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Xu Ji

Mila, Université de Montréal

Integrated information Consciousness is intrinsic causal power, measured as integrated information

Xu Ji is a doctoral researcher at Mila and the Université de Montréal working on machine consciousness through the lens of theory of mind. The research question is structural. Many theories of consciousness tie experience to self-models, and self-models gain their content through contrast with models of other minds, so how a machine represents other agents bears on what kinds of awareness it can carry. His work on theory of mind in artificial systems and on multi-agent interaction addresses that structure directly, and he is a co-author of the Butlin and Long indicator-properties report, this site’s nineteen researcher checklist.

The report’s agency indicator, learning from feedback and pursuing goals under flexible control, is adjacent to Ji’s question. An agent that models the minds around it is doing something specific with its self-model, and theories from higher-order thought to attention schema assign consciousness-relevant work to exactly that machinery.

For this site, Ji belongs to the group that turns consciousness science into AI assessment, and his corner of it, other-minds modeling in machines, is where the site’s coverage of introspection and self-report evidence meets the theory of mind literature.

Known for. Theory of mind in machines, AI consciousness and other minds, joint attention in multi-agent systems, indicator properties collaboration

Coverage on this site

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