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New theory models human-AI co-creation dynamics

By PulseAugur Editorial · [1 sources] ·

This paper introduces Cognitive Trajectory Modeling (CTM), a new theoretical framework for understanding human-AI co-creation. CTM conceptualizes cognition, interaction, and creativity as temporally organized trajectories within attractor landscapes. It builds upon existing theories of sense-making and creativity, proposing that temporal representations are only interpretable as cognitive trajectories if their underlying states have directional cognitive meaning. CTM aims to provide a more robust method for modeling interaction dynamics in co-creative AI systems and human-AI interactions. AI

IMPACT Provides a theoretical foundation for understanding and modeling the dynamics of human-AI co-creative processes.

RANK_REASON Academic paper introducing a new theoretical framework. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Nicholas Davis ·

    Cognitive Trajectory Modeling: Quantifying Human-AI Co-Creation through Cognitively Grounded Interaction Trajectories

    arXiv:2606.15358v1 Announce Type: cross Abstract: Co-creative AI research increasingly seeks methods capable of representing how interaction dynamics evolve through time. While many existing approaches focus on observable interaction characteristics, interaction metrics, behavior…

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