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2023.11.22

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»ã±¨±êÌâ (Title)£ºÖÇÄÜ¿ÆÑ§-ÊýѧµÀÀíÓ빤³ÌÀûÓà £¨Intelligence Science------Mathematical Principle and Engineering Applications£©

»ã±¨ÈË (Speaker)£º Îâ½¹ËÕ ×êÑÐÔ±£¨ÖпÆÔºÈËΪÖÇÄÜͬÃË¡¢»ª¶«Õþ·¨´óѧ»¥ÁªÍø·¨ÖÎ×êÑÐÔº£©

»ã±¨¹¦·ò (Time)£º2023Äê11ÔÂ22ÈÕ(ÖÜÈý)15:00-17:00

»ã±¨µØÖ· (Place)£ºÐ£±¾²¿GJ303

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ÌáÒªWe develop a general theoretical framework of Intelligence Science¡ª¡ªSpatial-Temporal Gamedynamics£¬including mathematical principle, i.e., Strategic Correlativity Principle (SCP), Strategic Causality Law (SCL), Fundamental Theorem of Strategic Causal Learning (FTSCL)£¬and show some interesting properties, such as scaling law, emergent ability, phase transition.

We apply Intelligence Science to Intelligence Engineering for large communication and action games with high order beliefs, such as Mechanism Design, Information Design, Action Design to reduce hallucination and execute superalignment for multi-modal pretraining large models, including Large Language Model (LLM)/AI Generated Content (AIGC), i.e., OpenAI¡¯s ChatGPT/GPT-4, and Vision-Language-Action Model (VLA)/AI Generated Action (AIGA), i.e., Google¡¯s PaLM-E and Stanford¡¯s VoxPoser, etc.

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