Mercier and Sperber (MS) have ventured to undermine an age-old assumption in logic, namely the presence of premise-conclusion structures, in favor of two novel claims: that reasoning is an evolutionary product of a reason-intuiting module in the mind, and that theories of logic teach next to nothing about the mechanisms of how inferences are drawn in that module. The present paper begs to differ: logic is indispensable in formulating conceptions of cognitive elements of reasoning, and MS is no less exempt (...) from taking notice of premise-conclusion structures than the commonplace theories of reasoning are. Our counterclaim is realized in terms of diagrammatic reasoning dating back to Charles Peirce’s pragmaticism. The upshot is that pragmatist logic restores the premise-conclusion structures in argumentation, supplants reason-intuition module with logical content, and validates good reasoning as an indispensable resource evident to all rational minds that claim ownership of reason and understanding. (shrink)

The present online volume contains the papers prepared for the 11th Budapest Visual Learning Conference – ENVISIONING AN ELECTRIFYING FUTURE – held in a physical-online blended form on Nov. 13, 2024, organized by the University of Pécs (represented by Prof. Gábor Szécsi, Dean, Faculty of Cultural Sciences, Education and Regional Development), and the Hungarian Academy of Sciences (represented by Prof. Kristóf Nyíri, Member of the Hungarian Academy of Sciences). Nyíri and Szécsi were responsible for sending out the call for abstracts (...) and inviting plenary speakers, Szécsi organized the physical surroundings. Nyíri’s task was to build up and continuosly update the conference website, as well as to edit the accepted submissions. As we indicated in the call for submissions, the conference was planned as an interdisciplinary encounter of communication and media theory, cultural sciences, sociology, psychology, philosophy, pedagogy, history, political science, picture theory, and other disciplines. We insisted on achieving new scholarly results. Especially with AI now complementing, or intruding into, the world of the internet, what image of the future can we conceive of, what new patterns of life and in particular forms of education should we strive to create? (shrink)

This paper explores the challenges posed by the rapid advancement of artificial intelligence specifically Large Language Models (LLMs). I show that traditional linguistic theories and corpus studies are being outpaced by LLMs’ computational sophistication and low perplexity levels. In order to address these challenges, I suggest a focus on language as a cognitive tool shaped by embodied-environmental imperatives in the context of Agentive Cognitive Construction Grammar. To that end, I introduce an Embodied Human Language Model (EHLM), inspired by Active Inference (...) research, as a promising alternative that integrates sensory input, embodied representations, and adaptive strategies for contextualized analysis and conceptual utility maximization. By incorporating Active Inference, which sees perception as inferring the world's state from sensory data, the findings reveal that the characterization of the English modal be able to, as a triadic construction encoding biological intelligent agency, introduces a more plausible theoretical basis for the positing of linguistic constructions. This emphasizes the crucial role of embodied human language models in the comprehension of how humans construct preferred futures through language. (shrink)

This paper argues that human signification is governed by “agentive systems,” inspired by an extended framework that combines the Practical Logic of Cognitive Systems and Peircean semiotics. An agentive system encompasses both the efficient anticipation of resource utilization and the use of actual available resources, including bodily capacities in the form of embodied habits. These resources are allocated based on agendas (goals) pursued by human agents in their interactions with the environment. In this context, signification involves the meaning of actions (...) embedded within their agentive system, encompassing the agent performing the actions, the action’s goal or agenda, and the available resources, whether bodily (skills, abilities, capacities) or non-bodily (objects, signs). After presenting the general framework in which the concept of an agentive system is approached, I develop a proposal drawing on insights from Göran Sonesson’s reflections on the importance of sedimentation and Lifeworld for semiotics. This proposal highlights how the acquisition of embodied habits facilitates and promotes the significance of cultural products, while their deployment allows for the emergence of situated signification. (shrink)

This paper proposes to recover the topic of the philosophy of scientific method from its late nineteenth-century roots. The subject matter of scientific method sprouted from key inferential ingredients identified by Charles Peirce. In this paper, the historical path is traversed from the viewpoint of contemporary Cognitive Structural Realism (CSR). Peirce’s semiotic theory of methods and practices of scientific inquiry prefigured CSR’s reliance on embodied informational structures and experimentation upon forms of relations that model generic scientific domains. Three results are (...) shown to follow from this convocation: (i) a naturalization of Peirce’s interconnected abductive, deductive and inductive stages of the logic of science, here characterized de novo in terms of CSR. (ii) a perspective to scientific modeling that incorporates processes of abstraction and generalization as originated from Peirce’s logic of science, and (iii) diagrammatic reasoning as a pivotal method in analyzing scientific reasoning in experimental practices. (shrink)

This paper draws on the resources of computational neuroscience (an account of active inference under the free energy principle) to address Bas van Fraassen's bad lot objection to the inference to the best explanation (IBE). The general assumption of this paper is that IBE is a finessed form of active inferences that self-organising systems perform to maximise the chance of their survival. Under this assumption, the paper aims to establish the following points: first, the capacity to learn to perform explanatory (...) inferences comes with evolutionary privileges; second, adaptive actions guide beliefs and beliefs are action-oriented; and third, IBE is not inconsistent with (approximate) Bayesianism but plays a heuristic role to it. (shrink)

This paper develops a measure of realism from within the framework of cognitive structural realism (CSR). It argues that in the context of CSR, realism can be operationalised in terms of balance between accuracy and generality. More specifically, the paper draws on the free energy principle to characterise the measure of realism in terms of the balance between accuracy and generality.