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This book uses algorithmic information theory as a foundation for the universal evaluation of cognition and the future of intelligence.
José Hernández-Orallo is Professor of Information Systems and Computation at the Universitat Politècnica de València, Spain. He has published four books and more than a hundred articles and papers on artificial intelligence, machine learning, data mining, cognitive science, and information systems. His work in the area of machine intelligence evaluation has been covered by both scientific and popular outlets, including The Economist and New Scientist. He pioneered the application of algorithmic information theory to the development of artificial intelligence tests.
1. Extended nature; 2. Mind the step: scala universalis; 3. The evaluation of human behaviour; 4. The evaluation of non-human natural behaviour; 5. The evaluation of artificial intelligence; 6. The boundaries against a unified evaluation; 7. Intelligence and algorithmic information theory; 8. Cognitive tasks and difficulty; 9. From tasks to tests; 10. The arrangement of abilities; 11. General intelligence; 12. Cognitive development and potential; 13. Identifying social skills; 14. Communication abilities; 15. Evaluating collective and hybrid systems; 16. Universal tests; 17. Rooting for ratiocentrism; 18. Exploitation and exploration.
