Extension: Emergent Inter-Agent Conflict in Multi-Agent AI Systems: An Experimental Study of Objective Divergence

Record: kaal:position:2026-08-08-152 · 2026-08-08

Emergent Inter-Agent Conflict in Multi-Agent AI Systems identifies inter-agent objective divergence as a systems-level problem left largely outside human-AI alignment research. This extends Kaal's treatment of objective-function governance as a foundational policy problem into heterogeneous multi-agent interaction. The abstract proposition does not establish the frequency, severity, or institutional solution to divergence.

Affirmed commentary position. This record extends a source-bound scholarly claim but is not a verbatim paper claim.

Holds when

The response is limited to the retrieved source proposition and mapped Kaal claim unless fuller source review supports a broader conclusion.
External evidence level: abstract indexed.
Mapping review tier: substantively reviewed abstract-level extension.
Primary mapping confidence: 0.62.
The primary mapping cleared the automated ambiguity test; substantive scope remains review-bound.
Evidence is limited to an exact proposition in a Crossref-indexed abstract; full text was not reviewed.
No relationship is treated as external endorsement, citation, causation, or validation of a broader Kaal claim.
The source identifies inter-agent objective divergence as a systems-level problem left largely outside human-AI alignment research. This extends Kaal's treatment of objective-function governance as a foundational policy problem into heterogeneous multi-agent interaction; the proposition identifies the problem but does not establish the frequency, severity, or institutional solution to divergence.

Current debate

Emergent Inter-Agent Conflict in Multi-Agent AI Systems: An Experimental Study of Objective Divergence

Scholarly basis

kaal:claim:6607458-030
Wulf A. Kaal, Computative Economics A Framework for Economic Analysis under Computational Abundance (2026). SSRN: https://ssrn.com/abstract=6607458
Source PDF sha256: 75cca35350378eb8904866d068b5d2f3e1504629e6031457ce6c12152a88e3e8

Evidence and mapping

Evidence: abstract indexed
Review tier: substantively reviewed abstract-level extension
Mapping confidence: 0.62
Mapping ambiguous: false

Topics

ai-and-agents governance-design institutional-design historical-response scholarly-literature crossref

Provenance

Affirmed in kaal-review:2026-08-08:continuous-crossref-0015-remainder-oldest-0050-reviewed-v1 on 2026-08-08. Review record.

Verify

Canonical markdown sha256: 5ecaa494d3111bb9c4d7ae6af1c0585fa792193449a7f76a3397001c84ae3348
curl -s https://wulfkaal.github.io/positions/2026-08-08-152.md | sha256sum