AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work proposes test-time adaptation through human-agent interaction (TAHI), which integrates these signals into agent context and weights, and crystallizes each user's training and evaluation criteria via an evolving rubric module.
This study applies Archetypal Analysis to standardized acceptance ratings across eight representative AI application contexts in games to provide an exploratory empirical vocabulary for segmenting game AI audiences and offers preliminary design implications for more context-sensitive and player-sensitive AI integration...
Empirical evidence is provided for understanding the "double-edged sword" effect of LLM-NPCs on player experience, and the importance of scenario-sensitive and user-sensitive design in intelligent NPC systems is highlighted.
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