It is claimed that, in the nascent 'Cognitive Era', intelligent systems will be trained using
machine learning techniques rather than programmed by software developers. A contrary …

Games have been used as excellent testbeds for research on artificial intelligence (AI) and
computational intelligence for their diversity and complexity. In this article, we present AI …

This paper presents a new approach for leveraging ChatGPT in fighting game commentary
generation task. Commentary generation often relies on deep learning techniques, which …

Real-time strategy (RTS) games' nature that, more complex than the turn-based, tabletop
games such as Go, has been spotlighted in the field of artificial intelligence (AI) due to its …

This work presents a framework for a new type of meta-game balance AI Competition based
on Pokémon, Pokémon battles can be viewed as adversarial games played by AIs. Around …

Background: This article introduces SC-Phi2, a fine-tuned StarCraft II small language model.
Small language models, like Phi2, Gemma, and DistilBERT, are streamlined versions of …

State-of-the-art multiagent policy gradient (MAPG) methods have demonstrated convincing
capability in many cooperative games. However, the exponentially growing joint-action …

Professional StarCraft game players are likely to focus on the management of the most
important group of units (called the main force) during gameplay. Although macro-level skills …

Many attempts have been made to promote cooperation for multiagent systems. However,
several issues that draw less attentions but may dramatically degrade the cooperation …

In real-time strategy games, players collect resources, control various units, and create
strategies to win. The creation of winning strategies requires accurately analyzing previous …