LIDA (cognitive architecture)

<p>The LIDA (Learning Intelligent Decision Agent) <a href="/facts/Cognitive_architecture/6EgYFrx5">cognitive architecture</a>, previously Learning Intelligent Distribution Agent for its origins in IDA, attempts to model a broad spectrum of <a href="/facts/Cognition/ga0tSBul">cognition</a> in biological systems, from low-level perception/action to high-level reasoning. Developed primarily by <a href="/facts/Stan_Franklin/IjzFXnRx">Stan Franklin</a> and colleagues at the <a href="/facts/University_of_Memphis/2PuCK3a2">University of Memphis</a>, the LIDA architecture is empirically grounded in <a href="/facts/Cognitive_science/8qoggl7r">cognitive science</a> and <a href="/facts/Cognitive_neuroscience/VWcV08yY">cognitive neuroscience</a>. It is an extension of IDA, which adds mechanisms for learning. In addition to providing hypotheses to guide further research, the architecture can support control structures for <a href="/facts/Software_agent/aevgKHF0">software agents</a> and robots. Providing plausible explanations for many cognitive processes, the LIDA conceptual model is also intended as a tool with which to think about how minds work.
</p><p>Two hypotheses underlie the LIDA architecture and its corresponding conceptual model: 1) Much of human cognition functions by means of frequently iterated (~10 Hz) interactions, called cognitive cycles, between conscious contents, the various memory systems and <a href="/facts/Action_selection/PQPAvJvl">action selection</a>. 2) These cognitive cycles, serve as the "atoms" of cognition of which higher-level cognitive processes are composed.
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LIDA (cognitive architecture) open-in-new

LIDA (cognitive architecture)