Towards Bio-Inspired Interpretable Embodied Artificial Intelligence

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@Article{Nadizar:2025:sigevolution,

• author = "Giorgia Nadizar",
• title = "Towards Bio-Inspired Interpretable Embodied Artificial Intelligence",
• journal = "SIGEVOlution",
• year = "2025",
• volume = "18",
• number = "2",
• articleno = "1",
• month = jun,
• note = "PhD Dissertation Reports",
• keywords = "genetic algorithms, genetic programming, Cartesian Genetic Programming, Linear Genetic Programming, Embodied AI, XAI, optimized symbolic controller, behaviour diversity framework",
• publisher = "Association for Computing Machinery",
• URL = "https://evolution.sigevo.org/issues/HTML/sigevolution-18-2/index.html",
• DOI = "10.1145/3747321.3747322",
• size = "4 pages",
• abstract = "Embodied Artificial Intelligence (AI) refers to the integration of AI systems within a (simulated or physical) body, such as AI-driven robots. This paradigm is inspired by biological organisms, aiming to replicate the dynamic interaction between intelligent behavior and a body. However, the resemblance to biological beings is frequently a coarse approximation, raising questions about the extent to which these systems genuinely capture biological principles.",
• notes = "write up of \cite{Nadizar:thesis}",

}

Genetic Programming entries for Giorgia Nadizar

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