Walter Veit

This paper addresses what we consider to be the most pressing challenge for the emerging science of consciousness: the measurement problem of consciousness. That is, by what methods can we determine the presence of and properties of consciousness? Most methods are currently developed through evaluation of the presence of consciousness in humans and here we argue that there are particular problems in application of these methods to nonhuman cases—what we call the indicator validity problem and the extrapolation problem. The first is a problem with the application of indicators developed using the differences between conscious and unconscious processing in humans to the identification of other conscious vs. nonconscious organisms or systems. The second is a problem in extrapolating any indicators developed in humans or other organisms to artificial systems. However, while pressing ethical concerns add urgency to the attribution of consciousness and its attendant moral status to nonhuman animals and intelligent machines, we cannot wait for certainty and we advocate the use of a precautionary principle to avoid causing unintentional harm. We also intend that the considerations and limitations discussed in this paper can be used to further analyze and refine the methods of consciousness science with the hope that one day we may be able to solve the measurement problem of consciousness.

What is it like to be a bat? What is it like to be sick? These two questions are much closer to one another than has hitherto been acknowledged. Indeed, both raise a number of related, albeit very complex, philosophical problems. In recent years, the phenomenology of health and disease has become a major topic in bioethics and the philosophy of medicine, owing much to the work of Havi Carel (2007, 2011, 2018). Surprisingly little attention, however, has been given to the phenomenology of animal health and suffering. This omission shall be remedied here, laying the groundwork for the phenomenological evaluation of animal health and suffering.

Since Friedrich Nietzsche, philosophers have grappled with the question of how to respond to nihilism. Nihilism, often seen as a derogative term for a ‘life-denying’, destructive and perhaps most of all depressive philosophy is what drove existentialists to write about the right response to a meaningless universe devoid of purpose. This latter diagnosis is what I shall refer to as existential nihilism, the denial of meaning and purpose, a view that not only existentialists but also a long line of philosophers in the empiricist tradition ascribe to. The absurd stems from the fact that though life is without meaning and the universe devoid of purpose, man still longs for meaning, significance and purpose. Inspired by Bojack Horseman and Rick and Morty, two modern existentialist masterpieces, this paper explores the various alternatives that have been offered in how to respond to the absurd, or as Albert Camus puts it; the only “really serious philosophical problem” and concludes that the problem is compatible with a naturalistic world-view, thereby genuine and transcending existentialism.

Recognizing the variety of dystopian science-fiction novels and movies, from Brave New World to Gattaca and more recently Star Trek, on the future of humanity in which eugenic policies are implemented, genetic engineering has been getting a bad reputation for valid but arguably, mostly historical reasons. In this paper, I critically examine the claim from Mehlman & Botkin (1998: ch. 6) that human enhancement will inevitably accentuate existing inequality in a free market and analyze whether prohibition is the optimal public policy for this objection as egalitarians might advise (Lamont and Favor, 2014).

This paper introduces and defends an account of model-based science that I dub model pluralism. I argue that despite a growing awareness in the philosophy of science literature of the multiplicity, diversity, and richness of models and modeling practices, more radical conclusions follow from this recognition than have previously been inferred. Going against the tendency within the literature to generalize from single models, I explicate and defend the following two core theses: any successful analysis of models must target sets of models, their multiplicity of functions within science, and their scientific context and history and for almost any aspect x of phenomenon y, scientists require multiple models to achieve scientific goal z.

Unlike any other field, the science of morality has drawn attention from an extraordinarily diverse set of disciplines. An interdisciplinary research program has formed in which economists, biologists, neuroscientists, psychologists, and even philosophers have been eager to provide answers to puzzling questions raised by the existence of human morality. Models and simulations, for a variety of reasons, have played various important roles in this endeavor. Their use, however, has sometimes been deemed as useless, trivial and inadequate. The role of models in the science of morality has been vastly underappreciated. This omission shall be remedied here, offering a much more positive picture on the contributions modelers made to our understanding of morality.

For decades Darwinian processes were framed in the form of the Lewontin conditions: reproduction, variation and differential reproductive success were taken to be sufficient and necessary. Since Buss and the work of Maynard Smith and Szathmary biologists were eager to explain the major transitions from individuals to groups forming new individuals subject to Darwinian mechanisms themselves. Explanations that seek to explain the emergence of a new level of selection, however, cannot employ properties that would already have to exist on that level for selection to take place. Recently, Hammerschmidt et al. provided a ‘bottom-up’ experiment corroborating much of the theoretical work Paul Rainey has done since 2003 on how cheats can play an important role in the emergence of new Darwinian individuals on a multicellular level. The aims of this paper are twofold. First, I argue for a conceptual shift in perspective from seeing cheats as a ‘problem’ that needs to be solved for multi-cellularity to evolve to the very ‘key’ for the evolution of multicellularity. Secondly, I illustrate the consequences of this shift for both theoretical and experimental work, arguing for a more prominent role of ecology and the multi-level selection framework within the debate then they currently occupy.