August 2008 | Ieee Computational Intelligence Magazine 11 toward Human Level Machine Intelligence— Is It Achievable? the Need for a Paradigm Shift
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- José Hernandez-Orallo
- Vincent Chiew
- Bernhard Sendhoff
- Edgar Körner
- Olaf Sporns
- David L. Dowe
- Yingxu Wang
- D. Bassett
Citations in the corpus
- Creating Brain-Like Intelligence (2009, background): “These research areas have all been and still are successful in many disciplines, however, their contribution to a better understanding of the brain and hence to achieve brain-like intelligence has been limited (although recently Zadeh [ 4 ] has argued that fuzzy systems are a prerequisite to achieve”
- On the cognitive process of human problem solving (2010, background): “…of 64 cognitive and information sciences that investigate into 65 the internal information processing mechanisms and pro- 66 cesses of the natural intelligence – human brains and minds 67 – and their engineering applications ( Wang, 2002b, 2003a, 68 2007b; Zadeh, 2008a; Zadeh, 2008b; Zhong, 2006).”
- Measuring universal intelligence: Towards an anytime intelligence test (2010, background): “Definition 3 , although very simple , captures one of the broadest definitions of intelligence : " the ability to adapt to a wide range of environments " .”