GenAI models span multiple agent types, mainly model-based and goal-based, but categorisation is difficult without model specifics¶

Claim · All claims
Evidence · 1 study · theoretical r3 · q1
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person · recheck by 2028: tool and model accuracy changes quickly

Subclaims¶

q1 i? The chapter characterises GenAI models as exceeding simple-reflex capabilities, mainly model-based with goal-based alignment, partially fitting utility-based and learning agents, while noting categorisation is difficult without specifics of a given model and task. → Mutlu Cukurova 2025

Evidence¶

Mutlu Cukurova 2025¶

Mutlu Cukurova, Wannapon Suraworachet, Qi Zhou, and Sahan Bulathwela. (2025). Towards Synergistic Teacher-AI Interactions with Generative Artificial Intelligence. https://arxiv.org/abs/2511.19580 doi:10.48550/arxiv.2511.19580

q1 · i? · theoretical · r3

Definitional/descriptive analysis adapting Russell and Norvig's agent framework to GenAI: the chapter argues GenAI maintains prior contextual understanding (model-based), executes actions per user prompts (goal-based), and can improve via deliberate fine-tuning, but not autonomously. The chapter states it is difficult to categorise without model specifics.

"These five agent types are: simple-reflex, model-based, goal-based, utility-based and learning agents."

Discussion¶

Related Claims¶

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