open-ended autonomous learning and language acquisition.
Integration of perception and action. Environmental interaction is (at least partially) a control process that requires a modeling of the relationship between sensory data and operations performed by the system.
(Semi-) Universal problem solving, enabling paradigms of learning, planning, reasoning, analogies, language acquisition and reflection.
A structured memory, including provisions for a world /situation model, a protocol of environmental interactions, procedural memory, declarative and typological abstractions, a model of self, and a ‘mental stage’, to facilitate anticipation and planning.
Decision making and motivational mechanisms, to address both autonomous, goal-directed cognition in complex, open domains, and the genesis of goals and intentions.
The direction and modulation of attention, and the emergence of emotion and affect, which are configurational aspects of cognition that either reflect the allocation of cognitive resources, or structure social interaction.
Constraints for Mental Representations
Based on the emergent paradigm of a new generation of
cognitive architectures, we can think about mental
representations in a new and productive way. More specifically,
we know that mental representations include perceptual and
propositional/conceptual content and we are aware of many
constraints. Mental representations must
Offer support for both connectionist and symbolic processing (including compositionality and grammatical structures), with the latter one being a special case of the former
Possess a hierarchical structure, bottoming out in sensory perception
Cover prototypes, individuals and abstractions
Include perceptual and relational features, objects, situations, and episodic knowledge
Allow simulation of dynamic processes
Solve the bridge problem between fuzzy associative hierarchies and the discrete symbol strings of natural language
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