AI Research
Building Socio-Affective Artificial Intelligence for Interactive Multi-Agent Simulations
Designing frameworks for human-agent collaboration in complex, simulated social environments.
The objective of this article is to provide design principles and a software architecture for enabling interaction between humans and multiple agents in simulated dynamic worlds. This connects the current era of general artificial intelligence (AI/AGI) with the proliferation of t...
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ArXiv CS.AI
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2 min
ArXiv CS.AI
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Bridging the gap between raw machine intelligence and human social nuance is critical for creating truly immersive digital environments. By formalizing socio-affective architectures, researchers are moving closer to agents that can navigate complex human dynamics rather than just executing isolated tasks.
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