Building Socio-Affective Artificial Intelligence for Interactive Multi-Agent Simulations
Key takeaway
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.
Why it's on PDOOM
PDOOM selected this story for its capabilities signals: Capabilities, AGI.
CapabilitiesAGIFrom ArXiv cs.AI
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 transformer-based conversational agents and the increased computational capabilities. Given an overview of current and previous multi-agent theories of mind (socially and af
By David Berga