
This edited volume gives the first-ever book-length presentation of contemporary research in the domain of Artificial General Intelligence (AGI). What distinguishes AGI research from run-of-the-mill AI research is that it is explicitly focused on engineering general intelligence ? autonomous, self-reflective, self-improving, commonsensical intelligence ? in the short term. Bringing the diverse body of AGI research together in a single volume reveals the common themes among various researchers? work, and makes clear what the big open questions are in this vital and critical area of research, as well as highlighting relationships between AI and related fields such as philosophy, neuroscience, linguistics, psychology, biology, sociology, anthropology and engineering.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
