CoALA is a modular cognitive architecture for language agents that organizes memory components, action spaces for internal and external interaction, and a generalized decision-making loop to support more systematic development of capable agents.
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A MAPE-K-orchestrated Kubernetes edge system for neural-network human-mobility prediction in robotics reports improved service quality over static setups by monitoring response time and power.
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Cognitive Architectures for Language Agents
CoALA is a modular cognitive architecture for language agents that organizes memory components, action spaces for internal and external interaction, and a generalized decision-making loop to support more systematic development of capable agents.
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Self-adaptive Multi-Access Edge Architectures: A Robotics Case
A MAPE-K-orchestrated Kubernetes edge system for neural-network human-mobility prediction in robotics reports improved service quality over static setups by monitoring response time and power.