This article investigates the deep-rooted logical structures underlying our thinking about other animals with a particular focus on topics relevant for cognitive primate research. We begin with a philosophical propaedeutic that makes perspicuous how we are to differentiate ontological from epistemological considerations regarding primates, while also accounting for the many perplexities that will undoubtedly be encountered upon applying this difference to concrete phenomena. Following this, we give an account of what is to be understood by the assertion of a thesis (...) of anthropological difference, identifying, inter alia, a property that fulfils the exclusivity, universality, and constitution criteria and demarcates the differentia specifica between humans and other animals. Also, we systematically develop how such theses can be formulated more moderately. Furthermore, we account for different theoretical frameworks, argumentative schemes, and sociological factors whose employment is associated with theses as such. This endeavor is carried out under the guise of anthropomorphism and anthropodenial. Doing so, we show that both are favored by the logic of cognitive primate research. Put briefly, concepts like cladistic parsimony and arguments by analogy favor anthropomorphism whereas concepts like traditional parsimony and Morgan’s canon favor anthropodenial. We close by framing these topics in the light of the self-other category mistake that lies in ascribing exclusive self-properties to some other. Lastly, we probe this category mistake for potency and scope of implications and find it to be central to and unavoidably ingrained in our thinking about other animals. (shrink)

Descartes’ theory of the passions has important connections to his view that nonhuman animals are automata. In this paper, I show how critics of animal automatism exploited these connections. I int...

Debates in animal cognition are frequently polarized between the romantic view that some species have human-like causal understanding and the killjoy view that human causal reasoning is unique. These apparently endless debates are often characterized by conceptual confusions and accusations of straw-men positions. What is needed is an account of causal understanding that enables researchers to investigate both similarities and differences in cognitive abilities in an incremental evolutionary framework. Here we outline the ways in which a three-dimensional model of causal (...) understanding fulfills these criteria. We describe how this approach clarifies what is at stake, illuminates recent experiments on both physical and social cognition, and plots a path for productive future research that avoids the romantic/killjoy dichotomy. (shrink)

In this paper I critically discuss and, in the end, reject Morgan’s Canon, a popular principle in comparative psychology. According to this principle we should always prefer explanations of animal behavior in terms of lower psychological processes over explanations in terms of higher psychological processes, when alternative explanations are possible. The validity of the principle depends on two things, a clear understanding of what it means for psychological processes to be higher or lower relative to each other and a justification (...) of a general preference for explanations that refer to lower psychological abilities. However, I argue that we cannot spell out the idea of a psychological scale in a way that claim is satisfied. I start with the discussion of different interpretations of the notion of a psychological scale. In Sect. 3, I discuss different possible strategies to justify any of those interpretations and argue that all of them fail. Finally, in Sect. 4, I generalize the argument for all possible interpretations of Morgan’s Canon and propose an alternative strategy: We should base our interpretations of animal behavior on more general principles such as evidential support and explanatory power, as followed in other scientific domains. (shrink)

Current Perspectives in Philosophy of Biology.

Mentalist view began to lose its standing among psychologists mainly during the first half of the twentieth century. As a result, the enthusiasm to build an objective science began to grow among behaviourists and ethologists. The rise of cognitive sciences around the 1960s, however, revived the debates over the importance of cognitive intervening variables in explaining behaviours that could not be explained by clinging solely to a pure behavioural approach. Nevertheless, even though cognitive functions in nonhuman animals have been identified (...) in many studies, attributing human mental properties to animals is still being criticized as anthropomorphism. Such anthropomorphic attributions have been considered as an open door to the return of subjective methodology. Representation of anthropomorphic attributions as scientific activities within the context of discovery as opposed to the context of justification casts a new light on this problem. The present analysis proposes that anthropomorphic attributions are formed based on top-down idiosyncratic intuitions on the cusp of hypothesis building, outside the context of scientific justification. In other words, an anthropomorphic attribution is a potential creative link between pure observations of behaviours and building testable hypotheses about cognition in the process of scientific discovery. Thus, serving a function within the context of discovery, anthropomorphism does not motivate the return of subjective methodology, simply because it is not inconsistent with the rule-governed path in the context of scientific justification. (shrink)

A widespread assumption in experimental comparative cognition is that, barring compelling evidence to the contrary, the default hypothesis should postulate the simplest cognitive ontology consistent with the animal’s behavior. I call this assumption the principle of cognitive simplicity . In this essay, I show that PoCS is pervasive but unjustified: a blanket preference for the simplest cognitive ontology is not justified by any of the available arguments. Moreover, without a clear sense of how cognitive ontologies are to be carved up (...) at the joints—and which tools are appropriate for the job—PoCS rests on shaky conceptual ground. (shrink)

Conwy Lloyd Morgan (1852–1936) is widely regarded as the father of modern comparative psychology. Yet, Morgan initially had significant doubts about whether a genuine science of comparative psychology was even possible, only later becoming more optimistic about our ability to make reliable inferences about the mental capacities of non-human animals. There has been a fair amount of disagreement amongst scholars of Morgan’s work about the nature, timing, and causes of this shift in Morgan’s thinking. We argue that Morgan underwent two (...) quite different shifts of attitude towards the proper practice of comparative psychology. The first was a qualified acceptance of the Romanesian approach to comparative psychology that he had initially criticized. The second was a shift away from Romanes’ reliance on systematizing anecdotal evidence of animal intelligence towards an experimental approach, focused on studying the development of behaviour. We emphasize the role of Morgan’s evolving epistemological views in bringing about the first shift – in particular, his philosophy of science. We emphasize the role of an intriguing but overlooked figure in the history of comparative psychology in explaining the second shift, T. Mann Jones, whose correspondence with Morgan provided an important catalyst for Morgan’s experimental turn, particularly the special focus on development. We also shed light on the intended function of Morgan’s Canon, the methodological principle for which Morgan is now mostly known. The Canon can only be properly understood by seeing it in the context of Morgan’s own unique experimental vision for comparative psychology. (shrink)

Principles help comparative psychologists select from among multiple hypotheses that account for the data. Anthropomorphic principles select hypotheses that have the most human–animal similarities while anthropectic principles select hypotheses that have the most human–animal differences. I argue that there is no way for the comparative psychologist on their own to justify their selection of one principle over the other. However, the comparative psychologist can justify their selection of one principle over the other in virtue of being members of comparative psychology (...) as a community. As it turns out, though, this justifies both competing principles: the community benefits most from competition between the two principles so comparative psychologists are justified in implementing the principles by which they can best contribute to the competition. Thus, I argue that common arguments to unify principle implementation in comparative psychology are defeated by the conservative arguments to preserve and foster competition. (shrink)

Philosophers and psychologists make many different, seemingly incompatible parsimony claims in support of competing models of cognition in nonhuman animals. This variety of parsimony claims is problematic. Firstly, it is difficult to justify each specific variety. This problem is especially salient for Morgan's Canon, perhaps the most important variety of parsimony claimed. Secondly, there is no systematic way of adjudicating between particular claims when they conflict. I argue for a view of parsimony in comparative psychology that solves these problems, based (...) on Sober's view that parsimony claims are claims that one model is more plausible given background theory. (shrink)

Comparative psychology experiments typically test a null statistical hypothesis against an alternative. Coupled with Morgan’s canon, this is often taken to imply that the model positing the simpler psychological capacity should be treated as a ‘default’ that must be ruled out before any other model can be accepted. It has been posited that this practice neglects evidence. I argue that the problem is deeper, including the way it structures the evaluation of evidence that is considered; it frames model choice around (...) the acceptance or rejection of a default. I oppose this default framing in all its forms and develop an evidentialist alternative. Default framing fails to respect the difference between experimental statistical hypotheses and substantive hypotheses such as models. It is not actually supported by the use of null hypothesis significance testing (which I retain), it distorts the weighting of evidence, and it systematically biases practice. (shrink)

Philosophers and psychologists have long worried that the human tendency to anthropomorphize leads us to err in our understanding of nonhuman minds. This tendency, which I call intuitive anthropomorphism, is a heuristic used by our unconscious folk psychology to understand nonhuman animals. The dominant understanding of intuitive anthropomorphism underestimates its complexity. If we want to understand and control intuitive anthropomorphism, we must treat it as a cognitive bias and look to the empirical evidence. This evidence suggests that the most common (...) control for intuitive anthropomorphism, Morgan’s Canon, should be rejected, while others are incomplete. It also suggests new approaches. (shrink)

Despite wide recognition that speculation is critical for successful science, philosophers have attended little to it. When they have, speculation has been characterized in narrowly epistemic terms: a hypothesis is speculative due to its (lack of) evidential support. These ‘evidence-first’ accounts provide little guidance for what makes speculation productive or egregious, nor how to foster the former while avoiding the latter. I examine how scientists discuss speculation and identify various functions speculations play. On this basis, I develop a ‘function-first’ account (...) of speculation. This analysis grounds a richer discussion of when speculation is egregious and when it is productive, based in both fine-grained analysis of the speculation’s purpose, and what I call the ‘epistemic situation’ scientists face. (shrink)

Human technological capabilities have been analyzed as a distinctive feature of the species. However, recent discoveries in the field of ethology show that other species besides humans are also able to use and make tools. Ihde and Malafouris (2019) have suggested analyzing nonhuman animals’ technical capabilities using an enactivist framework, as they do for humans. This paper explores a pragmatist approach, combining gradual evolutionary continuity with enactivism. I will characterize nonhuman animals’ technical capacities using John Dewey’s notions of experience, problematic (...) situation, accommodation, adaptation, and inquiry. The technical capabilities of nonhuman animals are better explained in a non-dichotomic fashion, avoiding anthropocentric explanations. (shrink)

Experimenters claim some nonhuman mammals have metacognition. If correct, the results indicate some animal minds are more complex than ordinarily presumed. However, some philosophers argue for a deflationary reading of metacognition experiments, suggesting that the results can be explained in first-order terms. We agree with the deflationary interpretation of the data but we argue that the metacognition research forces the need to recognize a heretofore underappreciated feature in the theory of animal minds, which we call Unity. The disparate mental states (...) of an animal must be unified if deflationary accounts of metacognition are to hold and untoward implications avoided. Furthermore, once Unity is acknowledged, the deflationary interpretation of the experiments reveals an elevated moral standing for the nonhumans in question. (shrink)

Charles Darwin and C. Lloyd Morgan forward two influential principles of cognitive ethological inference that yield conflicting results about the extent of continuity in the cognitive traits of humans and other animals. While these principles have been interpreted as reflecting commitments to different senses of parsimony, in fact, both principles result from the same vera causa inferential strategy, according to which “We ought to admit no more causes of natural things, than such as are both true and sufficient to explain (...) their appearances”. Instead, the conflict stems from Darwin’s and Morgan’s views about the true causes of human psychology. Darwin holds a thoroughly Humean philosophy of the human mind, from which he infers significant continuity between human and animal minds. In contrast, Morgan argues that Humean cognitive mechanisms cannot account for a class of uniquely human behaviors, and therefore, he concludes that there is a significant discontinuity between human and animal cognition. This historical debate is informative for current controversies in comparative psychology. (shrink)

In this paper, I describe some strategies for teaching an introductory philosophy of science course to Science, Technology, Engineering, and Mathematics (STEM) students, with reference to my own experience teaching a philosophy of science course in the Fall of 2020. The most important strategy that I advocate is what I call the “Second Philosophy” approach, according to which instructors ought to emphasize that the problems that concern philosophers of science are not manufactured and imposed by philosophers from the outside, but (...) rather are ones that arise internally, during the practice of science itself. To justify this approach, I appeal to considerations from both educational research and the epistemology of testimony. In addition, I defend some distinctive learning goals that philosophy of science instructors ought to adopt when teaching STEM students, which include rectifying empirically well-documented shortcomings in students’ conceptions of the “scientific method” and the “nature of science.” Although my primary focus will be on teaching philosophy of science to STEM students, much of what I propose can be applied to non-philosophy majors generally. Ultimately, as I argue, a successful philosophy of science course for non-philosophy majors must be one that advances a student’s science education. The strategies that I describe and defend here are aimed at precisely that end. (shrink)

How should we determine the distribution of psychological traits—such as Theory of Mind, episodic memory, and metacognition—throughout the Animal kingdom? Researchers have long worried about the distorting effects of anthropomorphic bias on this comparative project. A purported corrective against this bias was offered as a cornerstone of comparative psychology by C. Lloyd Morgan in his famous “Canon”. Also dangerous, however, is a distinct bias that loads the deck against animal mentality: our tendency to tie the competence criteria for cognitive capacities (...) to an exaggerated sense of typical human performance. I dub this error “anthropofabulation”, since it combines anthropocentrism with confabulation about our own prowess. Anthropofabulation has long distorted the debate about animal minds, but it is a bias that has been little discussed and against which the Canon provides no protection. Luckily, there is a venerable corrective against anthropofabulation: a principle offered long ago by David Hume, which I call “Hume’s Dictum”. In this paper, I argue that Hume’s Dictum deserves a privileged place next to Morgan’s Canon in the methodology of comparative psychology, illustrating my point through a discussion of the debate over Theory of Mind in nonhuman animals. (shrink)

There is a diffuse sentiment that to anthropomorphize is a mild vice that people tend to do easily and pleasingly, but that an adult well educated person should avoid. In this paper it will be provided an elucidation of ``anthropomorphism'' in the field of common sense knowledge, the issue of animal rights, and about the use of humans as a model in the scientific explanation. It will be argued for a ``constructive anthropomorphism'', i.e., the idea that anthropomorphism is a natural (...) attutude to attribute human psychological features to other individuals, no matter they are actually rational agents, or not. If we know the ``grammar'' of this attutude, we can avoid the risks in overestimating the environmental inputs towards anthropomor­phism and, at the same time, take the heuristic advantages of anthropomor­phism in the use of human mind as a model for both everyday circumstances and scientific enterprise. (shrink)

Mindreaders can ascribe representational states to others. Some can ascribe representational states – states with semantic properties like accuracy-aptness. I argue that within this group of mindreaders, there is substantial room for variation – since mindreaders might differ with respect to the representational format they take representational states to have. Given that formats differ in their formal features and expressive power, the format one takes mental states to have will significantly affect the range of mental state attributions one can make, (...) and the ease or difficulty with which one can make them. I illustrate this by considering what it would be to take mental states to be map-like in format, showing that this would result in a distinctively limited form of mindreading. I close by articulating the significance of this for the emerging picture of great ape mindreading. (shrink)

Animal welfare scientists face an acute version of the problem of inductive risk, since they must choose whether to affirm attributions of mental states to animals in advisory contexts, knowing their decisions hold consequences for animal welfare. In such contexts, the burden of proof should be sensitive to the consequences of error, but a framework for setting appropriate burdens of proof is lacking. Through reflection on two cases—pain and cognitive enrichment—I arrive at a tentative framework based on the principle of (...) expected welfare maximization. I then discuss the limitations of this framework and the questions it leaves open. (shrink)

C. Lloyd Morgan is mostly known for Morgan’s canon, still a popular and frequently quoted principle in comparative psychology and ethology. There has been a fair amount of debate on the canon’s interpretation, function, and value regarding the research on animal minds, usually referring to it as an isolated principle. In this paper we rather shed light on Morgan’s overall scientific program and his vision for comparative psychology. We argue that within his program Morgan identified crucial conceptual, ontological, and methodical (...) issues, that are still fundamental to the current research on animal minds. This also highlights a new aspect of his role as one of the “founding fathers” of modern comparative psychology. In order to understand Morgan’s program, we briefly outline the historical context in which he began his work on a science of comparative psychology. We will then emphasize to what extent his taxonomy of psychological capacities, the development of his metaphysics for a comparative psychology, and his newly introduced interdisciplinary procedures justify Morgan’s distinctive approach to still rather sensitive issues. In doing so, we aim to provide a more comprehensive picture of Morgan’s methodological signature and we contend that a proper understanding of his canon can only be gained by taking it as part of this program. We finally understand his most renown considerations as part of his struggle to ascertain the limits and possibilities of the discipline he contributed to set up, and thus emphasize the need to keep the discussion going, notably on the accessibility of other minds than one’s own and on the limits of one’s research perspectives. (shrink)

We evaluate a common reasoning strategy used in community ecology and comparative psychology for selecting between competing hypotheses. This strategy labels one hypothesis as a “null” on the grounds of its simplicity and epistemically privileges it as accepted until rejected. We argue that this strategy is unjustified. The asymmetrical treatment of statistical null hypotheses is justified through the experimental and mathematical contexts in which they are used, but these contexts are missing in the case of the “pseudo-null hypotheses” found in (...) our case studies. Moreover, statistical nulls are often not epistemically privileged in practice over their alternatives because failing to reject the null is usually a negative result about the alternative, experimental hypothesis. Scientists should eschew the appeal to pseudo-nulls. It is a rhetorical strategy that glosses over a commitment to valuing simplicity over other epistemic virtues in the name of good scientific and statistical methodology. (shrink)

The ability to use and make technical artifacts has been considered exclusive to human beings. However, recent findings in ethology in light of observations made in nature and in laboratory show the opposite. In the area of philosophy of technology there are few exceptions that take into account the ability of some non-human animals to manufacture and use tools. In this paper I want to show some reasons to reconsider other possibilities. It seems that capacities such as intentionality, culture or (...) even the complexity of the structures of manufactured object are not exclusive to human beings. I will suggest a different way of analyzing objects created by non-human animals, one that tries to explain the gradualness of the structure, but also the plasticity of the behavior exhibited by non-human animals. These two elements allow a deeper understanding of the great variety of objects that other animals also manufacture and use. (shrink)

We examine the claim that the methodology of psychology leads to a bias in animal cognition research against attributing “anthropomorphic” properties to animals . This charge is examined in light of a debate on the role of folk psychology between primatologists who emphasize similarities between humans and other apes, and those who emphasize differences. We argue that while in practice there is sometimes bias, either in the formulation of the null hypothesis or in the preference of Type-II errors over Type-I (...) errors, the bias is not the result of proper use of the Neyman and Pearson hypothesis testing method. Psychologists’ preference for false negatives over false positives cannot justify a preference for avoiding anthropomorphic errors over anthropectic errors. (shrink)

In this paper, I describe grounds for dissatisfaction with certain aspects of the sciences of animal cognition and argue that a turn toward mathematical modeling of animal cognition is warranted. I consider some objections to this call and argue that the implications of such a turn are not as drastic for ordinary, commonsense understanding of animal minds as they might seem.

Recently, many philosophers have been inclined to ascribe mentality to animals on the main grounds that they possess certain complex computational abilities. In this paper I contend that this view is misleading, since it wrongly assumes that those computational abilities demand a psychological explanation. On the contrary, they can be just characterised from a computational level of explanation, which picks up a domain of computation and information processing that is common to many computing systems but is autonomous from the domain (...) of psychology. Thus, I propose that it is possible to conceive insects and other animals as mere computing agents, without having any commitment to ascribe mentality to them. I conclude by sketching a proposal about how to draw the line between mere computing and genuine mentality. (shrink)

Physical cognition involves a host of cognitive abilities that enable understanding and manipulation of the physical world. Corvids, the bird family that includes crows, ravens and jays, are renowned for their cognitive abilities, but still little is known about their folk physics. This thesis explores the origins of physical cognition in corvids by investigating its mechanisms, development,fitness value and phylogeny in a wide context that includes theoretical and empirical studies.String pulling is a valuable paradigm for addressing these questions. Many animals (...) can pull a string with food attached to its end, but uncovering the cognitive abilities involved in this behaviour requires further testing. Paper I reviews the string-pulling paradigm, which is one of the oldest tests of animal cognition.It is a highly suitable test for species comparisons, socio-ecological correlations, and phylogenetic questions. Paper II tests several corvids, apes and peafowl on a string-pulling task where the first pulls do not result in the food moving closer. Despite the absence of such visual feedback, most subjects pulled strings in completely, although corvids appeared to choose randomly.Tool use is the archetypical example of physical cognition. Many corvids are remarkably adept at using tools in experimental settings. Paper III reviews animal tool use in general. It is now clear that customary tool-using species do not necessarily outperform their non-tool-using relatives on tests of physical cognition. For corvids that frequently use tools in the wild, such as New Caledonian crows and‘Alalā, tool use appears to have a significant fitness value and may have resulted in morphological adaptations. Paper IV describes a novel tool-use mode in New Caledonian crows. They inserted sticks into objects and then moved away,thereby transporting both. One crow could not grasp the target object, which suggests that such insert-and-transport tool use facilitates control over unwieldy objects. Paper V briefly argues that some corvids have shown the ability to make novel causal interventions, although this question should be addressed in a clearer theoretical framework that makes testable predictions.Sensorimotor cognition is a set of fundamental cognitive abilities that enables the integration of sensory and motor information into practical behaviour. It underlies much of corvid physical cognition. Paper VI investigates the development of sensorimotor cognition in ravens. Their skills developed rapidly and exceeded those of some mammals. They reached the same final sensorimotor stage as great apes, albeit at a markedly accelerated rate. The propensity of corvids to cache objects was investigated in Paper VII. Ravens, which often cache food,frequently cached objects, but surprisingly at similar rates as non-food-caching jackdaws. New Caledonian crows mostly cached objects that resembled functional tools.Anthropomorphism is the attribution of human traits to animals. Fear of mistakenly anthropomorphising animals has resulted in biased principles and an uneven burden of proof, which may hinder scientific progress more than it is supposed to offer protection against making mistakes. Cognitive zoology should not be misguided by overcompensating for such potential pitfalls. (shrink)

This chapter addresses the extent to which nonhuman animals are conscious. Most important perhaps is what criteria should be used in making such a determination.

Behavioural flexibility is often treated as the gold standard of evidence for more sophisticated or complex forms of animal cognition, such as planning, metacognition and mindreading. However, the evidential link between behavioural flexibility and complex cognition has not been explicitly or systematically defended. Such a defence is particularly pressing because observed flexible behaviours can frequently be explained by putatively simpler cognitive mechanisms. This leaves complex cognition hypotheses open to ‘deflationary’ challenges that are accorded greater evidential weight precisely because they offer (...) putatively simpler explanations of equal explanatory power. This paper challenges the blanket preference for simpler explanations, and shows that once this preference is dispensed with, and the full spectrum of evidence—including evolutionary, ecological and phylogenetic data—is accorded its proper weight, an argument in support of the prevailing assumption that behavioural flexibility can serve as evidence for complex cognitive mechanisms may begin to take shape. An adaptive model of cognitive-behavioural evolution is proposed, according to which the existence of convergent trait–environment clusters in phylogenetically disparate lineages may serve as evidence for the same trait–environment clusters in other lineages. This, in turn, could permit inferences of cognitive complexity in cases of experimental underdetermination, thereby placing the common view that behavioural flexibility can serve as evidence for complex cognition on firmer grounds. (shrink)