2178 search results - page 80 / 436 » Problems of learning in multi-agent systems |
ACSC
2008
IEEE
14 years 15 hour ago
2008
IEEE
Recurrent neural networks are able to store information about previous as well as current inputs. This "memory" allows them to solve temporal problems such as language r...
ECTEL
2010
Springer
13 years 10 months ago
2010
Springer
As Technology Enhanced Learning (TEL) systems become more essential to education there is an increasing need for their creators to reduce risk and to design for success. We argue t...
APIN
1999
13 years 9 months ago
1999
The Connectionist Inductive Learning and Logic Programming System, C-IL 2 P, integrates the symbolic and connectionist paradigms of Artificial Intelligence through neural networks...
CORR
2000
Springer
13 years 9 months ago
2000
Springer
This paper takes a computational learning theory approach to a problem of linear systems identification. It is assumed that inputs are generated randomly from a known class consist...
SIGCSE
2004
ACM
14 years 3 months ago
2004
ACM
Multiagent systems is an attractive problem solving approach that is becoming ever more feasible and popular in today’s world. It combines artificial intelligence (AI) and distr...