(2011). The theory of intelligence and its measurement. Intelligence 39 171–177 10.1016/j.intell.2011.03.004 [ Cross Ref ]Jensen AR. The theory of intelligence and its measurement. Intelligence. 2011; 39 (4):171–177. doi: 10.1016/j.intell.2011.03.004. [ Cross Ref ]...
The papers in this volume comprise the refereed proceedings of the conference 'Artificial Intelligence in Theory and Practice' (IFIP AI 2006), which formed part of the 19th World Computer Congress of IFIP, the International Federation for Information Processing (WCC- 2006), in Santiago, Chile in...
Belief revision and nonmonotonic logic are motivated by quite different ideas. The theory of belief revision deals with the dynamics of belief states, that is, it aims at modelling how an agent or a computer system updates its state of b... P GÄ,rdenfors - European Workshop on Logic...
Theory and Practice of Application of Artificial Intelligence Methods Article 01 March 2019 Artificial Intelligence Chapter © 2019 Artificial Intelligence Chapter © 2021 Keywords Artificial intelligence Constraint Satisfaction Multi-agent system algorithms artificial life autonomous system data ...
and discriminatory AI systems, individuals themselves have ironically faced an uphill battle in attempting to prove or articulate these harms as at the individual level. The lack of transparency, the complexity of AI systems, its relative autonomy and dispersed nature can dilute causation to mere ...
The theme of this paper is that the SP Theory of Intelligence (SPTI), and its realisation in the SP Computer Model (SPCM), is a promising foundation for the development of artificial intelligence at the level of people, or higher, also known as ‘artificial general intelligence’ (AGI). ...
“there are many different routes to AGI, involving integration of different sorts of subsystems” and there is no “thorough and systematic theory of AGI.” Rather, it’s a “patchwork of overlapping concepts, frameworks, and hypotheses” that are “often synergistic and sometimes mutually ...
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The theory enhances value creation from BD and AI while identifying its social costs and Governance challenges. We conclude that fostering data sharing (data leakages) in the real world would incentivise research and generate useful knowledge about the societal challenges of data capitalism and its ...