An interactivist-constructivist approach to intelligence: Self-directed anticipative learning
By Wayne Christensen, Cliff A. Hooker. 2000
132 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Cognitive Neuroscience, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/8a0dffbdf65ad747fb420f555fd582e55ff2af1e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Giulio Sandini
- Giorgio Metta
- David Vernon
- Pierre-Yves Oudeyer
- Manuel Lopes
- John K. Tsotsos
- Iuliia Kotseruba
- Kerstin Dautenhahn
In Cognitive Neuroscience
In Computational Theory and Mathematics
Citations in the corpus
- Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm (2005, unknown): “Later, the Cosenza group in Italy achieved some notable successes, despite the need for significant operator intervention to avoid the problem of trapping in local minima [10,11].”
- A Survey of Artificial Cognitive Systems: Implications for the Autonomous Development of Mental Capabilities in Computational Agents (2007, background): “…approaches assert that the primary model for cognitive learning is anticipative skill construction rather than knowledge acquisition and that processes that both guide action and improve the capacity to guide action while doing so are taken to be the root capacity for all intelligent systems [15].”