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This paper defines and discusses Mouse Level Computational Intelligence(MLCI) as a grand challenge for the coming century. It provides a specificroadmap to reach that target, citing relevant work and review papers anddiscussing the relation to funding priorities in two NSF funding activities:the ongoing Energy, Power and Adaptive Systems program (EPAS) and the recentinitiative in Cognitive Optimization and Prediction (COPN). It elaborates onthe first step, vector intelligence, a challenge in the development ofuniversal learning systems, which itself will require considerable new researchto attain. This in turn is a crucial prerequisite to true functionalunderstanding of how mammal brains achieve such general learning capabilities.

From ADP to the Brain: Foundations, Roadmap, Challenges and Research Priorities