Abstract

In this paper I consider the usefulness of the compositional hierarchy model in understanding the information flows involved in group behaviors in animals. I propose that short-term memory can function to transduce information across scale, thereby connecting different modes of information and mediating coherent group motions. This transduction I propose to be mediated by the “sign” as understood in Peircean semiotics, generating the meaning of the information for the social animal.

Highlights

  • In this paper I will be using the term ‘information’ to refer to the actual configurations of informational constraints characterizing, or being imposed upon, a system

  • But very clear, physical example, the constants in an equation function as informational constraints upon the dynamics modeled by the equation, while their values are the relevant information

  • Information impinging a system from outside would acquire meaning for a system only when it is interpreted by that system as a response, which can be modeled in semiotics discourse, as outlined below in this paper

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Summary

Introduction

In this paper I will be using the term ‘information’ to refer to the actual configurations of informational constraints characterizing, or being imposed upon, a system. We show that the mean-field model fits the large scale behaviour of the system, but does not capture fine scale rules of interaction, which are primarily mediated by physical contact. The Markovian self-propelled particle model captures the fine scale rules of interaction but fails to reproduce global dynamics.

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