3 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. - Astructured 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 HOUSE_OVERSIGHT_02