Definition ∞ AI Agent Architecture describes the fundamental structure for autonomous software entities. This architecture dictates how an AI agent perceives its environment, processes information, makes decisions, and executes actions. It defines the operational framework that enables an agent to perform tasks, adapt to changing conditions, and interact with other systems or data sources. Components typically include sensors, effectors, a knowledge base, and a reasoning engine, all working in concert.
Context ∞ Within the digital asset space, discussions often center on how AI agent architectures can automate trading strategies, manage decentralized autonomous organizations (DAOs), or enhance blockchain security protocols. The development of robust, verifiable architectures is crucial for trustworthy applications handling significant financial value. Future advancements will likely focus on transparent and auditable decision-making processes for these autonomous entities.
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