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What Do Agents Recognize? From Social Dynamics to Educational Experiments

  • Masaaki Kunigami
Chapter
Part of the Agent-Based Social Systems book series (ABSS, volume 12)

Abstract

This is an overview of recent developments in agent’s cognition modeling, simulation, and experimental observation. These focus on what agents recognize and on the differences between agents. On modeling and simulation, we introduce a new formulation called the Doubly Structural Network (DSN) model and show its applications in socioeconomics and education. The DSN model is a useful framework to describe the dissemination process of innovative recognition. On experimental observation, we look at two educational applications called the Pictogram Network (Pict-Net) Abstraction and the Persona Design Method.

Notes

Acknowledgments

Here, I express my sincere appreciation for the authors of which work and results I illustrate in this paper.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Tokyo Institute of TechnologyYokohamaJapan

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