Скачать или смотреть Redefining Complexity Science Using Functional State Spaces

Following Stephen Wolfram's work exploring how complex systems can be composed from simple ones, as described in his book "A New Kind of Science", this talk explores the idea that the human cognitive system, as well as other dynamically stable systems occurring in nature whose behavior can be described in terms a closed set of reversible forces or functions, including possibly the observable physical universe itself, can potentially be represented as navigating hypothetical constructs called "functional state spaces". If so, then these human and other systems are "functional state space computers", and are isomorphic to the degree that they are all solving the same problem of computing their paths through their functional state space in a way that maintains dynamical stability in a corresponding "fitness space". The importance of this perspective is that these hypothetical functional state spaces are networks in which complexity has the same definition, and network effects can be defined within them that create the possibility of exponentially increasing the ability of humans to navigate complexity in those systems, that is, these network effects create the possibility of exponentially increasing the ability of human groups to solve any problems in general with respect to understanding any systems that can be described this way.