Claudio Paolucci (Univ. de Bologne) — Séminaire International de Sémiotique à Paris (14/12/2022)

Claudio Paolucci (Univ. de Bologne) — Séminaire International de Sémiotique à Paris (14/12/2022)

Claudio Paolucci (Univ. of Bologna) — International Seminar of Semiotics in Paris (14/12/2022)

🎙 Claudio Paolucci 👥 178 📅 December 16, 2022 ⏱ 90 min 👁 152 📄 expert opinion 🧭 2026-10-09
Available in: English (current) Français

Keywords

perceptionimaginationdiagramspredictive codingsemiotics

Summary

Claudio Paolucci presents a seminar on perception as an inactive and diagrammatic process, arguing that perception is a form of controlled hallucination guided by imagination and constrained by sensory input. He draws on the predictive processing framework of Andy Clark and the semiotic theories of Peirce and Eco, particularly Eco’s analysis of the platypus as a problem of interpreting an unknown perceptual content. Paolucci connects Kant’s notion of schema as a product of imagination to Peirce’s concept of diagrams, showing how diagrams function as logical images that can be manipulated to reveal otherwise unperceivable properties. He illustrates this with the example of Marco Polo and the rhinoceros, and the scientific discovery of the platypus. The talk emphasizes that perception is not a passive representation but an active construction of the future, as exemplified by experiments on perceptual anticipation. He also discusses the role of narrative in perception, proposing that our expectations are structured like stories. Finally, he argues that understanding perception requires studying the laws of imagination, not just the brain.

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Critical Evaluation

Value of the Information & Strength of the Argument

The value of the information lies in its transdisciplinary synthesis: bridging continental semiotics (Peirce, Eco) with contemporary cognitive science (predictive processing). Paolucci successfully shows that the Bayesian brain hypothesis and Peircean diagrammatic reasoning converge on the idea that perception is an active, imaginative construction. He uses compelling examples (platypus, Marco Polo, the film Blow-Up) to illustrate abstract concepts, making the argument concrete and persuasive. The logical structure is clear: from the problem of unknown phenomena to the role of diagrams as cognitive filters, to the conclusion that perception anticipates the future via imagination. The argumentation is robust and demonstrates a deep understanding of both traditions, though some might find the link between semiotics and neuroscience somewhat speculative.

Scientific Rigor, Source Quality, Title Accuracy

The talk is rigorous in its citation of primary and secondary sources: it references Peirce, Eco, Kant, and Andy Clark explicitly, and also mentions specific experiments (e.g., by Adams and colleagues). The speaker distinguishes his own interpretation from common views, such as the idea that perception is inferential, which he rejects in favor of a diagrammatic-embodied approach. The title is adequate for a seminar announcement, but it does not communicate the specific topic; however, this is not a defect given the format. The overall scientific quality is high, though as a lecture it lacks the peer-review validation of a published paper.

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Title / Content Match

The title accurately identifies the speaker and the seminar series, but does not hint at the content, which focuses on perception, imagination, and diagrams. Neverthless, the title is appropriate for an academic seminar announcement.

Quality & Reliability

8/10

The speaker is a university professor (University of Bologna) presenting a research-informed talk with references to established scholars (Peirce, Eco, Kant, Andy Clark) and uses concrete examples. The talk is expert opinion rather than peer-reviewed, but the argumentation is coherent and well-supported.

Key Moments

Cited Sources

  • Charles Sanders Peirce — Peirce's theory of diagrams and perception is central to the talk.
  • Umberto Eco — Eco's work on the platypus and semiotics of perception is used to introduce the problem.
  • Immanuel Kant — Kant's notion of schema is reinterpreted through Peirce's diagrammatic reasoning.
  • Andy Clark — Clark's predictive processing theory provides the cognitive science framework.

Concurring Sources

  • Predictive processing literature (e.g., Clark, 2013) — The talk's claim that perception is a top-down constructive process aligns with predictive processing theories.

Contribution & Novelties

The talk’s original contribution is the explicit alignment of Peircean diagrammatic reasoning with contemporary predictive processing theories, arguing that imagination is the engine of perception and that diagrams (in a broad sense) are the medium through which the brain constructs percepts. This synthesis offers a fresh perspective on long-standing questions in semiotics and cognitive science.\n\nPour aller plus loin :\n- Predictive coding — Foundational theory in neuroscience explaining perception as prediction error minimization.\n- Diagrammatic reasoning — Peirce’s concept that reasoning through diagrams is fundamental to logic and cognition.\n- Immanuel Kant’s schema — Kant’s idea that schemata mediate between concepts and sensible intuition, relevant to the talk’s argument.\n- Charles Sanders Peirce — The philosopher-semiotician whose theories on signs and diagrams are central.\n- Bayesian brain — Modern cognitive science framework that treats perception as Bayesian inference, connected to predictive coding.

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Radar Profile

The radar profile shows very high quantity of information (9) and high quality (8), with a moderate technical level (7) and similar reliability (8). This indicates a dense, expert-level talk that is well-structured but requires some background knowledge to follow fully.

Reliability 8/10