Neuroevolution for Micromanagement in the Real-Time Strategy Game Starcraft: Brood War
| Autor: | Jacky Shunjie Zhen, Ian Watson |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Micromanagement
Neuroevolution business.industry Computer science Core component ComputingMilieux_PERSONALCOMPUTING 0102 computer and information sciences 02 engineering and technology Network topology 01 natural sciences Evolutionary computation Brood Task (project management) 010201 computation theory & mathematics Real-time strategy 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783319036793 Australasian Conference on Artificial Intelligence |
| Popis: | Real-Time Strategy (RTS) games have become an attractive domain for AI research in recent years, due to their dynamic, multi-agent and multi-objective environments. Micromanagement, a core component of many RTS games, involves the control of multiple agents to accomplish goals that require fast, real time assessment and reaction. In this paper, we present the application and evaluation of a Neuroevolution technique in evolving micromanagement agents for the RTS game Starcraft: Brood War (SC:BW). The NeuroEvolution of Augmented Topologies (NEAT) algorithm, both in its standard form and its real-time variant (rtNEAT) is comparatively evaluated in micromanagement tasks. Preliminary results suggest the general viability of these techniques in comparison to traditional, non-adaptive AI. Further analysis of each algorithm identified differences in task performance and learning rate. |
| Databáze: | OpenAIRE |
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