Name
Abstract | ||
|---|---|---|
It is claimed that, in the nascent 'Cognitive Era', intelligent systems will be trained using machine learning techniques rather than programmed by software developers. A contrary point of view argues that machine learning has limitations, and, taken in isolation, cannot form the basis of autonomous systems capable of intelligent behaviour in complex environments. In this paper, we argue that the unique strengths of Belief-Desire-Intention (BDI) agent programming languages provide an ideal framework for integrating the wide range of AI capabilities necessary for progress towards the next-generation of intelligent systems. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.5555/3463952.3464213 | AAMAS |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rafael H. Bordini | 1 | 1335 | 94.94 |
| Amal El Fallah-Seghrouchni | 2 | 443 | 53.60 |
| Koen V. Hindriks | 3 | 238 | 37.43 |
| Brian Logan | 4 | 803 | 89.41 |
| Alessandro Ricci | 5 | 1853 | 131.18 |