I shall add to this suggestion that what we would ordinarily think of counting as concepts--those for which we can find words --demand an extension or distribution of this likeness among those who use language together. I have little confidence in a method that would look to words for the original derivation of concepts. It seems clear that sounds or written signs that are to pass for words must be recognized as words. No signal or indication that this is (...) what they are will gain for them this recognition, unless the signal is itself recognized. A concept, as I am thinking of it, is presupposed in any act of recognition. It is, to speak broadly, the knowing what to think of an object that may be given. (shrink)

Learning from demonstration is one of the promising approaches for fast robot programming. Most learning systems learn both movements and stiffness profiles from human demonstrations. However, they rarely consider the unknown environment interaction. In this paper, a robot human-like learning framework is proposed, where it can learn human skills through demonstration and complete the interaction task with an unknown environment. Firstly, the desired trajectory was generated by dynamic movement primitive based on human demonstration. Then, an adaptive (...) optimal admittance control scheme was employed to interact with environments with the reference adaptation method. Finally, the experimental study was conducted, and the effectiveness of the framework proposed in this paper was verified via a group of curved surface wiping experiments on a balloon with unknown model parameters. (shrink)

Inventing novel knowledge to solve problems is a crucial, creative, mechanism employed by humans, to extend their range of action. In this paper, we present TCL (typicality-based compositional logic): a probabilistic, non monotonic extension of standard Description Logics of typicality, and will show how this framework is able to endow artificial systems of a human-like, commonsense based, concept composition procedure that allows its employment in a number of applications (ranging from computational creativity to goal-based reasoning to recommender systems and (...) affective computing). -/- The framework relies on 3 main ingredients: a non monotonic extension of standard Description Logics (allowing to reason on exceptions to inheritance in standard knowledge bases) a probabilistic extension coming from the field of logic programming (the DISPONTE semantics) a cognitive heuristics known ad HEAD-Modifier determining preference rules for the inheritance mechanisms of the novel concepts to be generated via commonsense rules. -/- We report the obtained results and the lessons learned of this research path in the context of model-based AI applications. -/- . (shrink)

This paper provides a brief overview of findings in mathematical cognition and how a human-like AI in mathematics may look like. Then, it provides six reasons in favor of a human-like AI for mathematics: (1) human cognition, with all its limits, creates mathematics; (2) human mathematics is insightful, not merely deductive steps; (3) human cognition detects structure in the real world; (4) human cognition can tackle and detect complex problems; (5) human cognition is (...) creative; (6) human cognition considers ethical issues. The paper provides a tentative frame to the question whether human mathematical cognition is relevant for designing an artificial intelligence that works on and creates mathematics. (shrink)

Bowers et al. express skepticism about deep neural networks (DNNs) as models of human vision due to DNNs' failures to account for results from psychological research. We argue that to fairly assess DNNs, we must first train them on more human-like tasks which we hypothesize will induce more human-like behaviors and representations.

Why would we want to develop artificial human-like arithmetical intelligence, when computers already outperform humans in arithmetical calculations? Aside from arithmetic consisting of much more than mere calculations, one suggested reason is that AI research can help us explain the development of human arithmetical cognition. Here I argue that this question needs to be studied already in the context of basic, non-symbolic, numerical cognition. Analyzing recent machine learning research on artificial neural networks, I show how AI studies could (...) potentially shed light on the development of human numerical abilities, from the proto-arithmetical abilities of subitizing and estimating to counting procedures. Although the current results are far from conclusive and much more work is needed, I argue that AI research should be included in the interdisciplinary toolbox when we try to explain the development and character of numerical cognition and arithmetical intelligence. This makes it relevant also for the epistemology of mathematics. (shrink)

Two theses are proposed; regarding the future evolution of the value systems of advanced AGI systems. The Value Learning Thesis is a semi-formalized version of the idea that; if an AGI system is taught human values in an interactive and experiential way as its intelligence increases toward human level; it will likely adopt these human values in a genuine way. The Value Evolution Thesis is a semi-formalized version of the idea that if an AGI system begins with (...) human-like values; and then iteratively modifies itself; it will end up in roughly the same future states as a population of human beings engaged with progressively increasing their own intelligence. Taken together; these theses suggest a worldview in which raising young AGIs to have human-like values is a sensible thing to do; and likely to produce a future that is generally desirable in a human sense. While these two theses are far from definitively proven; I argue that they are more solid and more relevant to the actual future of AGI than Bostrom’s “Instrumental Convergence Thesis” and “Orthogonality Thesis” which are core to the basis of his argument for fearing ongoing AGI development and placing AGI R&D under strict governmental control. In the context of fleshing out this argument; previous publications and discussions by Richard Loosemore and Kaj Sotala are discussed in some detail. (shrink)

The anticipated social capabilities of robots may allow them to serve in authority roles as part of human-machine teams. To date, it is unclear if, and to what extent, human team members will comply with requests from their robotic teammates, and how such compliance compares to requests from human teammates. This research examined how the human-likeness and physical embodiment of a robot affect compliance to a robot's request to perseverate utilizing a novel task paradigm. Across (...) a set of two studies, participants performed a visual search task while receiving ambiguous performance feedback. Compliance was evaluated when the participant requested to stop the task and the coach urged the participant to keep practicing multiple times. In the first study, the coach was either physically co-located with the participant or located remotely via a live-video. Coach type varied in human-likeness and included either a real human, a Nao robot, or a modified Roomba robot. The second study expanded on the first by including a Baxter robot as a coach and replicated the findings in a different sample population with a strict chain of command culture. Results from both studies showed that participants comply with the requests of a robot for up to 11 min. Compliance is less than to a human and embodiment and human-likeness on had weak effects on compliance. (shrink)

This paper is about how to give human-like powers to complete agents. For this the most important design choice concerns the overall architecture. Questions regarding detailed mechanisms, forms of representations, inference capabilities, knowledge etc. are best addressed in the context of a global architecture in which different design decisions need to be linked. Such a design would assemble various kinds of functionality into a complete coherent working system, in which there are many concurrent, partly independent, partly mutually supportive, partly (...) potentially incompatible processes, addressing a multitude of issues on different time scales, including asynchronous, concurrent, motive generators. Designing human like agents is part of the more general problem of understanding design space, niche space and their interrelations, for, in the abstract, there is no one optimal design, as biological diversity on earth shows. (shrink)

Spatial communications are essential to the survival and social interaction of human beings. In science fiction and the near future, robots are supposed to be able to understand spatial languages to collaborate and cooperate with humans. However, it remains unknown whether human speakers regard robots as human-like social partners. In this study, human speakers describe target locations to an imaginary human or robot addressee under various scenarios varying in relative speaker–addressee cognitive burden. Speakers made equivalent (...) perspective choices to human and robot addressees, which consistently shifted according to the relative speaker–addressee cognitive burden. However, speakers’ perspective choice was only significantly correlated to their social skills when the addressees were humans but not robots. These results suggested that people generally assume robots and humans with equal capabilities in understanding spatial descriptions but do not regard robots as human-like social partners. (shrink)

This study examined individual differences in sensitivity to human-like features of a robot’s behavior. The paradigm comprised a non-verbal Turing test with a humanoid robot. A “programmed” condition differed from a “human-controlled” condition by onset times of the robot’s eye movements, which were either fixed across trials or modeled after prerecorded human reaction times, respectively. Participants judged whether the robot behavior was programmed or human-controlled, with no information regarding the differences between respective conditions. Autistic traits were (...) measured with the autism-spectrum quotient questionnaire in healthy adults. We found that the fewer autistic traits participants had, the more sensitive they were to the difference between the conditions, without explicit awareness of the nature of the difference. We conclude that although sensitivity to fine behavioral characteristics of others varies with social aptitude, humans are in general capable of detecting human-like behavior based on very subtle cues. (shrink)

I will review the main problems concerning commonsense reasoning in machines and I will present resent two different applications - namaly: the Dual PECCS linguistic categorization system and the TCL reasoning framework that have been developed to address, respectively, the problem of typicality effects and the one of commonsense compositionality, in a way that is integrated or compliant with different cognitive architectures thus extending their knowledge processing capabilities In doing so I will show how such aspects are better dealt with (...) at different levels of representation and will discuss how the adoption of a cognitively inspired approach be useful in the design and implementation of the next generation AI systems mastering commonsense. (shrink)

Turing’s Imitation Game is often viewed as a test for theorised machines that could ‘think’ and/or demonstrate ‘intelligence’. However, contrary to Turing’s apparent intent, it can be shown that Turing’s Test is essentially a test for humans only. Such a test does not provide for theorised artificial intellects with human-like, but not human-exact, intellectual capabilities. As an attempt to bypass this limitation, I explore the notion of shifting the goal posts of the Turing Test, and related tests such (...) as the Total Turing Test, away from the exact imitation of human capabilities, and towards communication with humans instead. While the continued philosophical relevance of such tests is open to debate, the outcome is a different class of tests which are, unlike the Turing Test, immune to failure by means of sub-cognitive questioning techniques. I suggest that attempting to instantiate such tests could potentially be more scientifically and pragmatically relevant to some Artificial Intelligence researchers, than instantiating a Turing Test, due to the focus on producing a variety of goal directed outcomes through communicative methods, as opposed to the Turing Test’s emphasis on ‘fooling’ an Examiner. (shrink)

This paper is an overview of the idea that several aspects of human-like reasoning may be understood in a framework of information compression by 'multiple alignment', 'unification' and 'search'. These concepts will be described in outline together with a description of the SP61 computer model which is a partial realisation of the framework. A selection of examples are presented, illustrated with output from the SP61 model.

In Theriaca 343–358, Nicander recounts a rather unusual myth. After Prometheus had stolen fire, Zeus was seeking the thief and, when men delivered Prometheus over to him, he gave them the gift of youth. Humans entrusted the ass to carry this load, but the ass was seized by thirst and sought the help of the snake, who demanded in return the thing he was carrying on his back. This is how the gift of youth given to men fell to the (...) serpent’s lot. Ever since, inevitable old age has weighed upon them, while the snakes cast off their old skin and gain a new one. Like any digression in Hellenistic epic poetry, this parable certainly is intended to entertain the reader, yet it must have a more serious function: by showing that it was only out of stupidity that men gave away their invaluable gift to the ass, Nicander asserts the great value of knowledge for life. Remarkably, it is precisely in this passage that the poet has inserted the acrostic of his name. The idea that his poetic work will ensure the survival of his name for future generations, directly expressed in the closing lines, is here conveyed with the greatest refinement. (shrink)

A roomsize computer equipped with a new type of circuitry, the Perceptron, was introduced to the world in 1958 in a brief news story buried deep in The New York Times. The story cited the U.S. Navy as saying that the Perceptron would lead to machines that “will be able to walk, talk, see, write, reproduce itself and be conscious of its existence.” More than six decades later, similar claims are being made about current artificial intelligence. So, what’s changed in (...) the intervening years? In some ways, not much. (shrink)

Nass’ and Reeves’ media equation paradigm within human–computer interaction challenges long-held assumptions about how users approach computers. Given a rudimentary set of cues present in the system’s design, users are said to unconsciously treat computers as genuine interactants—extending rules of politeness, biases and human interactive conventions to machines. Since the results have wide-ranging implications for HCI research methods, interface design and user experiences, researchers are hard-pressed to experimentally verify the paradigm. This paper focuses on the methodology of attributing (...) the necessary social cues to the agent, a core aspect of the experimental design of studies dealing with the media equation. A typology of experimental anthropomorphisms is developed, allowing an assessment of how the differing axiomatic assumptions affect the relevance of the results for an evaluation of the paradigm. The paper concludes with a series of arguments in favour of one particular anthropomorphism type for researching the media equation. (shrink)

The lack of consensus on how to characterize humans’ capacity for belief reasoning has been brought into sharp focus by recent research. Children fail critical tests of belief reasoning before 3 to 4 years (Wellman, Cross, & Watson, 2001; Wimmer & Perner, 1983), yet infants apparently pass false belief tasks at 13 or 15 months (Onishi & Baillargeon, 2005; Surian, Caldi, & Sperber, 2007). Non-human animals also fail critical tests of belief reasoning but can show very complex social behaviour (...) (e.g., Call & Tomasello, 2005). Fluent social interaction in adult humans implies efficient processing of beliefs, yet direct tests suggest that belief reasoning is cognitively demanding, even for adults (e.g., Apperly, Samson & Humphreys, 2005). We interpret these findings by drawing an analogy with the domain of number cognition, where similarly contrasting results have been observed. We propose that the success of infants and non-human animals on some belief reasoning tasks may be best explained by a cognitively efficient but inflexible capacity for tracking belief-like states. In humans this capacity persists in parallel with later-developing, more flexible but more cognitively demanding theory of mind abilities. (shrink)

Autonomous lifelong development and learning are fundamental capabilities of humans, differentiating them from current deep learning systems. However, other branches of artificial intelligence have designed crucial ingredients towards autonomous learning: curiosity and intrinsic motivation, social learning and natural interaction with peers, and embodiment. These mechanisms guide exploration and autonomous choice of goals, and integrating them with deep learning opens stimulating perspectives.

[Multiple authors] In this paper, we propose a general architecture that is based on fast/slow solvers and a metacognitive component. We then present experimental results on the behavior of an instance of this architecture, for AI systems that make decisions about navigating in a constrained environment. We show how combining the fast and slow decision modalities allows the system to evolve over time and gradually pass from slow to fast thinking with enough experience, and that this greatly helps in decision (...) quality, resource consumption, and efficiency. (shrink)

Recent work in judgment and decision-making has shown that a good’s price can have irrational effects on people’s preferences. People tend to prefer goods that cost more money and assume that such expensive goods will be more effective, even in cases where the price of the good is itself arbitrary. Although much work has documented the existence of these pricing effects, unfortunately little work has addressed where these price effects come from in the first place. Here we use a comparative (...) approach to distinguish between different accounts of this bias and to explore the origins of these effects. Specifically, we test whether brown capuchin monkeys (Cebus apella) are also susceptible to pricing effects within the context of an experimentally trained token economy. Using a capuchin population previously trained in a token market, we explored whether monkeys used price as an indicator of value across four experiments. Although monkeys demonstrated an understanding of which goods had which prices (consistently shifting preferences to cheaper goods when prices were increased), we observed no evidence that such price information affected their valuation of different kinds of goods. These results suggest that human price effects may involve more sophisticated human-unique cognitive capacities, such as an understanding of market forces and signaling. (shrink)

Polo‐like kinase 1 (PLK1) is a serine/threonine kinase that plays multiple and essential roles during the cell division cycle. Its inhibition in cultured cells leads to severe mitotic aberrancies and cell death. Whereas previous reports suggested that Plk1 depletion in mice leads to a non‐mitotic arrest in early embryos, we show here that the bi‐allelic Plk1 depletion in mice certainly results in embryonic lethality due to extensive mitotic aberrations at the morula stage, including multi‐ and mono‐polar spindles, impaired chromosome segregation (...) and cytokinesis failure. In addition, the conditional depletion of Plk1 during mid‐gestation leads also to severe mitotic aberrancies. Our data also confirms that Plk1 is completely dispensable for mitotic entry in vivo. On the other hand, Plk1 haploinsufficient mice are viable, and Plk1‐heterozygous fibroblasts do not harbor any cell cycle alterations. Plk1 is overexpressed in many human tumors, suggesting a therapeutic benefit of inhibiting Plk1, and specific small‐molecule inhibitors for this kinase are now being evaluated in clinical trials. Therefore, the different Plk1 mouse models here presented are a valuable tool to reexamine the relevance of the mitotic kinase Plk1 during mammalian development and animal physiology. (shrink)

A first-of-its kind, in-depth investigation into how companion animals and their humans have carved out a new type of family - the multi-species family - in which identities like parent, child, grandparent, and sibling transcend species to create new forms of kinship.

Consider the concept combination ‘pet human’. In word association experiments, human subjects produce the associate ‘slave’ in relation to this combination. The striking aspect of this associate is that it is not produced as an associate of ‘pet’, or ‘human’ in isolation. In other words, the associate ‘slave’ seems to be emergent. Such emergent associations sometimes have a creative character and cognitive science is largely silent about how we produce them. Departing from a dimensional model of (...) class='Hi'>human conceptual space, this article will explore concept combinations, and will argue that emergent associations are a result of abductive reasoning within conceptual space, that is, below the symbolic level of cognition. A tensor-based approach is used to model concept combinations allowing such combinations to be formalized as interacting quantum systems. Free association norm data is used to motivate the underlying basis of the conceptual space. It is shown by analogy how some concept combinations may behave like quantum-entangled particles. Two methods of analysis were presented for empirically validating the presence of non-separable concept combinations in human cognition. One method is based on quantum theory and another based on comparing a joint probability distribution with another distribution based on a separability assumption using a chi-square goodness-of-fit test. Although these methods were inconclusive in relation to an empirical study of bi-ambiguous concept combinations, avenues for further refinement of these methods are identified. (shrink)

Among scholars, how to interpret and evaluate Kant’s rejection of diabolical evil remains controversial. This article has two aims. First, I will examine all six forms of diabolical evil either discussed by Kant or implicitly contained in his texts, thereby demonstrating the reasons why each of these forms must be rejected within his framework. The conclusion of this text analysis is that the extremity of human evil for Kant is quasi-diabolical Willkür which does evil for the sake of self-assertion. (...) Second, I will offer a moderate defense of Kant’s view of diabolical evil as a whole. On the one hand, the legitimacy of Kant’s rejection of both diabolical Wille and full-fledged diabolical Willkür can be confirmed within his theory of practical freedom. On the other hand, faced with the possibility of ‘occasionally doing evil qua evil’, a critical defense of Kant’s moral psychology can be established, i.e. a defense that casts doubt on the distinguishability between ‘doing evil for the sake of self-assertion’ and ‘doing evil qua evil’. (shrink)

Standard views of good death in human and veterinary medicine considerably differ from one another. Whereas the good death ideal in palliative medicine emphasizes the positive aspects of non-induced dying, veterinarians typically promote a quick and painless killing with the aim to end suffering. Recent developments suggest a convergence of both professions and professional attitudes, however. Palliative physicians are confronted with patients wishing to be ‘put to sleep’, while veterinarians have begun to integrate principles and practices from hospice care. (...) We will argue that the discourses on good human and animal deaths are not distinct, but that they interact and influence each other. On the one hand, veterinary medicine adapts techniques like chemotherapy or sedation from palliative end-of-life care. On the other hand, philosophers, veterinarians, pet owners, patients and the general public alike make certain assumptions about the analogy of human and animal dying or killing. Unfortunately, these interactions have only scarcely been reflected normatively, especially on the part of human medicine. Conflicts and misattributions with potential serious negative consequences for the patients’ wellbeing are provoked. For these reasons, palliative physicians and veterinarians are invited to engage in the debate around human and animal end-of-life care. (shrink)

Feeling like doing something is not the same as deciding to do it. When you feel like doing something, you are still free to decide to do it or not. You are having an inclination to do it, but you are not thereby determined to do it. I call this the moment of drama. This book is about what you are faced with, in this moment. How should you relate to the inclinations you “have,” given that you are free to (...) “act on” them or not? To answer this question, we need an account of what sort of thing we are relating to, in this moment. But here we find a genuine philosophical problem. Our inclinations are forms of motivation, with respect to which we are distinctively passive. To be motivated is to be self-moved. But how can we be passive in relation to our own self-movement? Is our relation to our inclinations like that of rider to horse? Or is it like our relation to our own, spontaneous judgments or perceptions? I lay out three constraints on any theory of inclination, and I argue that familiar theories fail to meet them, because they make being inclined to φ‎ too similar or dissimilar to φ‎-ing. I then put forward the “inner animal” view, which holds that when you are merely inclined to act, the instinctive part of yourself is already active, while the rest of you is not. In this moment, your will is “at a crossroads.” You can humanize your inclination, or dehumanize yourself. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Like an Elephant Pricked by a Thorn:Buddhist Meditation Instructions as a Door to Deep ListeningWilla B. MillerThe phrase “deep listening” has been circulating in recent years in the contexts of contemplative education, psychotherapy, pastoral care, and the arts. This article is a reflection on deep listening from a Buddhist perspective, as it might support the ongoing development of career educators, although this reflection might apply equally well to ministers (...) and (in the Buddhist world) dharma teachers. My motivation to contribute to this discourse of listening is spurred by the belief that the effectiveness of educators, ministers, and dharma teachers might be enhanced by training in the art of listening. These career professionals share a key aspect of their role in common: They get up in front of groups of people to teach or preach. In this performative role, it is possible for teachers (or preachers) to become so accustomed to being the source of information that a dynamic is created, inside and outside the classroom or pulpit, in which discourse is weighted primarily in one direction. This dynamic, I would argue, prevents optimal learning and stunts the feedback loop necessary for pedagogical health, both for students and for their educators.Listening, as a valued pedagogical discipline on the part of the teacher, has the potential to rebalance this dynamic. To educate effectively, we need to come to know the hearts and minds of those we educating, not as a theoretical group but as individuals. It takes time, effort, patience, and a dose of curiosity to listen attentively to students, to get to know them. But this effort is worth it. Only once we begin to listen to the voice of their interests, passions, and history can we begin to understand or assess their needs. Every human being is in formation. Every human being is completely unique. Listening, with curiosity and attention, is a window into the formation of the human being in his or her uniqueness. To the degree that we become familiar with the unique in our students is the degree to which we can effectively meet them where they are.There are as many definitions of deep listening as there are theorists. On a panel on the topic of deep listening at the 2013 American Academy of Religions meeting, Duane Bidwell of the Claremont School of Theology aptly noted that deep listening is [End Page 15] “an undertheorized category.” It is not a term that has been claimed by only one field or person, but it has become popular in some religious circles and psychotherapeutic circles as a term that implies that listening can dive below the surface contents of a narrative. Two years ago, in a chapter of an anthology titled The Arts of Contemplative Care, I proposed that Buddhist practices of self-cultivation may provide models that can be adapted for applications of deep listening in a context of spiritual care.1 In that chapter, I noted that Patrul Rinpoche’s three points of “how not to listen” found in The Words of My Perfect Teacher (Kun bzang bla med zhal lung)2 can help us reflect on the difference between poor and effective listening techniques in the context of spiritual care. In this article, taking a similar approach but with different material, I will explore how instructions on meditation culled from the Tibetan Buddhist tradition can be adapted to develop a discipline of deep listening for educators. In exploring this topic, I will also propose a definition of deep listening to act as support for the discipline itself. Specifically, I draw on religious instructions found in a Tibetan genre called “māhamudrā meditation instructions” (phyag chen sgom khrid), from within the Kagyu (‘brug pa bka’ brgyud) school of Tibetan Buddhism, to construct a definition of deep listening for use in educational contexts.The term “deep” (zab mo) often appears in Tibetan religious exegesis as an adjective modifying the word “dharma” (teaching). There, we find the term “deep teaching” (chos zab mo) juxtaposed with the term “vast teaching” (chos rgya che ba) in Tibetan commentaries. To say that a teaching is deep (zab mo) in the Buddhist context is to indicate that it... (shrink)

A provocative argument that environmental thinking would be better off if it dropped the concept of “nature” altogether and spoke instead of the built environment. -/- Environmentalism, in theory and practice, is concerned with protecting nature. But if we have now reached “the end of nature,” as Bill McKibben and other environmental thinkers have declared, what is there left to protect? In Thinking like a Mall, Steven Vogel argues that environmental thinking would be better off if it dropped the concept (...) of “nature” altogether and spoke instead of the “environment”—that is, the world that actually surrounds us, which is always a built world, the only one that we inhabit. We need to think not so much like a mountain (as Aldo Leopold urged) as like a mall. Shopping malls, too, are part of the environment and deserve as much serious consideration from environmental thinkers as do mountains. -/- Vogel argues provocatively that environmental philosophy, in its ethics, should no longer draw a distinction between the natural and the artificial and, in its politics, should abandon the idea that something beyond human practices (such as “nature”) can serve as a standard determining what those practices ought to be. The appeal to nature distinct from the built environment, he contends, may be not merely unhelpful to environmental thinking but in itself harmful to that thinking. The question for environmental philosophy is not “how can we save nature?” but rather “what environment should we inhabit, and what practices should we engage in to help build it?”. (shrink)

Human agents happen to judge that a conjunction of two terms is more probable than one of the terms, in contradiction with the rules of classical probabilities—this is the conjunction fallacy. One of the most discussed accounts of this fallacy is currently the quantum-like explanation, which relies on models exploiting the mathematics of quantum mechanics. The aim of this paper is to investigate the empirical adequacy of major quantum-like models which represent beliefs with quantum states. We first argue that (...) they can be tested in three different ways, in a question order effect configuration which is different from the traditional conjunction fallacy experiment. We then carry out our proposed experiment, with varied methodologies from experimental economics. The experimental results we get are at odds with the predictions of the quantum-like models. This strongly suggests that this quantum-like account of the conjunction fallacy fails. Future possible research paths are discussed. (shrink)

The concept of jus post bellum deals with moral considerations in the aftermath of conflict and is concerned with how a just peace should look like. This paper analyses the concept of jus post bellum as developed by contemporary Just War theorists. Its aim is to provide a critical perspective on the proposed substantial scope of this concept. In other words, it will consider the question: in restoring peace after war, is it justified for just combatants to change the political (...) structure of a defeated aggressor? The piece will be divided into two main parts. First, through a review of the literature, I define the current state of the art on jus post bellum thinking in relation to a number of key aspects of this concept. What does241 it entail? Which principles is it made of? What sort of activities do just war theorists speak about when they speak of creating a just peace? Second, I focus on the principle of ?political rehabilitation? of the defeated state: is it permissible? Under what circumstances? While considering these questions and authors' views on this matter, the paper will provide a critical reappraisal of the current debate on the justifiability of political reconstruction in post-conflict states. (shrink)

Recently, a research program has emerged that aims to show that animals have a memory capacity that is similar to the human episodic memory capacity. Researchers within this program argue that nonhuman animals have episodic-like memory of personally experienced past events. In this paper, I specify and evaluate the goals of this research program and the progress it has made in achieving them. I will examine some of the data that the research program has produced, as well as the (...) operational definitions and assumptions that have gone into producing that data, in order to call into question the ultimate value of the episodic-like memory research program. I argue that there is a gap between the claims that the research program makes and the data it uses to support these claims, and that bridging this gap is essential if we want to claim that human episodic memory has a meaningful analog in animals. I end with some suggestions of how to potentially fix these problems. (shrink)

In this volume, we suggest new perspectives with which critical animal studies (CAS) can contribute to the development of knowledge and praxis in two fields-dehumanization and critical border studies, both concerned with human migration, refuge, and territorial or other borders. CAS is an interdisciplinary field that reflects on the ethics of humans' relationships with other animals, how the oppression of nonhuman animals intersects with other forms of oppression, and how economic interests drive oppression. CAS scholars reject disinterested analysis to (...) champion liberation for human animals, nonhuman animals, and the Earth. (shrink)

Following the work of Barbara Cassin, this paper proposes to examine certain ways of speaking that Aristotle described as not so much human as plant-like [homoioi phutôi] and to consider whether these non-human ways of speaking might yet adduce forms of discourse that serve to model how central principles of justice can be thought. The paper does this by drawing upon Cassin’s extensive engagement with Sophistry in the classical world together with her concerted interest in the activities of (...) the Truth and Reconciliation Commission in post-apartheid South Africa. When Aristotle, in book Gamma of the Metaphysics, dismissed the speech of those spoke “otherwise” (for example, those who failed to obey the law of non-contradiction) he formalised a chauvinism that philosophy had, at least since Plato, derided as sophistry. For Cassin, however, this presumed superiority of one way of speaking over another is something that holds true only when the grounds and elemental terms of a discourse have been and remain uncontested. In this way, language in Aristotle is regulated in advance, and determines what is admissible in the court of discourse according to prescribed and recognisable forms. Accordingly, illuminated by Heidegger and yet (like Arendt) departing from his conclusions, Cassin explores the sense in which language is something ontologically constitutive but in a manner that contests rather than secures its speakers’ relations to one another. In place of a metaphysics and ethics of belonging and authenticity, Cassin’s work is oriented by figures of precarity and exile such that truth is not so much something to be discovered, once and for all, but to be contested, negotiated, and re-worked each and every time. Key to this form of discourse, the paper will claim, is the uniquely non-juridical approach to justice undertaken by the Truth and Reconciliation Commission. Here, as Cassin explains, rather than a logic of individual rights and wrongs, there is a performative role for those involved. This “politics via discourse” dislocates the identity of received (rational) subjects and allows for narrative testimony itself not only to bear witness to a past but to signal a future – one based not on the apportionment or allocation of justice but on its ongoing struggle (an eristics or agonistics) for a humanity to come. (shrink)

Commentary on J. Gowdy & L. Krall "The economic origins of ultrasociality": We question the sequence of evolutionary transitions leading to ultrasociality in humans proposed by Gowdy & Krall. Evidence indicates that families are, and likely always have been, the primary productive units in human agricultural economies, suggesting that genetic relatedness is key to understanding when the suppression of individual autonomy to the benefit of subsistence groups, i.e. extended families, evolved.

Oncofertility is one of the 9 NIH Roadmap Initiatives, federal grants intended to explore previously intractable questions, and it describes a new field that exists in the liminal space between cancer treatment and its sequelae, IVF clinics and their yearning, and basic research in cell growth, biomaterials, and reproductive science and its tempting promises. Cancer diagnoses, which were once thought universally fatal, now often entail management of a chronic disease. Yet the therapies are rigorous, must start immediately, and in many (...) cases result in premature failure of the body's reproductive ability. In women, this loss is especially poignant; unlike the routine storage of sperm, which is done in men and boys facing similar treatment decisions, freezing oocytes in anticipation of fertility loss is not possible in most cases, and creating an embryo within days of diagnosis raises significant moral, social and medical challenges. Oncofertility is the study of how to harvest ovarian tissue in women facing cancer to preserve their gametes for future use with IVF, thus allowing the decisions about childbearing to be deferred and reproductive choices to be preserved. The research endeavor uses the capacity of the ovarian follicle to produce eggs in vitro. Developing the human follicle to ovulate successfully outside the body is scientifically difficult and ethically challenging. Infertility is linked to long-standing religious and moral traditions, and is intertwined with deeply contentious social narratives about women, families, illness and birth. Is the research morally permissible? Perhaps imperative if understood as a repair from iatrogenic harms? How are considerations of justice central to the work? How will vulnerable subjects be protected? What are the moral implications of the work for women, children and families? What are the implications for society if women could store ovarian tissue as a way of stopping the biological clock? What are the moral possibilities and challenges if eggs can be produced in large quantities from a stored ovarian tissue? (shrink)

Starting from two well-known avian metaphors for Godde, this article explores non-human and specifically avian imagery for the divine in a variety of contexts, including the Hebrew Bible, the Jewish tradition, the ancient Near East and contemporary world religions. The imagery has wide-ranging symbolic reference. It has the advantage of being counter to the androcentric and anthropocentric bias of much language about Godde, and reflecting the potential of birds and animals to image Godde.