949 search results - page 78 / 190 » Can Doxastic Agents Learn |
112
click to vote
SASO
2009
IEEE
15 years 7 months ago
2009
IEEE
—Large-scale agent-based systems are required to self-optimize towards multiple, potentially conflicting, policies of varying spatial and temporal scope. As a result, not all ag...
116
click to vote
ICANN
2005
Springer
15 years 6 months ago
2005
Springer
For this special session of EU projects in the area of NeuroIT, we will review the progress of the MirrorBot project with special emphasis on its relation to reinforcement learning...
113
click to vote
CN
2000
15 years 19 days ago
2000
We envision a future in which the global economy and the Internet will merge and evolve together into an information economy bustling with billions of economically motivated softw...
125
Voted
ATAL
2006
Springer
15 years 4 months ago
2006
Springer
We study how decentralized agents can develop a shared vocabulary without global coordination. Answering this question can help us understand the emergence of many communication s...
95
Voted
AAAI
2008
15 years 3 months ago
2008
We introduce the problem of zero-data learning, where a model must generalize to classes or tasks for which no training data are available and only a description of the classes or...