From Triggers to Emotions: A CPM-Grounded Appraisal Multi-Agent for Dynamic Emotional Evolution in Persona-Based Dialogue

2026-07-08 · Source: Artificial Intelligence · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Conversational AI & Affective Computing · Depth: Expert, quick

Summary

CPM-MultiAgent is a novel multi-agent framework designed to model dynamic emotional evolution in persona-based dialogue agents, addressing the limitation of static emotional representations in existing systems. Inspired by the psychological Component Process Model (CPM), which views emotion as a dynamic process influenced by external event appraisal, CPM-MultiAgent treats a character's emotion as a latent state continuously reshaped by dialogue triggers. The framework operates through affective trigger extraction, CPM-based collaborative appraisal, and emotion state updating, enabling more emotionally consistent role simulation in multi-turn interactions. This approach significantly advances emotion-sensitive role simulation in applications like healthcare, education, counseling, customer service, and interactive storytelling. Experiments, including baseline comparisons, ablation studies, human evaluation, and case analyses, confirm CPM-MultiAgent's effectiveness in modeling dynamic emotional evolution.

Key takeaway

For NLP Engineers developing persona-based dialogue systems, integrating dynamic emotional evolution is crucial for realistic interactions. You should consider adopting a CPM-grounded multi-agent framework like CPM-MultiAgent to move beyond static emotional traits. This approach allows your agents to respond with emotionally consistent and evolving states based on dialogue triggers, significantly enhancing role simulation in sensitive applications such as healthcare or interactive storytelling. Explore implementing affective trigger extraction and collaborative appraisal mechanisms to achieve more nuanced emotional depth.

Key insights

CPM-MultiAgent dynamically evolves agent emotions in dialogue by appraising triggers, moving beyond static emotional traits.

Principles

• Emotions are dynamic processes, not fixed attributes.
• External events trigger emotional appraisal.
• Collaborative appraisal refines emotional states.

Method

CPM-MultiAgent extracts affective triggers, performs CPM-based collaborative appraisal, and updates the agent's latent emotion state for dynamic evolution.

In practice

• Enhance role-playing agents for interactive storytelling.
• Improve emotional consistency in counseling simulations.
• Develop more realistic customer service agents.

Topics

• Multiagent Systems
• Persona-Based Dialogue
• Emotion Modeling
• Large Language Models
• Component Process Model
• Role Simulation

Best for: AI Scientist, NLP Engineer, Research Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial Intelligence.