Can one measure complexity?

          @misc{ scivideos_PIRSA:05050026,
            doi = {},
            url = {https://pirsa.org/05050026},
            author = {},
            keywords = {},
            language = {en},
            title = {Can one measure complexity?},
            publisher = {Perimeter Institute for Theoretical Physics},
            year = {2005},
            month = {may},
            note = {PIRSA:05050026 see, \url{https://scivideos.org/pirsa/05050026}}
          }
          

Abstract

Imagine doing mechanics without a precise notion of time, or thermodynamics without a definition of temperature. There is a huge recent upspring of "complex systems" research, with research institutes, journals and conferences devoted to it. Yet, there is no commonly agreed notion of what actually is "complexity". Can one give an operational definition of what is complexity, so that one can at least decide objectively and unambiguously whether a human is more complex than a bacterium? Or at least more complex than a stone? In my talk I want to give a review of attempts made during the last 30 years to define "complexity" in such a way that it agrees with the intuitive notion shared by most natural scientists. It will turn out that there are close connections to similar notions in computer science ("complexity of an algorithm") and in information theory ("algorithmic complexity"). There are subtleties which make it very unlikely that the above questions can ever be answered in the affirmative, but existing definitions of complexity can be useful when restricted to more narrowly limited problems.