As a comprehensive, conceptual and computational cognitive architecture the LIDA architecture is intended to model a large portion of human cognition. Comprising a broad array of cognitive modules and processes, the LIDA architecture attempts to implement and flesh out a number of psychological and neuropsychological theories including Global Workspace Theory, situated cognition, perceptual symbol systems, working memory, memory by affordances, long-term working memory, and the H-CogAff architecture.
The LIDA cognitive cycle can be subdivided into three phases: understanding, consciousness, and action selection (which includes learning).
In the understanding phase, incoming stimuli activate low-level feature detectors in sensory memory. The output engages perceptual associative memory where higher-level feature detectors feed in to more abstract entities such as objects, categories, actions, events, etc. The resulting percept moves to the Workspace where it cues both Transient Episodic Memory and Declarative Memory producing local associations. These local associations are combined with the percept to generate a current situational model which is the agent's understanding of what is going on right now.
In the consciousness phase, "attention codelets" form coalitions by selecting portions of the situational model and moving them to the Global Workspace. These coalitions then compete for attention. The winning coalition becomes the content of consciousness and is broadcast globally.
These conscious contents are then broadcast globally, initiating the learning and action selection phase. New entities and associations, and the reinforcement of old ones, occur as the conscious broadcast reaches the various forms of memory, perceptual, episodic and procedural. In parallel with all this learning, and using the conscious contents, possible action schemes are instantiated from Procedural Memory and sent to Action Selection, where they compete to be the behavior selected for this cognitive cycle. The selected behavior triggers sensory-motor memory to produce a suitable algorithm for its execution, which completes the cognitive cycle.
This process repeats continuously, with each cycle representing a cognitive "moment" that contributes to higher-level cognitive processes.
The LIDA (Learning IDA) architecture was originally spawned from IDA by the addition of several styles and modes of learning, but has since then grown to become a much larger and generic software framework.
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