The rise of Multimodal Large Language Models (MLLMs) has become a transformative force
in the field of artificial intelligence, enabling machines to process and generate content …

The pursuit of more intelligent and credible autonomous systems, akin to human society, has
been a long-standing endeavor for humans. Leveraging the exceptional reasoning and …

The advent of conversational agents with increasingly human-like behaviour throws old
philosophical questions into new light. Does it, or could it, ever make sense to speak of AI …

The development of game agents holds a critical role in advancing towards Artificial General
Intelligence (AGI). The progress of LLMs and their multimodal counterparts (MLLMs) offers …

Tools for designing content require a medium that allows the designer to efficiently express
their creativity, and a system that ensures the content being designed adheres to the domain …

This survey comprehensively reviews the multi-dimensionality of game scenario diversity,
spotlighting the innovative use of procedural content generation and other fields as …

Unrealistic parser-based dialogue systems limit player agency. LLM characters can
enhance agency but lack structure and measurable objectives. We propose a framework for …

Games have been the perfect test-beds for artificial intelligence research for the
characteristics that widely exist in real-world scenarios. Learning and optimisation, decision …

Mixed-initiative co-creative storytelling games have existed for some time as a way to merge
storytelling with play. However, modern mixed-initiative co-creative storytelling games …

Recently, the emergence of large language models (LLMs) has unlocked new opportunities
for procedural content generation. However, recent attempts mainly focus on level …