In order to develop a true biological science of consciousness, we have to remove humans from the center of reference and develop a bottom-up comparative study of animal minds, as Donald Griffin intended with his call for a “cognitive ethology.” In this article, I make use of the pathological complexity thesis (Veit 2022a, b, c ) to show that we can firmly ground a comparative study of animal consciousness by drawing on the resources of state-based behavioral life history theory. By (...) comparing the different life histories of gastropods and arthropods, we will be able to make better sense of the possible origins of consciousness and its function for organisms in their natural environments. (shrink)

The idea that consciousness and complexity are closely related has been a major driver of the popularity of integrated information theory of consciousness, despite its major formal, phenomenological, and neuroscientific shortcomings. Here, I argue that we can recover this intuition by replacing its biologically neutral notion of complexity with an evolutionary one that I shall dub “pathological complexity.”.

In his 2009 monograph, Darwinian Populations and Natural Selection, Peter Godfrey-Smith accuses biologists of demonstrating ‘Darwinian Paranoia’ when they engage in what he dubs ‘agential thinking’. But as Daniel Dennett points out, he offers neither an illuminating set of examples nor an extended argument for this assertion, deeming it to be a brilliant propaganda stroke against what is actually a useful way of thinking. Compared to the dangers of teleological thinking in biology, the dangers of agential thinking have unfortunately rarely (...) been discussed. Drawing on recent work by Samir Okasha, I attempt to remedy this omission, through analyzing the nature of agential thinking, and providing a philosophical treatment of the unexamined dangers in this peculiar, yet tempting way of thinking. (shrink)

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. (shrink)