical body. In the article, I postulate that this functional model or map is of crucial importance to the felt ownership parameters of the body, which are themselves considered as constituting the phenomenal aspect of the aforementioned model. (shrink)

RésuméIl y a, dans la notion de dialectique moderne, deux perspectives de l'évolution intellectuelle: l'intelligence peut n'ětre encore que la pointe extrěme de l'adaptation biologique ou elle peut ětre déjà l'expression de la raison. C'est ce caractère ouvert des dialectiques scientifiques que nous retrouvons dans les interprétations étudiées ici: le pancalisme de Baldwin, la pensée sans images de Binet, l'interprétation de Janet et celle de Piaget, qui contribuent à enrichir la notion de genèse de l'intelligence et à en faire saisir (...) l'évolution.ZusammenfassungDie geistige Entwicklung wird in der modernen Dialektik aus zwei Gesichtspunkten erfasst, und zwar mag die Intelligenz wohl nur noch das äusserste Ende der biologischen Anpassung oder schon der Ausdruck der Vernunft sein. Das Offene eben der wissenschaftlichen Dialektiken finden wir in den hier erörterten Deutungen wieder, im Baldwinschen Pancalismus, im Denken ohne Bilder von Binet, in den Deutungen von Janet und von Piaget, die dazu beitragen, den Begriff von der Entstehungsgeschichte der Intelligenz zu bereichern und deren Evolution verständlich zu machen.There are two prospects of intellectual evolution in the notion of dialectics: intelligence can either be the ultimate point of biological adaptation or it can already be the expression of reason. Within this open characteristics of scientific dialectics are to be found the interpretations studied here: Baldwin's pancalism, Binet's » thought without image «, Janet's and Piaget's interpretations which help to enrich the knowledge of the genesis of intelligence and its evolution. (shrink)

Purpose: Reflecting on the propensity of our culture to think in local linear causality such as “genetic determination” by examining systems and their operation. Findings: The existence of a system is operational, and a system exists as such only as long as the operational conditions that constitute it prevail. As the observer distinguishes a system, he or she specifies with his or her operation of distinction the conditions that constitute the system. Since the adaptation between living systems and medium is (...) invariant, all that happens in their history must happen as a flow of structural congruent changes conserving their organization and adaptation. Therefore, the ontogenic phenotype is not genetically determined but arises in the process of epigenesis i.e., along a path of interactions starting from the initial structure of both system and medium, along the conservation of its living. Implications: Natural selection should not be considered as a directing pressure causing the differential survival of living systems but as its result. (shrink)

This paper evaluates the use of synthetic modeling to investigate the relationship between organic and artificial forms of behavioral mal-adaptability. In particular, it addresses the character of organic phobias and the issue of testing the validity of artificial models of these phobias. The two main accounts of organic phobias, the biological or evolutionary and the associative learning explanation, are used as the starting points of this exercise. The learning approach is explored in terms of a probability based model which uses (...) a discrepancy mechanism to represent the artificial phobia, while the endogenous aspect of artificial phobias is discussed in terms of the potential offered by evolutionary learning. Several methods of assessing the construct validity of artificial phobias are outlined. (shrink)

In this paper I argue that recent technological transformations in the life-cycle of information have brought about a fourth revolution, in the long process of reassessing humanity’s fundamental nature and role in the universe, namely the idea that we might be informational organisms among many agents, inforgs not so dramatically different from clever, engineered artefacts, but sharing with them a global environment that is ultimately made of information, the infosphere. In view of this important evolution in our self-understanding, and given (...) the sort of IT-mediated interactions that humans will increasingly enjoy with their environment and a variety of other agents, whether natural or synthetic, we have the unique opportunity of developing a new ecological approach to the whole of reality. (shrink)

Classically, the question of recognizing another subject is posed unilaterally, in terms of the observed behaviour of the other entity. Here, we propose an alternative, based on the emergent patterns of activity resulting from the interaction of both partners. We employ a minimalist device which forces the subjects to externalize their perceptual activity as trajectories which can be observed and recorded; the results show that subjects do identify the situation of perceptual crossing with their partner. The interpretation of the results (...) is guided by comparable evolutionary robotics simulations. There are two components to subjects’ recognition capacities: distinguishing mobile and fixed entities; and behaving so as to interact with their partner rather than with a mobile lure. The “Other” is characterized by the feature that there is sufficient regularity in the interactions to encourage the formation of anticipations; but sufficient indetermination that the actual behaviour is consistently surprising. Keywords: Recognition of other; perceptual crossing; evolutionary robotics. (shrink)

The paper starts out with a discussion of the difference between mythology and feasible concepts in robotics. Based on a novel brain model and an appropriate formalism, a distinction is made between auto-reflection and hetero-reflection of the robot and self-reflection of its constructor. Whereas conscious robots are able to auto-reflect their mechanical behavior and hetero-reflect the behavior with regard to the environment, the capability of self-reflection must remain within the constructor of the robot. This limitation of the construction of conscious (...) robots is mainly brain-theoretically and philosophically founded. Finally, it is proposed that in addition to a second nature, human technology may succeed in creating a third nature embodied as a society of robots. (shrink)

The present paper studies self-awareness and introduces some self-awareness related incidents. It then describes the relationship between self-awareness and consciousness and explains the MoNAD, a neural network circuit developed by the authors that capably describes the phenomena of self-awareness and consciousness. A model of self-awareness is then presented. This self-awareness model is a parallel network system in which multiple independent MoNADs communicate with one another. In experiments with robots, three test robots were used: (1) a self-image robot reflected in a (...) mirror, (2) another robot, and (3) a cable-connected robot behaving as commanded by the self-robot. The reactions of the three test robots to the self-robot were compared to investigate the self-awareness of the self-robot. The experiments have shown that the conditions required for the self-robot to interpret the test robot to be part of itself are: (1) the test robot must return a reaction within a certain period of time that is inte.. (shrink)

There is a debate about the possibility of mind-uploading – a process that purportedly transfers human minds and therefore human identities into computers. This paper bypasses the debate about the metaphysics of mind-uploading to address the rationality of submitting yourself to it. I argue that an ineliminable risk that mind-uploading will fail makes it prudentially irrational for humans to undergo it.

There is a general dichotomy in popular culture on the future of robotics and artificial intelligence: the Humans-Against-the-Machines scenario versus the We-Become-Them scenario. The likely scenario is the latter, which is compatible with an optimistic posthuman world. However, the technological and cultural paths to robotic integration still have many problems and pitfalls. This essay focuses on Human Robot Interaction issues that apply to adoption of robots in many aspects of life as well as adoption of robotics into humans themselves. The (...) main message of the essay is that the evolution of intelligent species is dependent on interfaces. (shrink)

In Things That Make Us Smart, Donald A. Norman explores the complex interaction between human thought and the technology it creates, arguing for the development of machines that fit our minds, rather than minds that must conform to the machine.Humans have always worked with objects to extend our cognitive powers, from counting on our fingers to designing massive supercomputers. But advanced technology does more than merely assist with thought and memory—the machines we create begin to shape how we think and, (...) at times, even what we value. Norman, in exploring this complex relationship between humans and machines, gives us the first steps towards demanding a person-centered redesign of the machines that surround our lives. (shrink)

Dans la pensée d'un chercheur, il y a toujours du métaphysique, que Bachelard appela " impureté métaphysique ". Il s'agit selon lui " d'une métaphysique intuitive ". Il appela alors à la remplacer par une " métaphysique objectivement rectifiée ". En informatique, le métaphysique n'est plus intuitif, il a été objectivement rectifié. Mais il a plus, certaines applications informatiques, comme la réalité virtuelle ou les jeux électroniques, apportèrent une autre sorte de rectification, non pas à la métaphysique mais au limites (...) traditionnelles entre sujet et objet. (shrink)

Sensory augmentation challenges current societal norms and views of what is conceived as a “normal” human being. Beginning with self reflections of a bodyhacker, the author proposes an extended view onto the human or respectively cyborg body. Based on cognitive theories, it is argumented that we are already mental cyborgs. Our brains plastically restructure themselves in order to meet new requirements of the technological extended human.

How shall we have robots handle conditional statements? In this paper I argue that we absolutely cannot let them use several of the presently accepted rules of inference involving conditional statements if we want to avoid odd, preposterous, or even disastrous results. I discuss several kinds of problems that could be encountered and suggest alterations to certain rules of inference to prevent such problems from arising.

The advent of the cinema radically altered our comprehension of time, space, and reality. With his experience as a pioneering avant-garde filmmaker, Jean Epstein uses the universes created by the cinematograph to deconstruct our understanding of how time and space, reality and unreality, continuity and discontinuity, determinism and randomness function both inside and outside the cinema. Time, he says, should be regarded as the first, not the fourth, dimension—and the cinematograph allows us, for the first time, to manipulate it in (...) directions and speeds of our choosing. The theoretical work of Jean Epstein greatly influenced later generations of cinema philosophers, notably Gilles Deleuze and Jacques Rancière, but the bulk of his work remains unpublished. _The Intelligence of a Machine_, his first major title published in English, is one of the earliest philosophies of cinema. (shrink)