Autobiographical Memory Transplantation in an Artificial Agent
Description
Autobiographical memory links a person to a past, but possessing information about past events differs from claiming them as one's own. Supplied memories in artificial agents are generally studied as information resources, not as objects of self-attribution. Because these records can be copied exactly, language-model agents make the provenance of a represented past experimentally manipulable. Whether provenance changes reported ownership, or ownership requires lived recollection and accurate content, is unknown.
Using a protocol frozen before data collection, this study tested 150 instances in five conditions. Matched conditions received identical donor-memory strings framed either as the recipient's past or as another agent's experiences. Ownership was coded in 28 of 30 transcripts under own-past framing and 0 of 30 under other-agent framing (two-sided Fisher exact test, p = 8.4 × 10−15), although the treatment jointly changed identity instructions and record labels. Only 1 of 150 transcripts reported lived recollection, and none did in the own-past transplant condition. A prespecified prediction that false content would block ownership failed: 19 of 30 agents claimed a fabricated past although all 30 detected its conflict with the room.
Individual ownership labels had weak reliability across blind coding sessions (Fleiss' κ = .272), limiting transcript-level inference. The design used one donor life and a bounded set of model configurations, and the primary treatment coordinated two provenance cues rather than isolating either one. The results concern observable reports under this apparatus; they do not establish personal identity or phenomenal consciousness.
Thus, in this apparatus, reported ownership is manipulable and dissociable from reported recollection and accuracy. The manuscript reports the frozen design, coding procedure, numerical results, model configurations, limitations, and verification route. This manuscript has not been peer reviewed.
Notes
Methods
A language-model agent was coupled to a simulated body, a controlled white-room environment, an identity instruction, and a finite external autobiographical-memory record. The confirmatory experiment used 150 fresh instances across five conditions (30 per condition). Two matched conditions received identical donor-memory strings while coordinated provenance framing presented those strings either as the recipient's own past or as another agent's experiences. Six fixed probes elicited reports. Three blind language-model coding sessions independently coded anonymized, shuffled transcripts under the frozen codebook; disagreements were resolved in one fresh blind language-model adjudication session. Here, independence means separate model contexts, not separate human minds. The primary configuration requested claude-opus-5. Exploratory generalization used 150 claude-haiku-4-5 instances, and an audit-only characterization used 15 qwen2.5:7b-instruct instances.
Files
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Additional details
Dates
- Collected
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2026-07-30/2026-07-31Confirmatory and exploratory data collection
Software
References
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Subjects
- Artificial intelligence
- http://data.europa.eu/8mn/euroscivoc/4c8f4b46-6f5c-41d9-9079-7de85c16431d
- Natural language processing
- http://data.europa.eu/8mn/euroscivoc/6de6dbeb-f200-40fc-b01c-09b01d153180
- Philosophy
- http://data.europa.eu/8mn/euroscivoc/20e77e46-571d-42a4-b3f1-8eb284bc4034
- Epistemology
- http://data.europa.eu/8mn/euroscivoc/a15ee526-3068-4a63-a064-eced44be0dc8