A Motivational Architecture for Conversational AGI
arXiv AIArchived Jun 06, 2026✓ Full text saved
arXiv:2606.05411v1 Announce Type: new Abstract: Motivational architectures in cognitive AI have largely been designed for physical agents regulating bodily needs. Conversational agents operate in a different regime: their sensorimotor loop is linguistic, their environment is a user's evolving mental state, and their consequential actions are speech acts, tool invocations, and strategic silences. This paper proposes a conversational reinterpretation of the OpenPsi motivational lineage, coupled to
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✦ AI Summary· Claude Sonnet
Computer Science > Artificial Intelligence
[Submitted on 3 Jun 2026]
A Motivational Architecture for Conversational AGI
Anna Mikeda, Ben Goertzel
Motivational architectures in cognitive AI have largely been designed for physical agents regulating bodily needs. Conversational agents operate in a different regime: their sensorimotor loop is linguistic, their environment is a user's evolving mental state, and their consequential actions are speech acts, tool invocations, and strategic silences. This paper proposes a conversational reinterpretation of the OpenPsi motivational lineage, coupled to MetaMo's higher-level motivational scaffold, for agents built on a modular execution substrate. Homeostasis is recast in dialogue-native terms: the agent regulates competence, uncertainty reduction, affiliation, affinity, legitimacy, nurturing, and aesthetic coherence rather than bodily deficits. We propose three contributions: a ten-stage motivational processing pipeline that architecturally separates cognitive modulation from situational appraisal; a dual decision strategy blending urgency-driven fast response with deliberative multi-goal optimization; and an architecturally useful distinction between pre-action feelings and post-action emotions as functionally different forms of affect. We specialize the framework to two example agents -- CompanionAgent and ResearchAgent -- and sketch its extension to social robotics and domain-generic human-level AGI.
Comments: 16 pages. Accepted for AGI-26 proceedings
Subjects: Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC)
Cite as: arXiv:2606.05411 [cs.AI]
(or arXiv:2606.05411v1 [cs.AI] for this version)
https://doi.org/10.48550/arXiv.2606.05411
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Submission history
From: Anna Mikeda Ms [view email]
[v1] Wed, 3 Jun 2026 20:25:15 UTC (33 KB)
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