Intelligence without representation
Artificial Intelligence
On the Length of Programs for Computing Finite Binary Sequences
Journal of the ACM (JACM)
SIMULA: an ALGOL-based simulation language
Communications of the ACM
Achieving Artificial Intelligence through Building Robots
Achieving Artificial Intelligence through Building Robots
Statistical mechanics of complex networks
Statistical mechanics of complex networks
Computational Modeling of Genetic and Biochemical Networks (Computational Molecular Biology)
Computational Modeling of Genetic and Biochemical Networks (Computational Molecular Biology)
Model checking-based safety verification for railway signal safety protocol-I
International Journal of Computer Applications in Technology
Bio-inspired computation: success and challenges of IJBIC
International Journal of Bio-Inspired Computation
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The need to understand and manage complex systems is increasing in importance, but complexity theory is still hampered by being highly fragmented in nature. This article argues that many elements for a general theory of complexity now exist and briefly reviews the main features. First, the universal nature of network model of complexity provides a suitable foundation for a general theory. A brief summary of the network model is followed by a discussion of related issues, including simulation, dynamics and self-organisation. Gaps identified include the need for formal methods to describe complexity and to identify structural equivalence. Finally, some important lessons from biology are summarised.