Elizabeth Irvine

In this volume, a range of high-profile researchers in philosophy of mind, philosophy of cognitive science, and empirical cognitive science, critically engage with Clark's work across the themes of: Extended, Embodied, Embedded, Enactive, and Affective Minds; Natural Born Cyborgs; and Perception, Action, and Prediction. Daniel Dennett provides a foreword on the significance of Clark's work, and Clark replies to each section of the book, thus advancing current literature with original contributions that will form the basis for new discussions, debates and directions in the discipline.

The Hard Problem is surrounded by a vast literature, to which it is increasingly hard to contribute to in any meaningful way. Accordingly, the strategy here is not to offer any new metaphysical or ‘in principle’ arguments in favour of the success of materialism, but to assume a Type Q(uinian) approach and look to contemporary consciousness science to see how the concept of consciousness fares there, and what kind of explanations we can hope to offer of it. It is suggested that while they will be materialist explanations, they will not be of the form that many scientists and philosophers would have us believe, but instead prompt a very different set of expectations and research projects.

Weisberg (2006) and Godfrey-Smith (2006, 2009) distinguish between two forms of theorising: data-driven ‘abstract direct representation’ and modeling. The key difference is that when using a data-driven approach, theories are intended to represent specific phenomena, so directly represent them, while models may not be intended to represent anything, so represent targets indirectly, if at all. The aim here is to compare and analyse these practices, in order to outline an account of model-based theorising that involves direct representational relationships. This is based on the way that computational templates Humphreys (2002, 2004) are now used in cognitive neuroscience, and draws on the dynamic and tentative process of any kind of theory construction, and the idea of partial, purpose-relative representation.

One of the possible ways to explain the experience of visual richness is to posit a level of nonconceptual or phenomenal experience. The contents of this level of experience have recently been equated with the contents of sensory memory. It will be argued that sensory memory cannot provide these contents along two broad points. First, the conception of sensory memory relied on by these authors conflates the phenomena of visible and informational persistence, and makes use of an outdated “iconic” model of visual short-term memory. Second, the way in which subjects’ reports are used to show that specific unreported contents are nevertheless experienced on a phenomenal level is questioned, using evidence on gist and high-level categorical perceptual processing. It is concluded that sensory memory, properly understood, cannot provide the kind of visual content required to support a level of richly detailed phenomenal experience, or a pictorial account of perception. Finally, alternative ways of explaining visual richness are suggested.

This paper argues for a position of ‘dark pessimism’ towards introspective reports playing a strong justificatory role in consciousness science, based on the application of frameworks and concepts of measurement. I first show that treating introspective reports as measurements fits well within current discussions of the reliability of introspection, and argue that introspective reports must satisfy at least a minimal definition of measurement in order to play a justificatory role in consciousness science. I then show how treating introspective reports as measurements makes it possible to identify the foundational methodological problems that underlie much of the current philosophical and scientific debate about the status of introspective evidence in studying consciousness. I argue that these problems prevent introspective reports from playing a strong justificatory role and resolving long-standing debates in consciousness science, both in contemporary work and in the future.

Identifying which nonhuman animal species are capable of feeling pain is important both for understanding pain mechanisms more generally and for informing animal welfare regulations, particularly in genera that are not yet widely protected. A common way to try to provide evidence of pain experiences is through behavioral indicators. In this paper I use a very simple interventionist approach to experimentation, and the contrast case provided by C. elegans, to argue that behavioral indicators commonly used for identifying pain in nonhuman animals are much less robust than typically presented. Indeed, I argue that many behavioral indicators of pain are invalid as they are currently described. More positively, this analysis makes it possible to identify what valid criteria might look like, and where relevant, to identify existing evidence related to them. Based on this I propose that the best way to make progress on questions around animal pain is to clearly ally them with questions about animal consciousness more generally, and to productively use conceptual and empirical work in both areas to develop more theoretically defensible behavioral indicators.

It is a working assumption in much of the literature on the meta-problem that problem intuitions are (fairly) universal, and they are (fairly) universally treated as being psychological or rationally significant. I argue that variation in the universality and psychological or rational significance of problem intuitions is worth taking seriously, and that doing so places significant and challenging constraints on what an answer to the meta-problem might look like. In particular, it raises a potential challenge for (full-blown) realists on how solutions to the meta-problem link to the hard problem.

This paper argues for a position of ‘dark pessimism’ towards introspective reports playing a strong justificatory role in consciousness science, based on the application of frameworks and concepts of measurement. I first show that treating introspective reports as measurements fits well within current discussions of the reliability of introspection, and argue that introspective reports must satisfy at least a minimal definition of measurement in order to play a justificatory role in consciousness science. I then show how treating introspective reports as measurements makes it possible to identify the foundational methodological problems that underlie much of the current philosophical and scientific debate about the status of introspective evidence in studying consciousness. I argue that these problems prevent introspective reports from playing a strong justificatory role and resolving long-standing debates in consciousness science, both in contemporary work and in the future.

The target paper (building on Ginsburg and Jablonka in JTB 381:55–60, 2015, The evolution of the sensitive soul: Learning and the origins of consciousness, MIT Press, USA, 2019) makes a significant and novel claim: that positive cases of non-human consciousness can be identified via the capacity of unlimited associative learning (UAL). In turn, this claim is generated by a novel methodology, which is that of identifying an evolutionary ‘transition marker’, which is claimed to have theoretical and empirical advantages over other approaches. In this commentary I argue that UAL does not function as a successful transition marker (as defined by the authors), and has internal problems of its own. However, I conclude that it is still a very productive anchor for new research on the evolution of consciousness.