Events
イベント
CHAIN ACADEMIC SEMINAR #54
第54回CHAINセミナー：Fernando Rosas “A computational approach to hierarchical emergence”
今回のCHAINセミナーは、英国サセックス大学のFernando Rosas氏に「階層的な創発への計算論的アプローチ」と題してご講演いただきます。 Fernando Rosas氏は、複雑系科学、計算論的神経科学、AIの分野を横断し、異なるスケールの現象がどのようにして自己組織化し創発するのかを、計算論的・情報理論的なアプローチを用いて研究されています。是非ご参加ください。
Seminar1
Lecturer
Fernando Rosas
A computational approach to hierarchical emergence
Abstract:
Abstract:
How to best understand multi-scale processes from a computational perspective? This talk will introduce a computational approach to characterise emergent macroscopic processes in terms of how they express self-contained informational, interventional, and computational properties. This approach reveals a hierarchy of nested self-contained processes, which determines what computations take place at what level. This framework will be illustrated on various applications, including classical models of statistical physics and computational neuroscience. As a key application, we will outline how this framework enables a principled approach for investigating the capabilities and internal representations of AI agents.
How to best understand multi-scale processes from a computational perspective? This talk will introduce a computational approach to characterise emergent macroscopic processes in terms of how they express self-contained informational, interventional, and computational properties. This approach reveals a hierarchy of nested self-contained processes, which determines what computations take place at what level. This framework will be illustrated on various applications, including classical models of statistical physics and computational neuroscience. As a key application, we will outline how this framework enables a principled approach for investigating the capabilities and internal representations of AI agents.