Abstract

In the previous chapters we have looked at the visual domain and single-agent environments for action domains. In this chapter, we will apply the novelty framework to a multi-agent game environment. As an example of multi-agent game environment, we introduce a simulated version of the Monopoly board game. Monopoly is a multi-agent board game that involves four players taking turns by rolling a pair of unbiased dice and making decisions. The conventional Monopoly board consists of 40 square locations which include 22 real estate locations, 4 railroads, and 2 utility locations that players can buy, sell, or trade. Furthermore, there are squares that correspond to “Go,” a jail location, card locations, and the free parking location. Figure  shows all assets, their corresponding purchase prices, and color. We setup the Monopoly simulator to have one learning-based agent () and three fixed-policy agents. These constitute the four …

Date

2023

Authors

T Bonjour, M Haliem, V Aggarwal, M Kejriwal, B Bhargava

Book

A Unifying Framework for Formal Theories of Novelty: Discussions, Guidelines, and Examples for Artificial Intelligence

Pages

97-105

Publisher

Springer Nature Switzerland