[
    {
        "id": "osp-16225",
        "type": "article-journal",
        "title": "$\\mathrm{TRIZ}^{a}$: Guiding Agent Evolution from Pattern Recognition to Solution Invention",
        "author": [
            {
                "family": "Liu",
                "given": "Wenyin"
            },
            {
                "family": "Huang",
                "given": "Yiheng"
            },
            {
                "family": "Wang",
                "given": "Kai"
            }
        ],
        "URL": "https://omanscience.com/en/articles/mathrm-triz-a-guiding-agent-evolution-from-pattern-recognition-to-solution-invention",
        "language": "en",
        "issued": {
            "date-parts": [
                [
                    2026
                ]
            ]
        },
        "abstract": "We propose $\\mathrm{TRIZ}^{a}$ (TRIZ exponentiated by an agent), a general R\\&D automation paradigm that combines TRIZ inventive theory with LLM-driven agent evolutionary search. TRIZ's 40 inventive principles and contradiction matrix provide structured, explainable directions for solution generation, replacing random or untyped mutation with theory-guided ideation. Functional information (FI), operationalized under a frozen reference contract, is combined with TRIZ Ideality to measure useful and harmful function on a commensurable information scale, while hard gates keep promotion distinct from metric improvement. We validate $\\mathrm{TRIZ}^{a}$ in cybersecurity--an adversarial and rapidly evolving domain--on PowerDuck GOOSE, CICIoT2023, and CIC-DDoS2019. Under paired-rerun protocols with protocol fingerprinting and hard-gate validation, the legacy experiments yield absolute F1 improvements of $+2.88$, $+4.23$, and $+0.15$ percentage points, respectively. A completed 45-activity CICIoT2023 campaign further increases macro-F1 from $0.8325$ to $0.8483$, but does not pass its frozen promotion gate. Every result remains traceable from contradiction identification and TRIZ principle selection to code transformation, evaluation metrics, and promotion decision."
    }
]