---
title: "Artificial Intelligence and Games"
authors:
  - "Georgios N. Yannakakis"
  - "Julian Togelius"
year: 2018
venue: "Springer"
arxiv: null
doi: "10.1007/978-3-319-63519-4"
source: "https://doi.org/10.1007/978-3-319-63519-4"
topics:
  - rts-bots
  - pcg
  - aiide-cog
  - opponent-modeling
seed_rank: 95
seed_batch: "prefill-2026-08-13"
reviewed: "2026-08-13"
pool: "game-ai"
relevance_score: 9
cites:
  - title: "Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger"
    url: "https://arxiv.org/abs/1812.00054"
    year: 2018
    arxiv: "1812.00054"
    doi: null
  - title: "QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning"
    url: "https://arxiv.org/abs/1803.11485"
    year: 2018
    arxiv: "1803.11485"
    doi: null
see:
  - "096-forward-modeling-for-partial-observation-strategy-games-a-st"
  - "098-qmix-monotonic-value-function-factorisation-for-deep-multi-a"
---

# Artificial Intelligence and Games

## One-sentence takeaway

Yannakakis and Togelius's textbook organizes game AI around three jobs — playing games, generating games, and modeling players — rather than around individual algorithms.

## Why it matters here

Broadside's game-AI seed list and GRID COMMAND bots need that three-way map: playing (RTS/MARL), generating (PCG), and modeling (opponents/players).

## Key ideas

- First comprehensive textbook aimed at graduate/advanced-undergrad courses and practitioners, with lecture slides and exercises on https://gameaibook.org.
- Playing covers search, planning, and (in later material) deep RL inside games as testbeds.
- Generating covers procedural content generation as an AI problem, not only as a content pipeline.
- Modeling covers player experience, opponent models, and evaluation of human-facing systems.
- A 2025 second edition (Springer 10.1007/978-3-031-83347-2) adds deep RL, generative models, and an ethics chapter; this card tracks the 2018 first edition named by the seed.

## Caveats

## Links

- DOI (1st ed.): [10.1007/978-3-319-63519-4](https://doi.org/10.1007/978-3-319-63519-4)
- Companion site: https://gameaibook.org