150 search results - page 4 / 30 » Observation Expectation Reasoning in Agent Systems |
ICCBR
2010
Springer
13 years 11 months ago
2010
Springer
In this paper we study the topic of CBR systems learning from observations in which those observations can be represented as stochastic policies. We describe a general framework wh...
ATAL
2010
Springer
13 years 9 months ago
2010
Springer
In Open Multi-Agent Systems (OMAS), deciding with whom to interact is a particularly difficult task for an agent, as repeated interactions with the same agents are scarce, and rep...
AAAI
2007
13 years 10 months ago
2007
Many intelligent tutoring systems (ITSs) have been developed, deployed, assessed, and proven to facilitate learning. However, most of these systems do not generally adapt to new c...
IJCAI
2007
13 years 9 months ago
2007
The association of perception and action is key to learning by observation in general, and to programlevel task imitation in particular. The question is how to structure this info...
ATAL
2011
Springer
12 years 7 months ago
2011
Springer
Recent applications of game theory in security domains use algorithms to solve a Stackelberg model, in which one player (the leader) first commits to a mixed strategy and then th...