Discussions about naturalness, artificiality and unnaturalness in this article are motivated by the field of Human Cognitive Enhancement (HCE) because of its potential for altering human personality and identity. This article at first proposes a concept of human naturalness as interaction between physis and logos. Then it presents an intuitive understanding of naturalness in terms of the inherent inability of language to fully describe all attributes of an object that is natural. The analytical core of the article proposes a (...) formal model of naturalness utilising Vopenka's phenomenologically grounded Alternative Set Theory (AST), comprising and formalising the concept of natural infinity. A brief introduction to AST is presented as well. Naturalness and artificiality are modelled as two structurally different naturally infinite semisets within AST. This key structural difference is then analysed and applied back to the domain of HCE. (shrink)

We explore the psychological foundations of Logic and Artificial Intelligence, touching on representation, categorisation, heuristics, consciousness, and emotion. Specifically, we challenge Dennett's view of the brain as a syntactic engine that is limited to processing symbols according to their structural properties. We show that cognitive psychology and neurobiology support a dual-process model in which one form of cognition is essentially semantical and differs in important ways from the operation of a syntactic engine. The dual-process model illuminates two important events in (...) Logic and Artificial Intelligence, namely the emergence of non-monotonicity and of embodiment, events that changed the traditional paradigms of ‘Logic = the study of deductive inference' and ‘Symbolic AI'. S. Afr. J. Philos. Vol.24(2) 2005: 137-151. (shrink)

This book describes and explores six current approaches to the study of mind: the neuroscientific, the behavioral, the competence approach, the ecological, the phenomenological, and the computational. No other book in cognitive science covers such a broad range of research programs and topics in such a balanced fashion. The first chapter is a mini-history and philosophy of psychology which reviews some of the scientific developments and philosophical arguments behind these six different approaches. Each subsequent chapter presents work that is on (...) the frontiers of research in its field. (shrink)

Genetic regulatory networks are complex, involving tens or hundreds of genes and scores of proteins with varying dependencies and organizations. This invites the application of artificial techniques in coming to understand natural complexity. I describe two attempts to deploy artificial models in understanding natural complexity. The first abstracts from empirically established patterns, favoring random architectures and very general constraints, in an attempt to model developmental phenomena. The second incorporates detailed information concerning the genetic structure, organization, and dependencies in actual systems (...) in an attempt to explain developmental differences. The results offered by these models, pitched at these different levels of abstraction, are different. The more detailed models are more continuous with classical developmental approaches. (shrink)

Moving from a behavioral definition of intelligence, which describes it as the ability to adapt to the surrounding environment and deal effectively with new situations (Anastasi, 1986), this paper explains to what extent the performance obtained by ChatGPT in the linguistic domain can be considered as intelligent behavior and to what extent they cannot. It also explains in what sense the hypothesis of decoupling between cognitive and problem-solving abilities, proposed by Floridi (2017) and Floridi and Chiriatti (2020) should be interpreted. (...) The problem of symbolic grounding (Harnad, 1990) is then addressed to show the problematic relationship between ChatGPT and the natural environment, and thus the impossibility for it to understand the symbols it manipulates. To explain the reasons why ChatGPT does not succeed in this task, an investigation is carried out and a possible solution to the problem in the artificial domain is proposed by making a comparison with the natural ability of living beings to ground their own meanings from some basic cognitive-sensory aspects, which, it is explained, are directly related to the emergence of self-awareness in humans. Thus, the question is raised whether a possible and concrete solution to the Symbol Grounding Problem would involve in the artificial domain the development of cognitive abilities fully comparable to those of humans. Finally, I explain the difficulties that would have to be overcome before such a level could be reached, since human cognitive capacities are intimately linked to intersubjectivity and intercorporeality. (shrink)

I emphasize the difference between bioethics and sciences that are relevant to bioethics on the one hand and the lifeworld on the other hand, to which problems of bioethics apply. The difference between types of experience in the scientific realm and in the lifeworld is reflected by the different definitions of nature they tend to favor. Against this background, I will claim that the object domains of the natural and the artificial are indeed better separated in the context of (...) everyday perception than is commonly assumed in academic discourse. This capacity for differentiation in everyday contexts makes it possible to give weight to the positive connotations of naturalness used against technological interference in nature in the lifeworld discourse. I will start with some preliminary terminological and historical remarks. Then I will turn to possible scientific ways of separating the domains of the natural and the artificial. In everyday practice they usually can be neither reproduced nor understood. This situation has contributed to the need for an explanation of the moral appeal to naturalness that one encounters in the lifeworld. After a discussion of explanations that are given in the bioethical discourse, I will propose a lifeworld concept that allows for the use of a fundamental boundary between the natural and the artificial. (shrink)

I maintain that Leibniz's distinction between 'organic machines of nature' and the artificial machine that we produce cannot be adequately understood simply in terms of differing orders of structural complexity. It is not simply that natural machines, having been made by God, are infinitely more complex than the products of our own artifice. Instead, Leibniz's distinction is a thoroughly metaphysical one, having its root in his belief that every natural machine is a corporeal substance, the unity and identity conditions (...) of which derive ultimately from its substantial form. Natural machines are thus true unities, while artificial machines are mere aggregates of substances and are therefore only accidental unities. I briefly explore this connection between Leibniz's distinction between natural and artificial machines and his views about individuality. I conclude on a polemical note, in which it is suggested that these results undermine the currently popular view that Leibniz renounced corporeal substances toward the end of his life. (shrink)

This book is a collection of essays exploring adaptive systems from many perspectives, ranging from computational applications to models of adaptation in living and social systems. The essays on computation discuss history, theory, applications, and possible threats of adaptive and evolving computations systems. The modeling chapters cover topics such as evolution in microbial populations, the evolution of cooperation, and how ideas about evolution relate to economics. The title Perspectives on Adaptation in Natural and Artificial Systems honors John Holland, whose 1975 (...) Book, Adaptation in Natural and Artificial Systems has become a classic text for many disciplines in which adaptation play a central role. The essays brought together here were originally written to honor John Holland, and span most of the different areas touched by his wide-ranging and influential research career. The authors include some of the most prominent scientists in the fields of artificial intelligence evolutionary computation, and complex adaptive systems. Taken together, these essays present a broad modern picture of current research on adaptation as it relates to computers, living systems, society, and their complex interactions. (shrink)

The ArgumentThis article explores the relationship between Goethe's administration of the duchy of Saxe-Weimar-Eisenach and his investigation of nature. The notion of the budget was crucial to both enterprises. In Goethe's morphological and mining works, nature's budgets were a heuristic tool by which one could elucidate natural processes. Goethe applied his epistemological approach of investigating nature to the realm of social order. Law, order, balance, and budget formed the basis of Goethe's financial reform of the duchy. He (...) tried, unsuccessfully, to construct artificial budgets, which were intended to mirror natural budgets to guide his plans of reform. (shrink)

Cicero distinguishes between two forms of divination: natural and artificial divination. Most contemporary scholars assume that Cicero presents a Stoic division and some even draw far-reaching conclusions about the scientific status of divination based on this distinction. However, his justification for the division is apparently contradictory and neither fits with Stoic nor Peripatetic claims that are found elsewhere. This paper examines the exact meaning of the division and sheds light on its Stoic and Peripatetic origin. In this way, we will (...) not only be able to better understand the overall argument of Cicero’s De divinatione, but also to assess his real achievement as a philosophical author. (shrink)

(1997). Hume's motivational distinction between natural and artificial virtues. British Journal for the History of Philosophy: Vol. 5, No. 2, pp. 373-388.

I see in the nature of our minds and the character of our problem-solving methodologies a search for simplifying tools that will let us model a complex world and get away with it far more often than we might suppose. As it turns out, this broad a reach to mind and world is possible because both turn on common properties of evolved complex adaptive systems. These are in effect “design principles” for the architecture of nature—all of it, from (...) biological systems to ourselves and the technologies that we engineer.I explore how generative systems may, under some circumstances lead to adaptive radiations, and how the growth of complexity is entailed by their compositional embedding of prior systems, their stabilizing their features as architecture thru a process that I call generative entrenchment. I also explore how modularity has two forms: top-down modularity or “quasi-independence” in which evolving systems require the possibility of changing parts of the system without scrambling the organization of the rest, and bottom-up modularity in which a stable alphabet of standardized parts can be combined in various ways to generate an adaptive radiation of diverse systems to accomplish different things. (shrink)

Despite the recent upsurge of interest in the investigation of creativity, the question of how to measure creativity is arguably underdiscussed. The aim of this paper is to address this gap, proposing a multidimensional account of creativity which identifies problem-solving, evaluation, and naivety as measurable features that are common among creative processes. The benefits that result from the adoption of this model are twofold: integrating discussions on creativity in various domains and offering the tools to assess creativity across systems of (...) different kinds. By situating creativity within this framework, I aim to contribute to a non-anthropocentric, more comprehensive understanding of the notion, and to debates on natural and artificial creativity. (shrink)

To be intrinsically valuable means to be valuable for its own sake. Moral philosophy is often ethically anthropocentric, meaning that it locates intrinsic value within humans. This paper rejects ethical anthropocentrism and asks, in what ways might nonhumans be intrinsically valuable? The paper answers this question with a wide-ranging survey of theories of nonhuman intrinsic value. The survey includes both moral subjects and moral objects, and both natural and artificial nonhumans. Literatures from environmental ethics, philosophy of technology, philosophy of art, (...) moral psychology, and related fields are reviewed, and gaps in these literatures are identified. Although the gaps are significant and much work remains to be done, the survey nonetheless demonstrates that those who reject ethical anthropocentrism have considerable resources available to develop their moral views. Given the many very high-stakes issues involving both natural and artificial nonhumans, and the sensitivity of these issues to how nonhumans are intrinsically valued, this is a vital project to pursue. (shrink)

In our daily lives, we need to predict and understand others’ behavior in order to navigate through our social environment. Predictions concerning other humans’ behavior usually refer to their mental states, such as beliefs or intentions. Such a predictive strategy is called ‘adoption of the intentional stance.’ In this paper, we review literature related to the concept of intentional stance from the perspectives of philosophy, psychology, human development, culture, and human-robot interaction. We propose that adopting the intentional stance might be (...) a pivotal factor in facilitating social attunement with artificial agents. The paper first reviews the theoretical considerations regarding the intentional stance and examines literature related to the development of the intentional stance across life span. Subsequently, we discuss cultural norms as grounded in the intentional stance, and finally, we focus on the issue of adopting the intentional stance toward artificial agents, such as humanoid robots. At the dawn of the artificial intelligence era, the question of how – and also when – we predict and explain robots’ behavior by referring to mental states is of high interest. The paper concludes with a discussion on ethical consequences of adopting the intentional stance toward robots, and sketches future directions in research on this topic. (shrink)

ArgumentEarly modern Europeans routinely compared nature to a theater or spectacle, so it makes sense to examine the practices of observing real spectacles and performances in order to better comprehend acts of witnessing nature. Using examples from the history of fireworks, this essay explores acts of observing natural and artificial spectacles between the sixteenth and late eighteenth centuries and suggests these acts of observation were mutually constitutive and entailed ongoing and diverse exchanges. The essay follows the changing ways (...) in which audiences were imagined or expected to react to fireworks and shows how these also shaped experiences of natural phenomena. Both natural and artificial spectacles were intended to teach morals about the state and nature, yet audiences rarely seemed to take away what they were expected to learn. The essay examines how performers thus sought to discipline audience observation, before exploring, in conclusion, how spectacle provided a vocabulary for discerning and articulating new natural phenomena, and sites for the pursuit of novel experiments. (shrink)

This book brings together philosophical approaches to cooperation and collective agency with research into human-machine interaction and cooperation from engineering, robotics, computer science and AI. Bringing these so far largely unrelated fields of study together leads to a better understanding of collective agency in natural and artificial systems and will help to improve the design and performance of hybrid systems involving human and artificial agents. Modeling collective agency with the help of computer simulations promises also philosophical insights into the emergence (...) of collective agency. The volume consists of four sections. The first section is dedicated to the concept of agency. The second section of the book turns to human-machine cooperation. The focus of the third section is the transition from cooperation to collective agency. The last section concerns the explanatory value of social simulations of collective agency in the broader framework of cultural evolution. (shrink)

Recent work in the cognitive sciences has argued that beliefs sometimes acquire signaling functions in virtue of their ability to reveal information that manipulates “mindreaders.” This paper sketches some of the evolutionary and design considerations that could take agents from solipsistic goal pursuit to beliefs that serve as social signals. Such beliefs will be governed by norms besides just the traditional norms of epistemology. As agents become better at detecting the agency of others, either through evolutionary history or individual learning, (...) the candidate pool for signaling expands. This logic holds for natural and artificial agents that find themselves in recurring social situations that reward the sharing of one’s thoughts. (shrink)

Abstract Environmental and public health-focused sciences are increasingly characterised as constituting an emerging discipline—planetary medicine. From a governance perspective, the ethical components of that discipline may usefully be viewed as bestowing upon our ailing natural environment the symbolic moral status of a patient. Such components emphasise, for example, the origins and content of professional and social virtues and related ethical principles needed to promote global governance systems and policies that reduce ecological stresses and pathologies derived from human overpopulation, selfishness and (...) greed—such as pollution, loss of biodiversity, deforestation and greenhouse gas emissions, as well as provide necessary energy, water and food security. Less well explored in this context, however, is the ethics that should underpin global use of emerging technologies such as nanotechnology as forms of planetary therapeutics. Nanotechnology may be particularly important, for instance, as a mechanism for improving upon photosynthesis and engineering it into human structures for localised production of carbon-neutral hydrogen based-fuel and carbohydrate-based food and fertilizer. Artificial photosynthesis, because of its unique and widespread public and environmental benefits in this period of human history, may even be termed the moral culmination of nanotechnology, assisting this planet to move beyond the Anthropocene epoch to that of the Sustainocene. This paper explores practical steps towards planetary nanomedicine involving governance of artificial photosynthesis, including a UNESCO Universal Declaration on the Bioethics and Human Rights of Natural and Artificial Photosynthesis (Global Solar Fuels and Foods ). Content Type Journal Article Category Original Paper Pages 1-13 DOI 10.1007/s11569-012-0144-4 Authors Thomas Faunce, College of Medicine, Biology and the Environment and College of Law (joint Appointment), Australian National University, Acton, Australia Journal NanoEthics Online ISSN 1871-4765 Print ISSN 1871-4757. (shrink)

This book explores the artificial by examining transformations in the Aristotelian metaphysical understanding of the relationship between nature and techne, which leads to the “operative imperative” in early modernity. With this a reversal takes place, whereby instead of nature being model for techne as it is for Aristotle and Aquinas, techne becomes the model for nature.

The emerging neurocomputational vision of humans as embodied, ecologically embedded, social agents—who shape and are shaped by their environment—offers a golden opportunity to revisit and revise ideas about the physical and information-theoretic underpinnings of life, mind, and consciousness itself. In particular, the active inference framework makes it possible to bridge connections from computational neuroscience and robotics/AI to ecological psychology and phenomenology, revealing common underpinnings and overcoming key limitations. AIF opposes the mechanistic to the reductive, while staying fully grounded in a (...) naturalistic and information-theoretic foundation, using the principle of free energy minimization. The latter provides a theoretical basis for a unified treatment of particles, organisms, and interactive machines, spanning from the inorganic to organic, non-life to life, and natural to artificial agents. We provide a brief introduction to AIF, then explore its implications for evolutionary theory, ecological psychology, embodied phenomenology, and robotics/AI research. We conclude the paper by considering implications for machine consciousness. (shrink)

The spontaneity of natural life is the only property which differs this type of life from artificial life. However, it may be the main basis to understand life. Artificial life is constructed by living beings; it is a part of the natural life process, and its properties are not an effect of its own restrictions but of external assumptions. Therefore the investigation of artificial life is not a safe way of searching for basic properties of natural life. The purposefulness appears (...) only in the area of a life process. We generalize the notion of information and encoding to apply them to the physical phenomena description. We use them to define the purposeful information—its example is a biological information, its quantity is an Eigen’s information value. Next we investigate properties of the spontaneous process of purposeful information collecting. In effect we get such properties of this process as: a goal “to exist”, reproduction and the Darwinian mechanism of randomchangeability and elimination. In this process a natural identity criterion of the evolving object connected with the “small change tendency” appears. (shrink)

Novel varieties of interplay between humans, robots and software agents are on the rise. Computer-based artefacts are no longer mere tools but have become interaction partners. Distributed problem solving and social agency may be modelled by social computing systems based on multi-agent systems. MAS and agent-based modelling approaches focus on the simulation of complex interactions and relationships of human and/or non-human agents. MAS may be deployed both in virtual environments and cyber-physical systems. With regard to their impact on the physical (...) environment, such systems possess a virtual actuality in a testbed. They have a real actuality when they are employed in real time in order to govern processes in the natural world. Constellations of inter-agency and distributed agency materialize. This paper presents a multidimensional, gradual classification framework for individual and joint agency. Activity level, adaptivity, interaction and personification of others are essential dimensions. The framework allows constellations of distributed and collective agency in socio-technical systems to be analysed in detail. Scenarios where solely humans act can be compared to testbed simulations based on this classification scheme. (shrink)

It may be of interest to see what can be done by giving a robot no innate knowledge about its environment or its sensors or effectors and only a totally general learning mechanism, such as reinforcement learning, or some information-reduction algorithm, to see what it can learn in various environments. However, it is clear that that is not how biological evolution designs animals, as McCarthy states.

Recent research into the nature of self in artificial and biological systems raises interest in a uniquely determining immutable sense of self, a “metaphysical ‘I’” associated with inviolable personal values and moral convictions that remain constant in the face of environmental change, distinguished from an object “me” that changes with its environment. Complementary research portrays processes associated with self as multimodal routines selectively enacted on the basis of contextual cues informing predictive self or world models, with the notion of (...) the constant, per-vasive and invariant sense of self associated with a multistable attractor set aiming to ensure personal integrity against threat of disintegrative change. This paper proposes that an immutable sense of self emerges as a global attractor which can be described as a project ideal self-situation embodied in frontal medial processes during more or less normal adolescent development, and that thereafter serves to orient agency in the more or less free development of embodied potentials over the life course in effort to realize project conditions, phenomenally identified with the felt pull towards this end as purpose of and source of meaning in life. So oriented, life-long self-development aims to embody solutions to problems at different timescales depending on this embodied purpose, ultimately in the service of evolutionary processes securing organism populations against threats of disintegrative change over timespans far beyond that of the individual. After characterizing the target sense of self, research circling this target is briefly surveyed. Self as global project and developmental neural correlates are proposed. Then, the paper discusses some implications for research in biological and artificial systems. Building from earlier work in cognitive neurorobotics, discussion affirms the value of reinforcement rituals including prayer in metaphysical self-development, considers implications for value alignment and rights associated with free will in the context of artificial intelligence and robot religion, and concludes by emphasizing the importance of self-development toward project ideals as source of meaning in life in the current social-political environment. (shrink)

Artificial Intelligence has become big business in the military and in many industries. In spite of this growth there still remains no consensus about what AI really is. The major factor which seems to be responsible for this is the lack of agreement about the relationship between behavior and intelligence. In part certain ethical concerns generated from saying who, what and how intelligence is determined may be facilitating this lack of agreement.

It would be difficult to name a more interesting scientific problem than that of knowledge of the brain, its overall mechanisms and its molecular nature. Rational management of the brain in the future and utilization of the principles of its functioning to construct various mechanisms to undergird present-day technological progress should follow as direct consequences of development of that sphere of knowledge.

The value alignment problem for artificial intelligence (AI) asks how we can ensure that the “values”—i.e., objective functions—of artificial systems are aligned with the values of humanity. In this paper, I argue that linguistic communication is a necessary condition for robust value alignment. I discuss the consequences that the truth of this claim would have for research programmes that attempt to ensure value alignment for AI systems—or, more loftily, those programmes that seek to design robustly beneficial or ethical artificial agents.

Cyberfeminism and Artificial Life examines construction, manipulation and re-definition of life in contemporary technoscientific culture. It takes a critical political view of the concept of life as information, tracing this through the new biology and the changing discipline of artificial life and its manifestation in art, language, literature, commerce and entertainment. From cloning to computer games, and incorporating an analysis of hardware, software and 'wetware', Sarah Kember demonstrates how this relatively marginal field connects with, and connects up global networks of (...) information systems. As well as offering suggestions for the evolution of [cyber]feminism in Alife environments, the author identifies the emergence of posthumanism; an ethics of the posthuman subject mobilized in the tension between cold war and post-cold war politics, psychological and biological machines, centralized and de-centralized control, top-down and bottom-up processing, autonomous and autopoietic organisms, cloning and transgenesis, species-self and other species. Ultimately, this book aims to re-focus concern on the ethics rather than on the 'nature' of life-as-it-could-be. (shrink)