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Applying developmental-inspired principles to the field of developmental robotics

Bio-inspired principles of development and evolution are a special part of the bio-models and principles that can be used to improve intelligent systems (IS). Such principles are central to cognitive developmental robotics (DR) and its effort to understand cognition by imitating development. DR approach takes inspiration from nature process so that engineered intelligent systems may create solutions to problems in way similar to what is believed to occur with biologics in their natural environment. This paper uses a three-level, bio-inspired framework to illustrate methodological issues in DR research. I stress the importance of using bio-realistic developmental principles to guide research keeping models and implementation separate to avoid the possible of falling into a Ptolemaic paradigm of endless tweaking of models. Several of Lungarella's design principles for developmental robotics are discussed as constraints on intelligence as it emerges from a ecologically balanced, three-way interactions between an agents' control systems, physical embodiment, and the external environment.