日時：	2019年10月11日（金）13：30～15：00
場所：	京都大学ウイルス再生研2号館 （旧ウイルス研本館）1階セミナー室（104）
演者：	Prof. Matthew Turner 　Department of Physics / Centre for Complexity Science, University of Warwick, UK
演題：	Intrinsically motivated collective motion

講演要旨

We study a simple model of information-processing (living) agents. These agents seek maximal control of their environment via “future state maximisation” (FSM), a principle that connects fitness with information processing more generally. In particular we study moving, re-orientable agents. The action of each agent is (re)established by exhaustive enumeration of its future decision tree at each time step – each agent chooses the branch of its tree leading from the present to the richest future state space. Remarkably, cohesive swarm-like motion emerges that is similar to that observed in animal systems, such as bird flocks. We develop heuristics that mimic computationally intensive FSM but that could operate in real time under animal cognition. This offers a philosophically attractive, bottom-up mechanism for the emergence of swarming.  I will conclude by asking whether FSM may also have applications in cell regulatory or neuronal networks.

（言語：英語　Language: English）

 

主催	京都大学ウイルス・再生医科学研究所
世話人	数理生物学分野 　望月　敦史（TEL:075-751-4612）