PhilArchive
open access
Fare e funzionare. Sull'analogia di robot e organismo
In this essay I try to determine the extent to which it is possible to conceive robots and organisms as analogous entities. After a cursory preamble on the long history of epistemological connections between machines and organisms I focus on Norbert Wiener’s cybernetics, where the analogy between modern machines and organisms is introduced most explicitly. The analysis of issues pertaining to the cybernetic interpretation of the analogy serves then as a basis for a critical assessment of its reprise in contemporary robotics and AI, where the line between organisms and technologies gets even more blurred. In brief, I argue for the necessity of defining the extent to which the analogy between robots and organisms applies in order not only to harness its heuristic potential, but also to keep track of the pivotal differences that distinguish the two classes of entities. Finally, I discuss how the ordinary use of language and the peculiar status of the idea of robot obstruct awareness of the differences between robots and organisms.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- The Constitution of Objects by Systems#772894
- Man and AI: The Cytological Matrix of Autonomy: Speech, Craft, and Art as Evolutionary Foundations of Human Self-Determination#692875
- Post-AI Ontology and the Post-Reflective: Condition A Deductive Theory on the Radicalization of Postmodernism#705454
- Stop Comparing Human and Artificial Intelligence: AI as an Epistemic and Pragmatic Enabler, Not a Cognitive Imitator#699514
- Searching for Beetles in Empty Boxes: Why the argument for AI consciousness is a waste of time#99701
Record · ID 734557
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive