Innovation Success and Structural Change: An Abstract Agent Based Study

TL;DR

This paper presents an abstract agent-based model to analyze how innovation influences structural creation and change within societies, adaptable across various fields, emphasizing agent-environment interactions and adaptation dynamics.

Contribution

It introduces a flexible, abstract model that captures innovation-driven structural dynamics in agent societies using string matching and utility-based adaptation.

Findings

Model demonstrates how innovation impacts societal structure creation.

Agents adapt their strategies through string matching to improve utility.

Framework is adaptable to different fields and environments.

Abstract

A model is developed to study the effectiveness of innovation and its impact on structure creation and structure change on agent-based societies. The abstract model that is developed is easily adapted to any particular field. In any interacting environment, the agents receive something from the environment (the other agents) in exchange for their effort and pay the environment a certain amount of value for the fulfilling of their needs or for the very price of existence in that environment. This is coded by two bit strings and the dynamics of the exchange is based on the matching of these strings to those of the other agents. Innovation is related to the adaptation by the agents of their bit strings to improve some utility function.