A definition and structure of intelligence is suggested based on research results in neurophysiology, psychology, and system theory. Intelligence is defined as the ability to solve problems using space and time resources. The problem solving behavior depends on experience, innovation, solution fusion, and learning mechanisms. Suggestions for implementing these proposed components are provided and discussed, as are cross-disciplinary research results, which support the proposed structure and suggestions for implementation. Implications of the cross-disciplinary structured intelligence (1) on research on artificial intelligence systems such as human-machine systems and on simulation models as well as (2) on intelligence testing are brought into account.