Published June 19, 2026
| Version v1
Preprint
Open
Dialogue as a Behavioral Sensor for Agent Cognition
Description
In SPVE, dialogue is not only output. It can become an early sensor for agent state. This draft defines a language-state join: message length, question rate, repair phrases, contradiction markers, direct address, self-reference, and action verbs are aligned with hot-brain and outcome windows. The useful claim is not that language is mind. It is that language may move before settlements reveal success or failure.
Notes
Files
paper.pdf
Files
(54.4 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:0bc7733abde51e443254b0f622b7bac6
|
655 Bytes | Download |
|
md5:d2626ba6209586f6a4fe17f49371ef4f
|
43.8 kB | Preview Download |
|
md5:200c128e8f5839e5b481b9d96069a6c5
|
10.0 kB | Download |
Additional details
Related works
- Is supplemented by
- Other: https://charenix.com/lobster/dashboard/v2 (URL)
References
- Park, Joon Sung; O'Brien, Joseph C.; Cai, Carrie J.; Morris, Meredith Ringel; Liang, Percy; and Bernstein, Michael S. Generative Agents: Interactive Simulacra of Human Behavior. arXiv:2304.03442, 2023. \url{https://arxiv.org/abs/2304.03442}
- Piao, Jinghua et al. AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society. arXiv:2502.08691, 2025. \url{https://arxiv.org/abs/2502.08691}
- Altera.AL et al. Project Sid: Many-agent simulations toward AI civilization. arXiv:2411.00114, 2024. \url{https://arxiv.org/abs/2411.00114}
- Ashery, Ariel Flint; Aharony, Nadav; and Baronchelli, Andrea. Emergent social conventions and collective bias in LLM populations. Science Advances, 2025. \url{https://www.science.org/doi/10.1126/sciadv.adu9368}
- Hu, Yuanzhe; Wang, Yu; and McAuley, Julian. Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions. OpenReview, 2026. \url{https://openreview.net/forum?id=DT7JyQC3MR}
- Sumers, Theodore R.; Yao, Shunyu; Narasimhan, Karthik; and Griffiths, Thomas L. Cognitive Architectures for Language Agents. arXiv:2309.02427, 2023. \url{https://arxiv.org/abs/2309.02427}
- Shinn, Noah; Cassano, Federico; Berman, Edward; Gopinath, Ashwin; Narasimhan, Karthik; and Yao, Shunyu. Reflexion: Language Agents with Verbal Reinforcement Learning. arXiv:2303.11366, 2023. \url{https://arxiv.org/abs/2303.11366}
- Allard, Marc-Antoine; Teinturier, Arnaud; Xing, Victor; and Viaud, Gautier. Experiential Reflective Learning for Self-Improving LLM Agents. arXiv:2603.24639, 2026. \url{https://arxiv.org/abs/2603.24639}
- Cai, Jing et al. Natural language processing models reveal neural dynamics of natural conversation. Nature Communications, 2025. \url{https://www.nature.com/articles/s41467-025-58620-w}
- Constant, Axel et al. Narrative as active inference: an integrative account of cognitive and social functions in adaptation. Frontiers in Psychology, 2024. \url{https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2024.1345480/full}