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Abstract

The study of introspection has, up until now, been predominantly human-centric, with regrettably little attention devoted to the question of whether introspection might exist in non-humans, such as animals and artificial intelligence (AI), and what distinct forms it might take. In their target article, Kammerer and Frankish (this issue) aim to address this oversight by offering a non-anthropocentric framework for understanding introspection that could be used to address these questions. However, their discussions on introspection in animals and AIs were quite brief. In this commentary, we will build on their suggestions to offer some methodological guidance for how future research into introspection in animals and AIs might proceed.

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... In our pursuit of defining the concept of introspection, our approach is closely related to the research programme proposed by Kammerer and Frankish (2023), which opens the application of the concept of introspection to nonhuman entities including artificial systems and animals. Browning and Veit (2023) refined this approach by proposing a focus on the intended design of the system to assess its introspection-like capabilities. They illustrated this by hypothesising that robots with social goals may need to introspect about their own internal states in order to understand the human beings they interact with. ...
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Large language models (LLMs) exhibit compelling linguistic behaviour, and sometimes offer self-reports, that is to say statements about their own nature, inner workings, or behaviour. In humans, such reports are often attributed to a faculty of introspection and are typically linked to consciousness. This raises the question of how to interpret self-reports produced by LLMs, given their increasing linguistic fluency and cognitive capabilities. To what extent (if any) can the concept of introspection be meaningfully applied to LLMs? Here, we present and critique two examples of apparent introspective self-report from LLMs. In the first example, an LLM attempts to describe the process behind its own ``creative'' writing, and we argue this is not a valid example of introspection. In the second example, an LLM correctly infers the value of its own temperature parameter, and we argue that this can be legitimately considered a minimal example of introspection, albeit one that is (presumably) not accompanied by conscious experience.
... I also offer a summary of the core arguments of the book and assess whether we have reached the goals I set out to meet in the first chapter. Finally, the book ends with further reflections on how the pathological complexity framework could be refined, how we can use it to improve animal welfare, and even how animal minds research may help us to understand AI minds in the future (see also Browning & Veit, 2023). Much work, of course, remains to be done and I hope that the book can help us to take the first steps towards a true Darwinian study of consciousness in which animal cognition researchers and cognitive ethologists come to uncover the subjective worlds of the animals we share this planet with. ...
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A Philosophy for the Science of Animal Consciousness aims to advance Donald Griffin’s vision of the “final, crowning chapter of the Darwinian revolution” by firmly integrating animals within the science of consciousness. Although this field has largely neglected the questions of when and why consciousness evolved, this book champions a Darwinian philosophy where the experiences of other animals are put centre-stage in investigations of consciousness. This synopsis offers a summary of the book’s core arguments for the advancement of a truly biological science of consciousness. This approach allows for an empirically rigorous investigation into what it is like to be a bat, a crow, a bee, or an octopus.
... This concept may require introspective capacities, and may thus surprisingly be applied to non-human animals and AIs(Browning and Veit 2023).3 Unsurprisingly, philosophers have been among those who have criticized the rational choice axiom of transitive preferences early on(Schumm 1987). ...
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This article introduces and defends the “pathological complexity thesis” as a hypothesis about the evolutionary origins of minimal consciousness, or sentience, that connects the study of animal consciousness closely with work in behavioral ecology and evolutionary biology. I argue that consciousness is an adaptive solution to a design problem that led to the extinction of complex multicellular animal life following the Avalon explosion and that was subsequently solved during the Cambrian explosion. This is the economic trade-off problem of having to deal with a complex body with high degrees of freedom, what I call “pathological complexity.” By modeling the explosion of this computational complexity using the resources of state-based behavioral and life history theory we will be able to provide an evolutionary bottom-up framework to make sense of subjective experience and its function in nature by paying close attention to the ecological lifestyles of different animals.
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Deep neural networks (DNNs) have found many useful applications in recent years. Of particular interest have been those instances where their successes imitate human cognition and many consider artificial intelligences to offer a lens for understanding human intelligence. Here, we criticize the underlying conflation between the predictive and explanatory power of DNNs by examining the goals of modeling.
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We propose a new approach to the study of introspection. Instead of asking what form introspection actually takes in humans or other animals, we ask what forms it could take, in natural or artificial minds. What are the dimensions along which forms of introspection could vary? This is a relatively unexplored question, but it is one that has the potential to open new avenues of study and reveal new connections between existing ones. It may, for example, focus attention on possible forms of introspection radically different from the human one and help to integrate competing theories of human introspection in a non-adversarial manner. We introduce and motivate the project, provide a preliminary mapping of the space of possible forms of introspection, and sketch a programme for interdisciplinary research on the topic.
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Metacognition is the ability to monitor and control one’s cognition. Monitoring may involve either public cues or introspection of private cognitive states. We tested rhesus monkeys (Macaca mulatta) in a series of generalization tests to determine which type of cues control metacognition. In Experiment 1, monkeys learned a perceptual discrimination in which a “decline-test” response allowed them to avoid tests and receive a guaranteed small reward. Monkeys declined more difficult than easy tests. In Experiments 2-4, we evaluated whether monkeys generalized this metacognitive responding to new perceptual tests. Monkeys showed a trend toward generalization in Experiments 2 & 3, and reliable generalization in Experiment 4. In Experiments 5 & 6, we presented the decline-test response in a delayed matching-to-sample task. Memory tests differed from perceptual tests in that the appearance of the test display could not control metacognitive responding. In Experiment 6, monkeys made prospective metamemory judgments before seeing the tests. Generalization across perceptual tests with different visual properties and mixed generalization from perceptual to memory tests provide provisional evidence that domain-general, private cues controlled metacognition in some monkeys. We observed individual differences in generalization, suggesting that monkeys differ in use of public and private metacognitive cues.
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The extent to which nonhuman animals can learn actual human language is a controversial question, but many nonhuman species have acquired elements of a two-way communication system that is, and was, sophisticated enough to enable its use in evaluating cognitive capacities. This article is a personal view of the history of these animal language studies.
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The chimpanzee as a subject. Some discussion of the chimpanzee as an experimental subject is in order because this species is relatively uncommon in the psychological laboratory. Whether or not the chimpanzee is the most in- telligent animal after man can be dis- puted; the gorilla, the orangutan, and even the dolphin have their loyal par- tisans in this debate. Nevertheless, it is generally conceded that chimpanzees are highly intelligent, and that mem- bers of this species might be intelligent enough for our purposes. Of equal or greater importance is their sociability and their capacity for forming strong attachments to human beings. We want to emphasize this trait of sociability; it seems highly likely that it is essential for the development of language in human beings, and it was a primary consideration in our choice of a chim- panzee as a subject.
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The intentional stance is the strategy of prediction and explanation that attributes beliefs, desires, and other “intentional” states to systems – living and nonliving – and predicts future behavior from what it would be rational for an agent to do, given those beliefs and desires. Any system whose performance can be thus predicted and explained is an intentional system, whatever its innards. The strategy of treating parts of the world as intentional systems is the foundation of “folk psychology,” but is also exploited (and is virtually unavoidable) in artificial intelligence and cognitive science more generally, as well as in evolutionary theory. An analysis of the role of the intentional stance and its presuppositions supports a naturalistic theory of mental states and events, their content or intentionality, and the relation between “mentalistic” levels of explanation and neurophysiological or mechanistic levels of explanation. As such, the analysis of the intentional stance grounds a theory of the mind and its relation to the body.
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The possibility that memory awareness occurs in nonhuman animals has been evaluated by providing opportunity to decline memory tests. Current evidence suggests that rhesus monkeys (Macaca mulatta) selectively decline tests when memory is weak (Hampton in Proc Natl Acad Sci USA 98:5359-5362, 2001; Smith et al. in Behav Brain Sci 26:317-374, 2003). However, much of the existing research in nonhuman metacognition is subject to the criticism that, after considerable training on one test type, subjects learn to decline difficult trials based on associative learning of external test-specific contingencies rather than by evaluating the private status of memory or other cognitive states. We evaluated whether such test-specific associations could account for performance by presenting monkeys with a series of generalization tests across which no single association with external stimuli was likely to adaptively control use of the decline response. Six monkeys performed a four alternative delayed matching to location task and were significantly more accurate on trials with a decline option available than on trials without it, indicating that subjects selectively declined tests when memory was weak. Monkeys transferred appropriate use of the decline response under three conditions that assessed generalization: two tests that weakened memory and one test that enhanced memory in a novel way. Bidirectional generalization indicates that use of the decline response by monkeys is not controlled by specific external stimuli but is rather a flexible behavior based on a private assessment of memory.
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A female lowland gorilla, Koko, has been engaged in an ongoing language program since July 1972 when she was 1 year old. During the first 30 months of training she acquired a vocabulary of 100 words in American Sign Language which she spontaneously combined into meaningful and often novel statements of up to 11 signs in length. The gorilla is using a rapidly expanding vocabulary of signs to express semantic and possibly grammatical relations similar to those expressed by human children in the early stages of language acquisition. Patterns of generalization, gradual increase in mean length of utterance, and innovative use of gestural language are discussed in relation to data available on children and chimpanzees.
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Using a novel pharmacological conditioning procedure, pigs were conditioned to discriminate the effects of a subconvulsant dose of the anxiogenic drug pentylenetetrazole (PTZ; 2.8-10 mg/kg, i.v.) from saline. The operant chamber provided two levers at which pigs were trained to press at a fixed ratio of 20 presses per food reward (FR 20). The animals were conditioned to select both levers alternately following saline treatment and to select one lever only following PTZ treatment. This procedure enabled the onset and offset of the PTZ stimulus to be detected within single test sessions; infusion of PTZ to animals already selecting both levers alternately after a saline pretreatment induced a period of response exclusive to the PTZ lever followed by a return to an alternation of lever selection response. The ability of the novel procedure to detect the time course of the drug cue should improve future evaluations of the psychological states induced by centrally acting drugs. With PTZ as the training drug, the novel procedure presents a valuable means to study the neurobiology of anxiety.
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As a consequence of domestication, dogs have a special readiness for communication with humans. We here investigate whether a dog might be able to acquire and consistently produce a set of arbitrary signs in her communication with humans, as was demonstrated in "linguistic" individuals of several species. A female mongrel dog was submitted to a training schedule in which, after basic command training and after acquiring the verbal labels of rewarding objects or activities, she learned to ask for such objects or activities by selecting lexigrams and pressing keys on a keyboard. Systematic records taken during spontaneous interaction with one of the experimenters showed that lexigrams were used in an appropriate, intentional way, in accordance with the immediate motivational context. The dog only utilized the keyboard in the experimenter's presence and gazed to him more frequently after key pressing than before, an indication that lexigram use did have communicative content. Results suggest that dogs may be able to learn a conventional system of signs associated to specific objects and activities, functionally analogous to spontaneous soliciting behaviors and point to the potential fruitfulness of the keyboard/lexigram procedure for studying dog communication and cognition. This is the first report to systematically analyze the learning of arbitrary sign production in dogs.
Next of Kin: My Conversations with Chimpanzees
  • R Fouts
  • S Mills
Fouts, R. & Mills, S. (1997) Next of Kin: My Conversations with Chimpanzees, New York: Avon Books.
Can insects feel pain? A review of the neural and behavioural evidence
  • M Gibbons
  • A Crump
  • M Barrett
  • S Sarlak
  • J Birch
  • L Chittka
Gibbons, M., Crump, A., Barrett, M., Sarlak, S., Birch, J. & Chittka, L. (2022) Can insects feel pain? A review of the neural and behavioural evidence, in Jurenka, R. (ed.) Advances in Insect Physiology, vol. 63, pp. 155-229, Amsterdam: Elsevier.
How Stella Learned to Talk: The Groundbreaking Story of the World's First Talking Dog
  • C Hunger
Hunger, C. (2021) How Stella Learned to Talk: The Groundbreaking Story of the World's First Talking Dog, New York: William Morrow.
Language' and Intelligence in Monkeys and Apes: Comparative Developmental Perspectives
  • H L W Miles
Miles, H.L.W. (1990) The cognitive foundations for reference in a signing orangetan, in Taylor Parker, S. & Gibson, K.R. (eds.) 'Language' and Intelligence in Monkeys and Apes: Comparative Developmental Perspectives, pp. 511-539, Cambridge: Cambridge University Press.
Language Learning by a Chimpanzee: The Lana Project
  • D M Rumbaugh
Rumbaugh, D.M. (1977) Language Learning by a Chimpanzee: The Lana Project, New York: Academic Press.