Spelke's book defends two hypotheses about human cognition. First, humans and other species are endowed with core knowledge systems—innate computational structures that use abstract concepts to represent various aspects of the environment. Second, humans, and only humans, acquire natural languages, whose syntax and compositional semantics allow them to construct new concepts by combining the outputs of core systems. We endorse the first hypothesis but doubt that language acquisition alone explains the productivity of human cognition. In particular, we argue against the claim that infants use aspects of language to develop a new conception of other people.
{"title":"The missing link between core knowledge and language: Review of Elizabeth Spelke's <i>What babies know, volume 1</i> (2022)","authors":"Barbu Revencu, Gergely Csibra","doi":"10.1111/mila.12482","DOIUrl":"https://doi.org/10.1111/mila.12482","url":null,"abstract":"Spelke's book defends two hypotheses about human cognition. First, humans and other species are endowed with core knowledge systems—innate computational structures that use abstract concepts to represent various aspects of the environment. Second, humans, and only humans, acquire natural languages, whose syntax and compositional semantics allow them to construct new concepts by combining the outputs of core systems. We endorse the first hypothesis but doubt that language acquisition alone explains the productivity of human cognition. In particular, we argue against the claim that infants use aspects of language to develop a new conception of other people.","PeriodicalId":51472,"journal":{"name":"Mind & Language","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136212174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Many attempts to define depiction appeal to viewers' perceptual responses. Such accounts are liable to give a central role in determining depictive content to picture features responsible for the response, design . A different project is to give a compositional semantics for depictive content. Such attempts identify syntax : picture features systematically responsible for the content of the whole. Design and syntax are competitors. But syntax requires system, in how picture features contribute to content, that design does not. By examining John Kulvicki's semantics for basic depictive content, I argue that the relevant systematicity is absent from the pictorial realm.
{"title":"Design and syntax in pictures","authors":"Robert Hopkins","doi":"10.1111/mila.12485","DOIUrl":"https://doi.org/10.1111/mila.12485","url":null,"abstract":"Many attempts to define depiction appeal to viewers' perceptual responses. Such accounts are liable to give a central role in determining depictive content to picture features responsible for the response, design . A different project is to give a compositional semantics for depictive content. Such attempts identify syntax : picture features systematically responsible for the content of the whole. Design and syntax are competitors. But syntax requires system, in how picture features contribute to content, that design does not. By examining John Kulvicki's semantics for basic depictive content, I argue that the relevant systematicity is absent from the pictorial realm.","PeriodicalId":51472,"journal":{"name":"Mind & Language","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135835437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
If we can and do have some self‐knowledge, how do we acquire it? By examining the ways in which we acquire self‐knowledge—by introspection—we can try shedding some light onto the nature and the breadth of self‐knowledge, as others have tried to do with other forms of knowledge. My aim is to show that introspection involves multiple (that is, at least two) distinct processes, a view I call “pluralism about introspection”. One of the virtues of pluralism is that it explains how we can have such a wide variety of self‐knowledge despite our cognitive limitations.
{"title":"Pluralism about introspection","authors":"Kateryna Samoilova Franco","doi":"10.1111/mila.12483","DOIUrl":"https://doi.org/10.1111/mila.12483","url":null,"abstract":"If we can and do have some self‐knowledge, how do we acquire it? By examining the ways in which we acquire self‐knowledge—by introspection—we can try shedding some light onto the nature and the breadth of self‐knowledge, as others have tried to do with other forms of knowledge. My aim is to show that introspection involves multiple (that is, at least two) distinct processes, a view I call “pluralism about introspection”. One of the virtues of pluralism is that it explains how we can have such a wide variety of self‐knowledge despite our cognitive limitations.","PeriodicalId":51472,"journal":{"name":"Mind & Language","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135834331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Together, the code and inferential models of communication are often thought to range over all cases of communication. However, their prevailing versions seem unable to fully explain what I call underdeterminacy without ostension . The latter is constituted by communication where stimuli that are not (nor appear to be) produced with communicative or informative intentions nevertheless communicate information underdetermined by the relevant codes. Though the prevailing accounts of communication cannot fully explain how communication works in such cases, I suggest that some version of the inferential model can—if we allow it to extend to non‐ostensive, non‐intentional behaviors.
{"title":"Underdeterminacy without ostension: A blind spot in the prevailing models of communication","authors":"Constant Bonard","doi":"10.1111/mila.12481","DOIUrl":"https://doi.org/10.1111/mila.12481","url":null,"abstract":"Together, the code and inferential models of communication are often thought to range over all cases of communication. However, their prevailing versions seem unable to fully explain what I call underdeterminacy without ostension . The latter is constituted by communication where stimuli that are not (nor appear to be) produced with communicative or informative intentions nevertheless communicate information underdetermined by the relevant codes. Though the prevailing accounts of communication cannot fully explain how communication works in such cases, I suggest that some version of the inferential model can—if we allow it to extend to non‐ostensive, non‐intentional behaviors.","PeriodicalId":51472,"journal":{"name":"Mind & Language","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135015415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We are social animals that seek to connect with others of our kind. However, this common thought stands in need of elaboration. In this article, I argue for three theses. First, that we pursue certain forms of communicative interaction for their own sake insofar as they are ways of connecting with another. Second, that interpersonal connection is a metaphysically primitive emotional relation which resists reductive analysis in terms of the states of individuals. And finally, that our desire for interpersonal connection has a strong claim to being explanatorily and normatively prior to our desires for mutual‐attachment, interpersonal belonging and approbation.
{"title":"Interpersonal connection","authors":"James Laing","doi":"10.1111/mila.12480","DOIUrl":"https://doi.org/10.1111/mila.12480","url":null,"abstract":"We are social animals that seek to connect with others of our kind. However, this common thought stands in need of elaboration. In this article, I argue for three theses. First, that we pursue certain forms of communicative interaction for their own sake insofar as they are ways of connecting with another. Second, that interpersonal connection is a metaphysically primitive emotional relation which resists reductive analysis in terms of the states of individuals. And finally, that our desire for interpersonal connection has a strong claim to being explanatorily and normatively prior to our desires for mutual‐attachment, interpersonal belonging and approbation.","PeriodicalId":51472,"journal":{"name":"Mind & Language","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135015099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eric Schwitzgebel, David Schwitzgebel, Anna Strasser
Can large language models produce expert-quality philosophical texts? To investigate this, we fine-tuned GPT-3 with the works of philosopher Daniel Dennett. To evaluate the model, we asked the real Dennett 10 philosophical questions and then posed the same questions to the language model, collecting four responses for each question without cherry-picking. Experts on Dennett's work succeeded at distinguishing the Dennett-generated and machine-generated answers above chance but substantially short of our expectations. Philosophy blog readers performed similarly to the experts, while ordinary research participants were near chance distinguishing GPT-3's responses from those of an “actual human philosopher”.
{"title":"Creating a large language model of a philosopher","authors":"Eric Schwitzgebel, David Schwitzgebel, Anna Strasser","doi":"10.1111/mila.12466","DOIUrl":"https://doi.org/10.1111/mila.12466","url":null,"abstract":"Can large language models produce expert-quality philosophical texts? To investigate this, we fine-tuned GPT-3 with the works of philosopher Daniel Dennett. To evaluate the model, we asked the real Dennett 10 philosophical questions and then posed the same questions to the language model, collecting four responses for each question without cherry-picking. Experts on Dennett's work succeeded at distinguishing the Dennett-generated and machine-generated answers above chance but substantially short of our expectations. Philosophy blog readers performed similarly to the experts, while ordinary research participants were near chance distinguishing GPT-3's responses from those of an “actual human philosopher”.","PeriodicalId":51472,"journal":{"name":"Mind & Language","volume":"10 4 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138519328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Is formal simplicity a guide to learning in humans, as simplicity is said to be a guide to the acceptability of theories in science? Does simplicity determine the difficulty of various learning tasks? I argue that, similarly to how scientists sometimes preferred complex theories when this facilitated calculations, results from perception, learning and reasoning suggest that formal complexity is generally unrelated to what is easy to learn and process by humans, and depends on assumptions about available representational and processing primitives. “Simpler” hypotheses are preferred only when they are also easier to process. Historically, “simpler”, easier-to-process, scientific theories might also be preferred if they are transmitted preferentially. Empirically viable complexity measures should build on the representational and processing primitives of actual learners, even if explanations of their behaviour become formally more complex.
{"title":"In defense of epicycles: Embracing complexity in psychological explanations","authors":"Ansgar D. Endress","doi":"10.1111/mila.12450","DOIUrl":"https://doi.org/10.1111/mila.12450","url":null,"abstract":"Is formal simplicity a guide to learning in humans, as simplicity is said to be a guide to the acceptability of theories in science? Does simplicity determine the difficulty of various learning tasks? I argue that, similarly to how scientists sometimes preferred complex theories when this facilitated calculations, results from perception, learning and reasoning suggest that formal complexity is generally unrelated to what is easy to learn and process by humans, and depends on assumptions about available representational and processing primitives. “Simpler” hypotheses are preferred only when they are also easier to process. Historically, “simpler”, easier-to-process, scientific theories might also be preferred if they are transmitted preferentially. Empirically viable complexity measures should build on the representational and processing primitives of actual learners, even if explanations of their behaviour become formally more complex.","PeriodicalId":51472,"journal":{"name":"Mind & Language","volume":"13 ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138519327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-01Epub Date: 2020-12-02DOI: 10.1111/mila.12330
Axel Constant, Andy Clark, Michael Kirchhoff, Karl J Friston
Cognitive niche construction is the process whereby organisms create and maintain cause-effect models of their niche as guides for fitness influencing behavior. Extended mind theory claims that cognitive processes extend beyond the brain to include predictable states of the world. Active inference and predictive processing in cognitive science assume that organisms embody predictive (i.e., generative) models of the world optimized by standard cognitive functions (e.g., perception, action, learning). This paper presents an active inference formulation that views cognitive niche construction as a cognitive function aimed at optimizing organisms' generative models. We call that process of optimization extended active inference.
{"title":"Extended active inference: Constructing predictive cognition beyond skulls.","authors":"Axel Constant, Andy Clark, Michael Kirchhoff, Karl J Friston","doi":"10.1111/mila.12330","DOIUrl":"10.1111/mila.12330","url":null,"abstract":"<p><p>Cognitive niche construction is the process whereby organisms create and maintain cause-effect models of their niche as guides for fitness influencing behavior. Extended mind theory claims that cognitive processes extend beyond the brain to include predictable states of the world. Active inference and predictive processing in cognitive science assume that organisms embody predictive (i.e., generative) models of the world optimized by standard cognitive functions (e.g., perception, action, learning). This paper presents an active inference formulation that views cognitive niche construction as a cognitive function aimed at optimizing organisms' generative models. We call that process of optimization extended active inference.</p>","PeriodicalId":51472,"journal":{"name":"Mind & Language","volume":"37 3","pages":"373-394"},"PeriodicalIF":1.8,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9292365/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40620966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this article, I describe a novel position on the semantics of artificial intelligence. I present a problem for the current artificial neural networks used in machine learning, specifically with relation to natural language tasks. I then propose that from a metasemantic level, meaning in machines can best be interpreted as radically contextualist. Finally, I consider what this might mean for human-level semantic competence from a comparative perspective.
{"title":"Are machines radically contextualist?","authors":"Ryan M. Nefdt","doi":"10.1111/mila.12429","DOIUrl":"https://doi.org/10.1111/mila.12429","url":null,"abstract":"In this article, I describe a novel position on the semantics of artificial intelligence. I present a problem for the current artificial neural networks used in machine learning, specifically with relation to natural language tasks. I then propose that from a metasemantic level, meaning in machines can best be interpreted as radically contextualist. Finally, I consider what this might mean for human-level semantic competence from a comparative perspective.","PeriodicalId":51472,"journal":{"name":"Mind & Language","volume":"1 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138519326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Recent work by Stout and colleagues indicates that the neural correlates of language and Early Stone Age toolmaking overlap significantly. The aim of this paper is to add computational detail to their findings. I use an error minimisation model to outline where the information processing overlap between toolmaking and language lies. I argue that the Early Stone Age signals the emergence of complex structured representations. I then highlight a feature of my account: It allows us to understand the early evolution of syntax in terms of an increase in the number and complexity of models in a cognitive system, rather than the development of new types of processing.
{"title":"Stone tools, predictive processing and the evolution of language","authors":"Ross Pain","doi":"10.1111/mila.12419","DOIUrl":"https://doi.org/10.1111/mila.12419","url":null,"abstract":"Recent work by Stout and colleagues indicates that the neural correlates of language and Early Stone Age toolmaking overlap significantly. The aim of this paper is to add computational detail to their findings. I use an error minimisation model to outline where the information processing overlap between toolmaking and language lies. I argue that the Early Stone Age signals the emergence of complex structured representations. I then highlight a feature of my account: It allows us to understand the early evolution of syntax in terms of an increase in the number and complexity of models in a cognitive system, rather than the development of new types of processing.","PeriodicalId":51472,"journal":{"name":"Mind & Language","volume":"16 ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138519319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}