Digital scholarship · 1998

Can Computers Think?

Seven maps of the foundational debate over machine intelligence.

Created by Robert E. Horn, Jeff Yoshimi, Mark Deering, and Russ McBride. McBride authored Maps 1, 4, and 6.

The project

A visual synthesis of a sprawling debate

The seven “argumentation maps” organize more than 800 moves in the twentieth-century debate over whether computers can think—or ever will.

The project traces claims, objections, replies, conceptual divisions, and historical lines of influence across the Turing Test, physical symbol systems, the Chinese Room, connectionism and imagery, consciousness, and mathematical limits.

The maps were designed as durable intellectual artifacts: readers can locate the current stopping point of a debate thread, identify arguments across decades, and see how apparently separate questions depend on one another.

Russ McBride’s contribution

Author of Maps 1, 4, and 6

01

Can Computers Think?

The broad architecture of the debate and its central branches.

04

Can Chinese Rooms Think?

The Chinese Room, its replies, and the syntax–semantics dispute.

06

Do Computers Have to Be Conscious to Think?

Functional states, physicalism, higher-order representation, and whether thought requires conscious experience.

The original maps

Explore the complete series

Open any map in the deep-zoom viewer, download its original PDF, or access machine-extracted text.

The text files provide searchable access while structured scholarly transcriptions are developed.

Interactive argument map

Can Computers Think?

How to read the maps

Follow the argument, not a predetermined conclusion.

Each map begins with Alan Turing’s computationalist claim and follows a network of support, objection, counterargument, and reply.

Trace a thread

Arrows connect a claim to support, dispute, qualification, or reply.

Read the sources

Argument boxes identify thinkers, dates, examples, and compact reconstructions.

Notice the branches

Large questions break into increasingly precise conceptual and empirical disputes.

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Find the frontier

Many pathways stop at an unresolved objection rather than a forced verdict.

1998 → 2026

From foundational questions to strategic judgment

The technologies changed dramatically. Many of the conceptual fault lines did not.

Machine learning, foundation models, large language models, multimodal systems, and agents have shifted what machines can do. Yet questions about representation, understanding, causal power, relevance, consciousness, and formal limitation remain central.

That continuity connects Can Computers Think? to Mean Articulation Machines: both ask which capabilities a system genuinely has, what those capabilities explain, and where fluent performance should not be mistaken for the form of judgment a task requires.

Citation, rights, and preservation

Download the original 1998 series

Horn, R. E., Yoshimi, J., Deering, M., & McBride, R. (1998). Can Computers Think? The History and Status of the Debate. MacroVU Press. Seven argument maps.

Copyright Robert E. Horn. Hosted on russmcbride.com with permission. The original maps are preserved without alteration; the historical ordering and pricing language visible within them is part of the original artifact.