# Artificial Intelligence in Games

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/artificial-intelligence-in-games/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the research and development of artificial intelligence techniques for games, including Monte Carlo Tree Search, procedural content generation, interactive storytelling, player modeling, real-time strategy games, computational creativity, behavior trees, general game playing, and level generation. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | t11574 |
| Works | 22 |

## Topic papers all

Showing 15 of 22.

- [Responsible Gambling Tools: Pop-Up Messages and Pauses on Video Lottery Terminals](https://scholariq.org/papers/responsible-gambling-tools-pop-up-messages-and-pauses-on-video-lottery-terminals/)
- [Komodo Mlipir Algorithm](https://scholariq.org/papers/komodo-mlipir-algorithm/)
- [Entertainment Computing – ICEC 2021](https://scholariq.org/papers/entertainment-computing-icec-2021/)
- [Balancing Play, Meaning and Reality: The Design Philosophy of LEVEE PATROLLER](https://scholariq.org/papers/balancing-play-meaning-and-reality-the-design-philosophy-of-levee-patroller/)
- [Chaotic Kbest gravitational search algorithm (CKGSA)](https://scholariq.org/papers/chaotic-kbest-gravitational-search-algorithm-ckgsa/)
- [Emotion model for life-like agent and its evaluation](https://scholariq.org/papers/emotion-model-for-life-like-agent-and-its-evaluation/)
- [Implications of Learning Analytics for Serious Game Design](https://scholariq.org/papers/implications-of-learning-analytics-for-serious-game-design/)
- [Language as Reality: A Co-Creative Storytelling Game Experience in 1001 Nights Using Generative AI](https://scholariq.org/papers/language-as-reality-a-co-creative-storytelling-game-experience-in-1001-nights/)
- [Narrative Serious Game Mechanics (NSGM) – Insights into the Narrative-Pedagogical Mechanism](https://scholariq.org/papers/narrative-serious-game-mechanics-nsgm-insights-into-the-narrative-pedagogical/)
- [Dynamic Difficulty Adjustment in Tower Defence](https://scholariq.org/papers/dynamic-difficulty-adjustment-in-tower-defence/)
- [Bringing Stories to Life in 1001 Nights: A Co-creative Text Adventure Game Using a Story Generation Model](https://scholariq.org/papers/bringing-stories-to-life-in-1001-nights-a-co-creative-text-adventure-game-using/)
- [Efficiency of parallel minimax algorithm for game tree search](https://scholariq.org/papers/efficiency-of-parallel-minimax-algorithm-for-game-tree-search/)
- [Active Fantasy Sports: Rationale and Feasibility of Leveraging Online Fantasy Sports to Promote Physical Activity](https://scholariq.org/papers/active-fantasy-sports-rationale-and-feasibility-of-leveraging-online-fantasy/)
- [A Quantitative Approach for Modelling and Personalizing Player Experience in First-Person Shooter Games.](https://scholariq.org/papers/a-quantitative-approach-for-modelling-and-personalizing-player-experience-in/)
- [Locust Mayfly Optimization-Tuned Neural Network for AI-Based Pruning in Chess Game](https://scholariq.org/papers/locust-mayfly-optimization-tuned-neural-network-for-ai-based-pruning-in-chess/)

## Topic primary papers

- [Language as Reality: A Co-Creative Storytelling Game Experience in 1001 Nights Using Generative AI](https://scholariq.org/papers/language-as-reality-a-co-creative-storytelling-game-experience-in-1001-nights/)
- [Bringing Stories to Life in 1001 Nights: A Co-creative Text Adventure Game Using a Story Generation Model](https://scholariq.org/papers/bringing-stories-to-life-in-1001-nights-a-co-creative-text-adventure-game-using/)
- [Efficiency of parallel minimax algorithm for game tree search](https://scholariq.org/papers/efficiency-of-parallel-minimax-algorithm-for-game-tree-search/)
- [A Quantitative Approach for Modelling and Personalizing Player Experience in First-Person Shooter Games.](https://scholariq.org/papers/a-quantitative-approach-for-modelling-and-personalizing-player-experience-in/)
- [Locust Mayfly Optimization-Tuned Neural Network for AI-Based Pruning in Chess Game](https://scholariq.org/papers/locust-mayfly-optimization-tuned-neural-network-for-ai-based-pruning-in-chess/)
- [Competing Persuaders in Zero-Sum Games](https://scholariq.org/papers/competing-persuaders-in-zero-sum-games-2/)
- [Hybrid Optimization for Developing Human Like Chess Playing System](https://scholariq.org/papers/hybrid-optimization-for-developing-human-like-chess-playing-system/)
- [An Autonomous Player Agent for Game Balance Insight on an Educational Video Game](https://scholariq.org/papers/an-autonomous-player-agent-for-game-balance-insight-on-an-educational-video-game/)
- [FactorSim: Generative Simulation via Factorized Representation](https://scholariq.org/papers/factorsim-generative-simulation-via-factorized-representation-2/)
- [A Comparative Evaluation of Search and Metaheuristic Algorithms for the N-Queens Problem: Scalability, Efficiency, and Success Rates](https://scholariq.org/papers/a-comparative-evaluation-of-search-and-metaheuristic-algorithms-for-the-n-queens/)
- [Algorithmic Insights into the N-Queens Problem: A Comparative Study Across Scales](https://scholariq.org/papers/algorithmic-insights-into-the-n-queens-problem-a-comparative-study-across-scales/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.