Cognitive Prompts Using Guilford's Structure of Intellect Model

Abstract
Large language models (LLMs) demonstrate strong language generation capabilities but often struggle with structured reasoning, leading to inconsistent or suboptimal problem-solving. To mitigate this limitation, Guilford's Structure of Intellect (SOI) model - a foundational framework from intelligence theory - is leveraged as the basis for cognitive prompt engineering. The SOI model categorizes cognitive operations such as pattern recognition, memory retrieval, and evaluation, offering a systematic approach to enhancing LLM reasoning and decision-making. This position paper presents a novel cognitive prompting approach for enforcing SOI-inspired reasoning for improving clarity, coherence, and adaptability in model responses.
View on arXiv@article{kramer2025_2503.22036, title={ Cognitive Prompts Using Guilford's Structure of Intellect Model }, author={ Oliver Kramer }, journal={arXiv preprint arXiv:2503.22036}, year={ 2025 } }
Comments on this paper