Embodied Cognitive Modeling for Game AI: From Human Behavior to Agent Internal States

Embodied Cognitive Modeling for Game AI: From Human Behavior to Agent Internal States Core Idea We explore a new approach: By analyzing how humans behave in games, we aim to improve AI internal design to make AI behave more "human-like." Why This Research? While modern AI excels at specific tasks, it often appears rigid and inflexible. We investigate: Can observing how humans think and act help us design better AI? Our Approach 1. Observe Humans: Analyze how people focus, decide, and react in games 2. Extract Patterns: Identify effective human behavioral strategies 3. Guide Design: Use these patterns to inform AI internal architecture 4. Validate Results: Test AI performance in game environments Why Games? - Controlled yet sufficiently complex environments - Rich human behavioral data available - Clear performance metrics - Insights transferable to other domains Research Significance For Science: - Bridges cognitive science and artificial intelligence - Explores common ground between human and machine intelligence For Applications: - Develops more intelligent, human-like game AI - Provides new ideas for education, robotics, and human-computer interaction - Helps design AI systems that are easier to understand and trust Key Features - Interdisciplinary: Combines psychology and computer science - Data-driven: Based on real human behavior - Practical focus: Designs usable AI systems - Open collaboration: Welcomes exchanges with researchers in related fields One-Sentence Summary We study how humans think in games, then use that knowledge to design smarter, more human-like AI. For OFS Platform - Categories: Artificial Intelligence / Cognitive Science / Game Development - Keywords: Embodied AI, Internal State Modeling, Human Behavior Analysis, Game AI - Research Type: Basic & Applied Research - Status: Ongoing - Collaboration: Open to researchers interested in AI, cognitive science, and game design This brief clearly communicates research value while protecting technical details. email:ht3100Z@outlook.com