The unique compendium re-assesses the value of future and emergent computing technologies via artistic and philosophical means. The book encourages scientists to adopt inspiring thinking of artists and philosophers to reuse scientific concepts in their works.The useful reference text consists of non-typical topics, where artistic and philosophical concepts encourage readers to adopt unconventional approaches towards computing and immerse themselves into discoveries of future emerging landscape.

We show that in Kabbalah, the esoteric teaching of Judaism, there were developed ideas of unconventional automata in which operations over characters of the Hebrew alphabet can simulate all real processes producing appropriate strings in accordance with some algorithms. These ideas may be used now in a syllogistic extension of Lindenmayer systems, where we deal also with strings in the Kabbalistic-Leibnizean meaning. This extension is illustrated by the behavior of Physarum polycephalum plasmodia which can implement, first, the Aristotelian syllogistic (...) and, second, a Talmudic syllogistic by qal wa-homer. (shrink)

This text presents the research field of natural/unconventional computing as it appears in the book COMPUTING NATURE. The articles discussed consist a selection of works from the Symposium on Natural Computing at AISB-IACAP (British Society for the Study of Artificial Intelligence and the Simulation of Behaviour and The International Association for Computing and Philosophy) World Congress 2012, held at the University of Birmingham, celebrating Turing centenary. The COMPUTING NATURE is about nature considered as the totality of physical existence, the (...) universe. By physical we mean all phenomena, objects and processes, that are possible to detect either directly by our senses or via instruments. Historically, there have been many ways of describing the universe (cosmic egg, cosmic tree, theistic universe, mechanistic universe) while a particularly prominent contemporary approach is computational universe, as discussed in this article. See more: http://arxiv.org/abs/1210.7784. (shrink)

An astonishingly diverse biomolecular circuitry orchestrates the functioning machinery underlying every living cell. These biomolecules and their circuits have been engineered not only for various industrial applications but also to perform other atypical functions that they were not evolved for—including computation. Various kinds of computational challenges, such as solving NP‐complete problems with many variables, logical computation, neural network operations, and cryptography, have all been attempted through this unconventional computing paradigm. In this review, we highlight key experiments across (...) three different ‘‘eras’’ of molecular computation, beginning with molecular solutions, transitioning to logic circuits and ultimately, more complex molecular networks. We also discuss a variety of applications of molecular computation, from solving NP‐hard problems to self‐assembled nanostructures for delivering molecules, and provide a glimpse into the exciting potential that molecular computing holds for the future. Also see the video abstract here: https://youtu.be/9Mw0K0vCSQw. (shrink)

Eco-cognitive computationalism considers computation in context, following some of the main tenets advanced by the recent cognitive science views on embodied, situated, and distributed cognition. It is in the framework of this eco-cognitive perspective that we can usefully analyze the recent attention in computer science devoted to the importance of the simplification of cognitive and motor tasks caused in organic entities by the morphological features: ignorant bodies can be domesticated to become useful “mimetic bodies”, that is able to render (...) an intertwined computation simpler, resorting to that “simplexity” of animal embodied cognition, which represents one of the main quality of organic agents. Through eco-cognitive computationalism we can clearly acknowledge that the concept of computation changes, depending on historical and contextual causes, and we can build an epistemological view that illustrates the “emergence” of new kinds of computations, such as the one regarding morphological computation. This new perspective shows how the computational domestication of ignorant entities can originate new unconventional cognitive embodiments. In the last part of the article I will introduce the concept of overcomputationalism, showing that my proposed framework helps us see the related concepts of pancognitivism, paniformationalism, and pancomputationalism in a more naturalized and prudent perspective, avoiding the excess of old-fashioned ontological or metaphysical overstatements. (shrink)

An effective method is a computational method that might, in principle, be executed by a human. In this paper, I argue that there are methods for computing that are not effective methods. The examples I consider are taken primarily from quantum computing, but these are only meant to be illustrative of a much wider class. Quantum inference and quantum parallelism involve steps that might be implemented in multiple physical systems, but cannot be implemented, or at least not at will, by (...) an idealised human. Recognising that not all computational methods are effective methods is important for at least two reasons. First, it is needed to correctly state the results of Turing and other founders of computation theory. Turing is sometimes said to have offered a replacement for the informal notion of an effective method with the formal notion of a Turing machine. I argue that such a view only holds under limited circumstances. Second, not distinguishing between computational methods and effective methods can lead to mistakes when quantifying over the class of all possible computational methods. Such quantification is common in philosophy of mind in the context of thought experiments that explore the limits of computational functionalism. I argue that these ‘homuncular’ thought experiments should not be treated as valid. (shrink)

Recently, Horsman et al. have proposed a new framework, Abstraction/Representation theory, for understanding and evaluating claims about unconventional or non-standard computation. Among its attractive features, the theory in particular implies a novel account of what is means to be a computer. After expounding on this account, I compare it with other accounts of concrete computation, finding that it does not quite fit in the standard categorization: while it is most similar to some semantic accounts, it is not (...) itself a semantic account. Then I evaluate it according to the six desiderata for accounts of concrete computation proposed by Piccinini. Finding that it does not clearly satisfy some of them, I propose a modification, which I call Agential AR theory, that does, yielding an account that could be a serious competitor to other leading account of concrete computation. (shrink)

Machine learning systems (MLS) that model low-level processes are the cornerstones of current AI systems. These ‘indirect’ learners are good at classifying kinds that are distinguished solely by their manifest physical properties. But the more a kind is a function of spatio-temporally extended properties — words, situation-types, social norms — the less likely an MLS will be able to track it. Systems that can interact with objects at the individual level, on the other hand, and that can sustain this interaction, (...) can learn responses to increasingly abstract properties, including representational ones. This representational capacity, arguably the mark of intelligence, then, is not available to current MLS’s. (shrink)

Digital technologies are significantly changing the way our bodies constitute, or make sense of, the world around us. This article explores the impact of a largely unexplored generation of nature-inspired digital technolo­gies on bodily constitution. After explaining the scientific background, namely the unconventional field of computer science known as natural computing, the article analyzes a case study of related digital innovation. The selected case concerns biomimetic artificial organs that restore and often enhance the visual experience of non-congenital blind people. (...) Genetic phenomenology provides the conceptual framework for the analysis of the case study. The genetic phenomenological approach taken in this article is presented in the context of current phenomenological and postphenomenological research on human-robot interaction and human-machine hybrid intentionality. (shrink)

We present a simple example that disproves the universality principle. Unlike previous counter-examples to computational universality, it does not rely on extraneous phenomena, such as the availability of input variables that are time varying, computational complexity that changes with time or order of execution, physical variables that interact with each other, uncertain deadlines, or mathematical conditions among the variables that must be obeyed throughout the computation. In the most basic case of the new example, all that is used is (...) a single pre-existing global variable whose value is modified by the computation itself. In addition, our example offers a new dimension for separating the computable from the uncomputable, while illustrating the power of parallelism in computation. (shrink)

In this paper we analyze methodological and philosophical implications of algorithmic aspects of unconventional computation. At first, we describe how the classical algorithmic universe developed and analyze why it became closed in the conventional approach to computation. Then we explain how new models of algorithms turned the classical closed algorithmic universe into the open world of algorithmic constellations, allowing higher flexibility and expressive power, supporting constructivism and creativity in mathematical modeling. As Goedels undecidability theorems demonstrate, the closed (...) algorithmic universe restricts essential forms of mathematical cognition. In contrast, the open algorithmic universe, and even more the open world of algorithmic constellations, remove such restrictions and enable new, richer understanding of computation. (shrink)

Creativity is the hallmark of human cognition, yet scientific understanding of creative processes is limited. However, there is increasing interest in revealing the neural correlates of human creativity. Though many of these studies, pioneering in nature, help demystification of creativity, but the field is still dominated by popular beliefs in associating creativity with "right brain thinking", "divergent thinking", "altered states" and so on (Dietrich and Kanso, 2010). In this article, we discuss a computational framework for creativity based on Baars' global (...) workspace theory (Baars, 1988) enhanced with mechanisms based on information theory. Next we propose a neurocognitive architecture of creativity with a strong focus on various facets (i.e., unconscious thought theory, mind wandering, spontaneous brain states) of un/pre-conscious brain responses. Our principal argument is that pre-conscious creativity happens prior to conscious creativity happens prior to conscious creativity and the proposed computational model may provide a mechanism by which this transition is managed. This integrative approach, albeit unconventional, will hopefully stimulate future neuroscientific studies of the inscrutable phenomenon of creativity. (shrink)

In this article I will address the issue of the embodiment of computing systems from the point of view distinctive of the so-called Unconventional Computation, focusing on the paradigm known as Morphological Computation. As a first step, I will contextualize Morphological Computation within the disciplinary field of Embodied Artificial Intelligence: broadly conceived, Embodied Artificial Intelligence may be characterized as embracing both conventional and unconventional approaches to the artificial emulation of natural intelligence. Morphological Computation stands (...) out from other paradigms of unconventional Embodied Artificial Intelligence in that it discloses a new, closer kind of connection between embodiment and computation. I will further my investigation by briefly reviewing the state-of-the-art in Morphological Computation: attention will be given to a very recent trend, whose core concept is that of “organic reconfigurability”. In this direction, as a final step, two advanced cases of study of organic or living morphological computers will be presented and discussed. The prospect is to shed some light on our title question: what progress has been made in understanding the embodiment of computing systems? (shrink)

In this Short Communication we will discuss the role played by quantum computing within the emerging morphological paradigm in the unconventional natural computing. We intend merely introduce the main reasons why a coherent representation of Universality in morphological natural computing needs to be grounded on a version of Quantum Field Theory independent, in many senses, from the Quantum Mechanics formalism in fundamental physics, namely formulated as a thermal field theory. This theory describes the “emergence” of natural information and (...) class='Hi'>computation’s complexity at a quantum level, thus overcoming the trivializing argument against the so-called “pancomputationalism” in morphological natural computing. (shrink)

Riassunto: Può la corporalità dirsi ancora una condizione costitutiva dell’esperienza nella presente era digitale? Esistono due fondamentali modi di affrontare la questione, la cui rilevanza è stata di recente sottolineata da ricercatori attivi nei campi dell’ Intelligenza Artificiale Incorporata. Il primo interpreta la questione come incentrata su un’indagine della relazione fra corporalità e digitalizzazione, il processo cioè di digitalizzare dati il quale rende possibile simulare, aumentare e perfino costruire la realtà all’interno di uno spazio di esperienza virtuale, assumendo l’idea tradizionale (...) del computing come un’attività che utilizza dispositivi artificiali, elettronici, per processare, gestire e comunicare informazioni. Il secondo considera la stessa relazione da una diversa prospettiva, facendo cioè riferimento al computing come a un’attività naturale, secondo l’emergente ricerca di computing naturale condotta nel campo del computing non convenzionale. Seguendo quest’ultima prospettiva, che sta acquisendo un crescente consenso all’interno della comunità scientifica, il lavoro indagherà il ruolo costitutivo della corporalità rispetto all’esperienza virtuale associata a una nota ed oramai autonoma area di ricerca del computing naturale, vale a dire il computing morfologico, utilizzando il metodo della fenomenologia genetica. Parole chiave: Computing naturale e computing artificiale; Corporeità; Morfologia naturale e morfologia artificiale; Fenomenologia genetica Lived Body and Virtual experience. A Phenomenological Perspective: In what sense can corporality still be considered a constitutive condition for experience in the current digital age? Recent scholarship in the fields of Embodied Artificial Intelligence and the philosophy of Embodied Artificial Intelligence has probed the relevance of two approaches to this question. The first queries the relationship between corporality and digitization, i.e., examining how it is possible to simulate, augment, and even construct reality within a space of virtual experience by digitizing data. This approach builds on the traditional idea of computing as an activity that uses artificial, mostly electronic, devices to process, manage, and communicate information. The second approach, increasingly favored by computer scientists, considers computing to be a natural activity, and approaches this same relationship from the perspective of emerging research in unconventional computing, specifically Natural Computing. This paper follows the latter approach, addressing the constitutive role of corporality in virtual experience associated with a well-known and still autonomous research area within Natural Computing, that is, Morphological Computing, from the from the point of view of genetic phenomenology. Keywords: Artificial and Natural Computing; Corporality; Natural and Artificial Morphology; Genetic Phenomenology. (shrink)

The slime mould Physarum polycephalum has been used in developing unconventional computing devices for in which the slime mould played a role of a sensing, actuating, and computing device. These devices treated the slime mould as an active living substrate, yet it is a self-consistent living creature which evolved over millions of years and occupied most parts of the world, but in any case, that living entity did not own true cognition, just automated biochemical mechanisms. To “rehabilitate” slime mould (...) from the rank of a purely living electronics element to a “creature of thoughts” we are analyzing the cognitive potential of P. polycephalum. We base our theory of minimal cognition of the slime mould on a bottom-up approach, from the biological and biophysical nature of the slime mould and its regulatory systems using frameworks such as Lyon’s biogenic cognition, Muller, di Primio-Lengelerś modifiable pathways, Bateson's “patterns that connect” framework, Maturana's autopoietic network, or proto-consciousness and Morgan's Canon. (shrink)

Eco-cognitive computationalism explores computing in context, adhering to some of the key ideas presented by modern cognitive science perspectives on embodied, situated, and distributed cognition. First of all, when physical computation is seen from the perspective of the ecology of cognition it is possible to clearly understand the role Turing assigned to the process of “education” of the machine, paralleling it to the education of human brains, in the invention of the Logical Universal Machine. It is this Turing’s emphasis (...) on education that furnishes the justification of the conceptualization of machines as “domesticated ignorant entities”, that is proposed in this article. I will show that conceptualizing machines as dynamically active in distributed physical entities of various kinds suitably transformed so that data can be encoded and decoded to obtain appropriate results sheds further light on my eco-cognitive perspective. Furthermore, it is within this intellectual framework that I will usefully analyze the recent attention in computer science devoted to the importance of the simplification of cognitive and motor tasks caused in organic entities thanks to morphological features: ignorant bodies can be computationally domesticated to make an intertwined computation simpler, relying on the “simplexity” of animal embodied cognition, which represents one of the main qualities of organic agents. Finally, eco-cognitive computationalism allows us to clearly acknowledge that the concept of computation evolves over time as a result of historical and contextual factors, and we can construct an epistemological view that depicts the “emergence” of new types of computations that exploit new substrates. This new viewpoint demonstrates how the computational domestication of ignorant entities might result in the emergence of novel unconventional cognitive embodiments. (shrink)

I will analyse three fundamental ways of governing ignorance though abduction, which are essential from an eco-cognitive and eco-logical point of view, in which the central role in human cognition of natural and artefactual environment is taken into account. First of all, according to the so-called GW-schema, proposed by Gabbay and Woods, abduction presents an ignorance-preserving or (ignorance-mitigating) character: given the fact that the abduced hypotheses aim at becoming truths, the basic ignorance is neither solved nor left untouched. Second, I (...) will contend that abduction is not always ignorance preserving but also knowledge enhancing. Indeed, according to the eco-cognitive model of abduction, I myself have recently proposed, we can easily see that, occasionally, knowledge can be immediately increased (and ignorance ‘killed’) through abduction: in this perspective, abduction does not have to be rigidly conceptualized as an inference to the best explanation in the received sense, which is as an inference that, to grant truth, also takes advantage of an empirical evaluation phase or an inductive phase, as Peirce classified it. Finally, it is important to stress that abductive cognition is at the roots of two fundamental cognitive processes. On one side, abductive cognition constructs (and/or takes advantage of the exploitation of) embodiments, external representations, enactions, artefacts and props, which involve ignorant entities suitably transformed in cognitive representations and/or devices. On the other side, abductive cognition dominates those ‘special’ cognitive creative processes that lead to what I call the disseminated ‘computational domestication of ignorant entities’: I will illustrate the example of the recent unconventional computational domestication of ignorant entities, which creates novel cognitive embodiments (morphological computation). (shrink)

In this paper we consider possibilities for applying p-adic valued logic BL to the task of designing an unconventional computer based on the medium of slime mould, the giant amoebozoa that looks for attractants and reaches them by means of propagating complex networks. If it is assumed that at any time step t of propagation the slime mould can discover and reach not more than attractants, then this behaviour can be coded in terms of p-adic numbers. As a result, (...) this behaviour implements some p-adic valued arithmetic circuits and can verify p-adic valued logical propositions. (shrink)

As cognitive neuroscience has advanced, the list of prospective internal, biological enhancements has steadily expanded. Education and training, as well as the use of external information‐processing devices, may be labeled as “conventional” means of cognition enhancement (CE). They are often well established and culturally accepted. By contrast, methods of enhancing cognition through “unconventional” means, such as ones involving deliberately created nootropic drugs, gene therapy, or neural implants, are nearly all to be regarded as experimental at the present time. Transcranial (...) magnetic stimulation (TMS), genetic interventions, brain‐computer interfaces and new senses are highly experimental and unlikely to be important over the next 15 years. Many of the concerns about enhancement are nonspecific to the tools used to achieve it, which means that enhancement–ethic scrutiny should also apply to nonbiological external enhancements. (shrink)

What is a computer? What distinguishes computers from other artificial or natural systems with alleged computational capacities? What does use of a physical system for computation entail, and what distinguishes such use from otherwise identical transformation of that same system when it is not so used? This paper addresses such questions through a theory of information processing artifacts, the class of technical artifacts with physical capacities that enable agents to use them as means to their computational ends. Function ascription, (...) use plan requirements, malfunction, and efficacy of IPAs are all addressed in this theory, with emphasis on artifacts that can be used—reliably or otherwise—for digital computation. By explicitly distinguishing physically grounded computational capacities from user-ascribed computational functions, and by recognizing the distinct roles of each for the implementation of computations in artifacts, this theory clearly distinguishes the use of physical systems for computation from the transformations of physical system states that enable such use. As such, it provides a rigorous basis for distinguishing “computers” from other artificial and natural systems—a distinction whose nature and legitimacy faces ever-evolving challenges from multiple disciplines. This theory, and the associated “instrumental” view of computation in artifacts, naturally accommodates the openminded but scrupulous consideration of radically unconventional physical systems as potential substrates for future computers. (shrink)

The paper considers main features of two groups of logics for biological devices, called Physarum Chips, based on the plasmodium. Let us recall that the plasmodium is a single cell with many diploid nuclei. It propagates networks by growing pseudopodia to connect scattered nutrients. As a result, we deal with a kind of computing. The first group of logics for Physarum Chips formalizes the plasmodium behaviour under conditions of nutrient-poor substrate. This group can be defined as standard storage modification machines. (...) The second group of logics for Physarum Chips covers the plasmodium computing under conditions of nutrient-rich substrate. In this case the plasmodium behaves in a massively parallel manner and propagates in all possible directions. The logics of the second group are unconventional and deal with non-well-founded data such as infinite streams. (shrink)

Making proper decisions in today’s complex world is a challenging task for decision makers. A promising approach that can support decision makers to have a better understanding of complex systems is agent-based modeling. ABM has been developing during the last few decades as a methodology with many different applications and has enabled a better description of the dynamics of complex systems. However, the prescriptive facet of these applications is rarely portrayed. Adding a prescriptive decision-making aspect to ABM can support the (...) decision makers in making better or, in some cases, optimized decisions for the complex problems as well as explaining the investigated phenomena. In this paper, first, the literature of DM with ABM is inquired and classified based on the methods of integration. Performing a scientometric analysis on the relevant literature lets us conclude that the number of publications attempting to integrate DM and ABM has not grown during the last two decades, while analysis of the current methodologies for integrating DM and ABM indicates that they have serious drawbacks. In this regard, a novel nature-inspired model articulation called optimal agent framework has been proposed to ameliorate the disadvantages and enhance the realization of proper decisions in ABM at a relatively low computational cost. The framework is examined with the Bass diffusion model. The results of the simulation for the customized model developed by OAF have verified the feasibility of the framework. Moreover, sensitivity analyses on different agent populations, network structures, and marketing strategies have depicted the great potential of OAF to find the optimal strategies in various stochastic and unconventional conditions which have not been addressed prior to the implementation of the framework. (shrink)

“The ‘fallacy of composition’ that drives a felicitous wedge between micro and macro, between the individual and the aggregate, and gives rise to emergent phenomena in economics, non-algorithmic ways – as conjectured originally by John Stuart Mill…, George Herbert Lewes … , and codified by Lloyd Morgan … in his popular Gifford Lectures - may yet be tamed by unconventional models of computation.” --K. Vela Velupillai (2008, p. 21).

The focus here is on the neglected, simply accepted, quotidian world, rather than the much-discussed consciousness. Contra common sense and science both, any actual independent external world out there is here denied. World is conceived instead as a _continual creation_ on the part of each quantum thermofield brain in parallel, which is “triply-tuned”: by sensory input, by memory and by self-tuning. Such a brain does not primarily process information—does not compute—but through its multiple tunability achieves an internal match in which (...) a world is disclosed, even though there is no world out there, only objects under quantum description at microscopic, mesoscopic and macroscopic scales. This unconventional formulation revives a version of monadology via quantum brain theory. ER -. (shrink)

This paper discusses Hubert Haider’s target-article “Grammar change: A case of Darwinian cognitive evolution”. I show why such an article is fascinating (and unconventional), although I will mainly concentrate on several disagreements with Haider and will suggest alternative views to those contended by this scholar. My discussion will highlight five main issues: (1) Haider assumes a purely Neo-Darwinian (i.e. genocentric) view of evolution and inheritance, lacking a more pluralistic approach; (2) Haider rejects the idea of language as a biological (...) phenomenon, while at the same time he seems to assume several characteristics related to a biologically seated trait; (3) as opposed to Haider’s suggestion, the computational system does not need to be language-specific; (4) Haider’s divide between the procedural and declarative components of grammar is perhaps too strict regarding (grammatical) change; and (5) Haider considers that there is no scientific way of deciding the question of language origins and evolution and that complex grammars are too recent. However, I show that a language-like computational power (and perhaps complex grammars) already existed many thousands of years ago. (shrink)

Complex organisms thwart the simple rectilinear causality paradigm of “necessary and sufficient,” with its experimental strategy of “knock down and overexpress.” This Essay organizes the eccentricities of biology into four categories that call for new mathematical approaches; recaps for the biologist the philosopher's recent refinements to the causation concept and the mathematician's computational tools that handle some but not all of the biological eccentricities; and describes overlooked insights that make causal properties of physical hierarchies such as emergence and downward causation (...) straightforward. Reviewing and extrapolating from similar situations in physics, it is suggested that new mathematical tools for causation analysis incorporating feedback, signal cancellation, nonlinear dependencies, physical hierarchies, and fixed constraints rather than instigative changes will reveal unconventional biological behaviors. These include “eigenisms,” organisms that are limited to quantized states; trajectories that steer a system such as an evolving species toward optimal states; and medical control via distributed “sheets” rather than single control points. (shrink)

Spiritual naturalists say that spirit is a natural force. Far from being novel or unconventional, spiritual naturalism spans the entire history of Western thought, from the Stoics, through leading modern thinkers, to the transhumanists. Spirit drives the self-organization of matter. The spirituality of any thing is just its degree of self-organization, which is its evolved complexity. But self-organization is self-regulation and self-control. Many spiritual naturalists, especially the transhumanists, have developed naturalistic phenomenologies of spirit. These are narratives which trace the (...) ideal evolution of complexity from the origin of our universe to its end. They are spiritually optimal possible histories of our universe. During the phases of any spiritually optimal history, humanity will perfect itself. But transhumanists say that the ideal evolution of complexity will greatly surpass humans. We will be surpassed by superhuman animals; but these will be surpassed by superhuman robots and godlike computers. The ideal end of the cosmos is an Omega Point with infinite spirituality. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Karen J. Warren:Her Work in The Making of EcofeminismTricia Glazebrook (bio)Karen J. Warren was born on Long Island, New York, on September 10, 1947. She received a Bachelor of Arts degree from the University of Minnesota in 1970, and a Master's degree (1974) and Doctorate (1978) from the University of Massachusetts—Amherst. Her dissertation was one of the first on environmental ethics. In the early years of her career, she (...) taught at St. Olaf College in Northfield Minnesota, until 1985 when she joined the Philosophy department at Macalester College in St. Paul, Minnesota. In 1995, she was the second Ecofeminist Scholar-in-Residence at Murdoch University in Australia. In 2002, she was a Round Table Scholar at Oxford University. In 2004, she held the Women's Chair in Humanistic Studies at Marquette.Throughout these achievements, Warren was a dynamic thinker committed to 'real world' issues and strongly committed to public engagement. She took philosophy to be a democratic practice and was committed to the social impacts of philosophy. In her outreach, she taught prison inmates and developed award-winning environmental curricula for schoolchildren, for which she received awards. She was an international scholar who faced issues in peace studies, feminism, and environmental ethics, and is known for bringing those areas of research together. In feminism, her Unconventional History of Philosophy: Conversations Between Men and Women Philosophers (2009), a fifteen-chapter book that pairs female and male philosophers throughout the centuries, is a fascinating book that breaks down the gender bias in philosophy that has rarely recognized women's contributions to the discipline, and seems to be continuing that practice. She is most known for her work as an ecofeminist, that is the focal topic of this paper. [End Page 1]The first time I met Karen was in 1995 when I invited her to Colgate University in upstate New York to celebrate its twenty-fifth year since it began accepting female students. She changed everything—epistemology, ontology, ethics … I learned from her what, beyond contemporary science-based definitions of knowledge, is another kind of knowing from generations of experience built in long-standing cultures. For quite some time, ethics was not considered in philosophy really to be philosophy that, like science, was expected to be grounded on logic. Contemporary 'science,' a generalization that actually covers a wide range of disciplines—e.g., biology, physics, actuarial science, computer science, etc.—is logical in so far as it is more or less based on quantitative assessment using numerical data and mathematics. Ethics, that is inherently qualitative, is not taken to carry the neutrality of mathematics and science. Warren rejected that view and instead, as I will show in more detail below, argued for a different logic based on care. She also argued that understanding what knowledge is is unique to culture, and on this basis, she has advocated for listening to indigenous voices and voices in the global South that are outside Eurocentric knowledge systems despite the impacts of colonialism. Before taking on these issues, however, Warren's role in ecofeminism, that emerged during her higher education in philosophy, and her development in consequence of her ecofeminist thinking, must first be addressed.Practically speaking, the crucially impactful thing that Warren did for ecofeminism was to sustain it. In the 1970s, ecofeminism was emerging with a vision of women's power that was challenged by the women's connection to nature as her reproductive capacity, hence re-awakening an essentialist inscription of biologism for women that once again implied mothers' natural confinement to domesticity. Ecofeminists responded to this challenge. Ortner (1974) argued that women are not closer to nature than men, just constructed to appear so, thereby making change possible only if achieved in both cultural assumptions and social institutions. Amongst such debates, new medical technologies were appropriating the birthing process. Ecofeminist writers, such as Mary Daly in Gyn/Ecology (Daly 1978) and Susan Griffin in Woman and Nature: The Roaring Inside Her (Griffin 1978), both published in 1978, wanted to take that power back from patriarchy through the "Great Goddess" as a "symbol of life and death powers and waxing and waning energies in the universe and in... (shrink)

The phenomenon whereby severely disabled persons self-report a higher than expected level of subjective well-being is called the “disability paradox.” One explanation for the paradox among brain injury survivors is “response shift,” an adjustment of one’s values, expectations, and perspective in the aftermath of a life-altering, disabling injury. The high level of subjective well-being appears paradoxical when viewed from the perspective of the non-disabled, who presume that those with severe disabilities experience a quality of life so poor that it might (...) make their lives not worth living. This presumption has profound consequences, for it may inform end-of-life choices made in advance directives, or influence decisions made by surrogates on behalf of persons who are unable to direct their own medical treatment. -/- Peterson et al propose a cautious, well-considered plan to use fMRI-based brain-computer interfaces to assess the decision making capacity of covertly aware, behaviorally non-responsive individuals who retain high levels of preserved cognition. Their plan, if it succeeds, could eventually restore autonomy and empower some severely disabled persons, allowing them to participate in clinical decision making. Peterson et al discuss possible in-principle objections to their proposal, among them the “argument from psychological health,” and the “changing sets of values” objection. These objections both presume that deviations from a pre-injury norm could indicate diminished decision making capacity. This presumption threatens the autonomy of the patient who is capable of making decisions, but whose post-injury decisions appear to diverge from pre-injury preferences or values. In light of the potential for response shift, and the disability paradox, it should not be inferred that changes in values or preferences are unreflective of the true current preferences of a brain-injured person, nor are they conclusive evidence of diminished capacity. Presuming diminished capacity on the basis of unexpected or unconventional preferences has, in the past, been used to disempower patients whose autonomy and capacity would not have been doubted had they made choices that accorded with the expectations or values of others. We must be cautious, and vigilant, to prevent similarly diminishing the autonomy of covertly aware, behaviorally non-responsive individuals on the basis of empirically and ethically questionable inferences about their decision making capacity. (shrink)

In his initial dissertation the author asked the question of "naturalizibility" of self-conscience; in the following book he has already criticized "naturalism" as a defect idiom. He takes language as a tool of his critical strategy. He refers to the paradox of the anthropomorphic understanding of nature and the physiomorphic self-understanding of man. There are three main parts in the book. First, various naturalist strategies, starting with American Naturalism, are exposed. Human language has been characterized as an unconventional means (...) of description of natural and factual contents. Three areas, or "paradigms," have been found exemplary for the "naturalism at work", evolutionary theory, psychoanalysis, and cybernetics. The next part centers in two chapters on the "language dualism" where there is a concept tension caused by the spirit-body problem and the two universes of discourse, in accord with the ideals of naturalism, should not be ontologically substantiated. In accord with the fundamental theory, one can assert a mentalist or a physicalist discourse, the language of action or of occurrence, or also the intentionalist or mechanist idiom. The third main block of exposition analyses the two basic types of metaphors, namely, the anthropomorphic and the physiomorphic. Before starting his survey of five metaphor theories, Keil expressly rejects the Iconic Signification Theory. He is sure metaphors are hyper-conceptual elements of language. Two of the theories present more virtues than defects, the Theory of Interaction and the pragmatist Theory of Indirect Communication. At the end of these reflections the author confronts the metaphor of man as a machine with teleology and, on the other hand, thinks of problems linked with the human spirit as a computer metaphor. Two chapters form the finale of the book. In accord with Keil the concept of nature in the natural sciences seems to have died out resulting in "naturalism" becoming a conceptually unclear term. Another problem is causality, for the "propter hoc" is not unfolded in the world of bodies. Relations, including causal ones, are abstract entities. The notion of causality in nature cannot be counted as an intentional concept but, at the same time, causal theories of knowledge and action cannot serve to naturalize intentionality. (shrink)

In 1815, the clever, courted and cherished Annabella Milbanke married the notorious and brilliant Lord Byron. Just one year later, she fled, taking with her their baby daughter, the future Ada Lovelace. Byron himself escaped into exile and died as a revolutionary hero in 1824, aged 36. The one thing he had asked his wife to do was to make sure that their daughter never became a poet. Ada didn't. Brought up by a mother who became one of the most (...) progressive reformers of Victorian England, Byron's little girl was introduced to mathematics as a means of calming her wild spirits. Educated by some of the most learned minds in England, she combined that scholarly discipline with a rebellious heart and a visionary imagination. As a child invalid, Ada dreamed of building a steam-driven flying horse. As an exuberant and boldly unconventional young woman, she amplified her explanations of Charles Babbage's unbuilt calculating engine to predict, as nobody would do for another century, the dawn today of our modern computer age. When Ada died - like her father, she was only 36 - great things seemed still to lie ahead for her as a passionate astronomer. Even while mired in debt from gambling and crippled by cancer, she was frenetically employing Faraday's experiments with light refraction to explore the analysis of distant stars. Drawing on fascinating new material, Seymour reveals the ways in which Byron, long after his death, continued to shape the lives and reputations both of his wife and his daughter. During her life, Lady Byron was praised as a paragon of virtue; within ten years of her death, she was vilified as a disgrace to her sex. Well over a hundred years later, Annabella Milbanke is still perceived as a prudish wife and cruelly controlling mother. But her hidden devotion to Byron and her tender ambitions for his mercurial, brilliant daughter reveal a deeply complex but unsuspectedly sympathetic personality. Miranda Seymour has written a masterful portrait of two remarkable women, revealing how two turbulent lives were often governed and always haunted by the dangerously enchanting, quicksilver spirit of that extraordinary father whom Ada never knew. (shrink)

The Reason Why by Edo Pivčević is an unconventional philosophy book. The author takes the wind out of the sails of the sceptic’s argument by removing its basis. It is neither epistemology nor ontology; nor does its outcome fall into the usual categories vis à vis the real, including pragmatism. A complete system is developed through a profound examination of explanation, contrasting the conceptual approach with the unbounded naturalistic kind and its dangers, illuminating examples of the latter kind with (...) misunderstandings and abuses in physics, mathematics and computer science; effectively demonstrating the confusions engenderedby varieties of reductionism. The author erects a rational structure of components which are mutually dependent and self-sustaining through the analysis and endorsement of common dualisms, e.g. necessary and contingent truth, self and the world; while distancing causality and determinism. (shrink)

This systematic investigation of computation and mental phenomena by a noted psychologist and computer scientist argues that cognition is a form of computation, that the semantic contents of mental states are encoded in the same general way as computer representations are encoded. It is a rich and sustained investigation of the assumptions underlying the directions cognitive science research is taking. 1 The Explanatory Vocabulary of Cognition 2 The Explanatory Role of Representations 3 The Relevance of Computation 4 (...) The Psychological Reality of Programs: Strong Equivalence 5 Constraining Functional Architecture 6 The Bridge from Physical to Symbolic: Transduction 7 Functional Architecture and Analogue Processes 8 Mental Imagery and Functional Architecture 9 Epilogue: What is Cognitive Science the Science of? (shrink)

One recursively enumerable real α dominates another one β if there are nondecreasing recursive sequences of rational numbers (a[n] : n ∈ ω) approximating α and (b[n] : n ∈ ω) approximating β and a positive constant C such that for all n, C(α − a[n]) ≥ (β − b[n]). See [R. M. Solovay, Draft of a Paper (or Series of Papers) on Chaitin’s Work, manuscript, IBM Thomas J. Watson Research Center, Yorktown Heights, NY, 1974, p. 215] and [G. J. (...) Chaitin, IBM J. Res. Develop., 21 (1977), pp. 350–359]. We show that every recursively enumerable random real dominates all other recursively enumerable reals. We conclude that the recursively enumerable random reals are exactly the Ω-numbers [G. J. Chaitin, IBM J. Res. Develop., 21 (1977), pp. 350–359]. Second, we show that the sets in a universal Martin-Lof test for randomness have random measure, and every recursively enumerable random number is the sum of the measures represented in a universal Martin-Lof test. (shrink)

Turing computation over a non-linguistic domain presupposes a notation for the domain. Accordingly, computability theory studies notations for various non-linguistic domains. It illuminates how different ways of representing a domain support different finite mechanical procedures over that domain. Formal definitions and theorems yield a principled classification of notations based upon their computational properties. To understand computability theory, we must recognize that representation is a key target of mathematical inquiry. We must also recognize that computability theory is an intensional enterprise: (...) it studies entities as represented in certain ways, rather than entities detached from any means of representing them. (shrink)

A basic deep neural network (DNN) is trained to exhibit a large set of input–output dispositions. While being a good model of the way humans perform some tasks automatically, without deliberative reasoning, more is needed to approach human‐like artificial intelligence. Analysing recent additions brings to light a distinction between two fundamentally different styles of computation: content‐specific and non‐content‐specific computation (as first defined here). For example, deep episodic RL networks draw on both. So does human conceptual reasoning. Combining the (...) two takes advantage of the complementary costs and benefits of each. It also offers a better model of human cognitive competence. (shrink)

Relative to digital computation, analogue computation has been neglected in the philosophical literature. To the extent that attention has been paid to analogue computation, it has been misunderstood. The received view—that analogue computation has to do essentially with continuity—is simply wrong, as shown by careful attention to historical examples of discontinuous, discrete analogue computers. Instead of the received view, I develop an account of analogue computation in terms of a particular type of analogue representation that (...) allows for discontinuity. This account thus characterizes all types of analogue computation, whether continuous or discrete. Furthermore, the structure of this account can be generalized to other types of computation: analogue computation essentially involves analogue representation, whereas digital computation essentially involves digital representation. Besides being a necessary component of a complete philosophical understanding of computation in general, understanding analogue computation is important for computational explanation in contemporary neuroscience and cognitive science. (shrink)

Computation and information processing are among the most fundamental notions in cognitive science. They are also among the most imprecisely discussed. Many cognitive scientists take it for granted that cognition involves computation, information processing, or both – although others disagree vehemently. Yet different cognitive scientists use ‘computation’ and ‘information processing’ to mean different things, sometimes without realizing that they do. In addition, computation and information processing are surrounded by several myths; first and foremost, that they are (...) the same thing. In this paper, we address this unsatisfactory state of affairs by presenting a general and theory-neutral account of computation and information processing. We also apply our framework by analyzing the relations between computation and information processing on one hand and classicism and connectionism on the other. We defend the relevance to cognitive science of both computation, in a generic sense that we fully articulate for the first time, and information processing, in three important senses of the term. Our account advances some foundational debates in cognitive science by untangling some of their conceptual knots in a theory-neutral way. By leveling the playing field, we pave the way for the future resolution of the debates’ empirical aspects. (shrink)

This Element has three main aims. First, it aims to help the reader understand the concept of computation that Turing developed, his corresponding results, and what those results indicate about the limits of computational possibility. Second, it aims to bring the reader up to speed on analyses of computation in physical systems which provide the most general characterizations of what it takes for a physical system to be a computational system. Third, it aims to introduce the reader to (...) some different kinds of quantum computers, describe quantum speedup, and present some explanation sketches of quantum speedup. If successful, this Element will equip the reader with a basic knowledge necessary for pursuing these topics in more detail. (shrink)