AI and Wargaming
Goodman, James, Risi, Sebastian, Lucas, Simon
–arXiv.org Artificial Intelligence
Recent progress in Game AI has demonstrated that given enough data from human gameplay, or experience gained via simulations, machines can rival or surpass the most skilled human players in classic games such as Go, or commercial computer games such as Starcraft. We review the current state-of-the-art through the lens of wargaming, and ask firstly what features of wargames distinguish them from the usual AI testbeds, and secondly which recent AI advances are best suited to address these wargame-specific features.
arXiv.org Artificial Intelligence
Sep-18-2020
- Country:
- North America > United States
- Texas (0.04)
- California > San Diego County
- San Diego (0.04)
- Europe
- United Kingdom (0.04)
- Denmark > Capital Region
- Copenhagen (0.04)
- North America > United States
- Genre:
- Research Report (1.00)
- Overview (1.00)
- Instructional Material > Course Syllabus & Notes (0.45)
- Industry:
- Leisure & Entertainment > Games > Computer Games (1.00)
- Technology:
- Information Technology > Artificial Intelligence
- Robots (1.00)
- Natural Language (1.00)
- Games (0.93)
- Cognitive Science > Problem Solving (0.67)
- Representation & Reasoning
- Search (1.00)
- Planning & Scheduling (1.00)
- Agents > Agent Societies (0.92)
- Machine Learning
- Statistical Learning (1.00)
- Reinforcement Learning (1.00)
- Neural Networks > Deep Learning (1.00)
- Evolutionary Systems (0.68)
- Learning Graphical Models > Undirected Networks
- Markov Models (0.46)
- Information Technology > Artificial Intelligence