1. Systems Modeling Theory and Practice: Development of modeling and analysis tools, with emphasis on hierarchies of simulations that can be used for verification and testing at different levels of fidelity. A key issue is the development of multiple simulations that can be combined to form high fidelity models while at the same time being used in simpler combinations for rapid testing of highe...

Overview Systems engineering (SE) is an interdisciplinary approach to cope with the ever-increasing complexities of technological systems. The field of SE has imparted valuable insights on optimizing and analyzing complex systems, which have greatly benefited from the methodologies and principles of SE. The approach of SE is to combine classical engineering considerations with the stipulated co...

I want to argue that, whatever some might think, Leibenstein was not so much a mad uncle in the Harvard faculty’s attic (e.g. Stigler 1976 cf. Holden 2005), but rather a brilliant evolutionary economist struggling to escape. My point is that the non-allocative concept of X-efficiency only makes consistent analytical sense in an evolutionary and complex systems theory-based evolutionary framewor...

Complex systems theory pays much attention to simple mechanisms producing nontrivial patterns, especially power laws. However, power laws with exponent τ ≈ 1 also result from complex mixtures of mechanisms that, in isolation, would not necessarily give this type of distribution. Probably, both paths to the power law are relevant in nature. The second gives a plausible explanation for some insta...