When 1+1 does not equal 2: Synergy in games
Joshua Kritz, Raluca Gaina

TL;DR
This paper provides a clear definition of synergy in games and introduces a methodology to analyze it, demonstrated through applications to Chess, League of Legends, and Magic: The Gathering.
Contribution
It offers a novel, precise definition of synergy and a methodology for analyzing it in various games, addressing a longstanding conceptual vagueness.
Findings
Defined synergy rigorously for the first time
Developed a methodology to analyze synergy in games
Applied the approach to multiple popular games
Abstract
Although synergy is an important concept that is strongly ingrained in games, it has not been widely discussed by the games community. This is due to the vagueness of the concept and the fact that there is no clear agreement on what it means. To solve this, we present a strict definition of what is synergy. Then we propose a methodology to use this definition to analyze synergy in games. Applying this definition to various games (Chess, League of Legends, and Magic: The Gathering), we illustrate how it can be used to solve many of the practical problems related to synergy.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSports Analytics and Performance · Complex Systems and Time Series Analysis · Artificial Intelligence in Games
