Fake News Detection: Do Complex Problems Need Complex Solutions?

2020 ◽  
Author(s):  
Ignacio Palacio Marín ◽  
David Arroyo
Keyword(s):  
Fake News ◽  
Complex Problems ◽  
Complex Solutions

scholarly journals Competitive Coevolution through Evolutionary Complexification

2004 ◽  
Vol 21 ◽  
pp. 63-100 ◽  
Author(s):  
K. O. Stanley ◽  
R. Miikkulainen
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Arms Race ◽  
Network Architectures ◽  
Complex Problems ◽  
Wide Range ◽  
Competitive Coevolution ◽  
Neural Network Architectures ◽  
Complex Solutions ◽  
Fixed Structure

Two major goals in machine learning are the discovery and improvement of solutions to complex problems. In this paper, we argue that complexification, i.e. the incremental elaboration of solutions through adding new structure, achieves both these goals. We demonstrate the power of complexification through the NeuroEvolution of Augmenting Topologies (NEAT) method, which evolves increasingly complex neural network architectures. NEAT is applied to an open-ended coevolutionary robot duel domain where robot controllers compete head to head. Because the robot duel domain supports a wide range of strategies, and because coevolution benefits from an escalating arms race, it serves as a suitable testbed for studying complexification. When compared to the evolution of networks with fixed structure, complexifying evolution discovers significantly more sophisticated strategies. The results suggest that in order to discover and improve complex solutions, evolution, and search in general, should be allowed to complexify as well as optimize.

Complex problems require complex solutions

1981 ◽  
Vol 12 (1) ◽  
pp. 15-29 ◽  
Author(s):  
Michel Hersen
Keyword(s):  
Complex Problems ◽  
Complex Solutions

scholarly journals Are we facing complex problems or complex solutions? A reflection on urban slum planning through the lens of complexity: A case of Indonesia

2021 ◽  
Vol 916 (1) ◽  
pp. 012014
Author(s):  
Z D W Putra
Keyword(s):  
Literature Review ◽  
Complexity Theory ◽  
Urban Slum ◽  
Urban Slums ◽  
Root Cause ◽  
Complex Problems ◽  
Planning And Management ◽  
Planning Approach ◽  
Complex Solutions ◽  
The Given

Abstract This study aims to reflect on urban slums planning and management through the lens of complexity theory by utilizing Indonesia as a case. This study employs a literature review to explore several problems and provide solutions as implemented in the Indonesian urban slums. The two key reflections were underlined. First, the given spatial solutions generate more complexity by its various type of programs and managements. Second, the root cause of the slums is poverty, despite unachieved by the given non-spatial solutions. This study suggests to refashion the planning approach in dealing with the slums problem to achieve SDGs particularly point 1 and 11, while adjusted to adapt with the COVID-19 situation.

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