3406 search results - page 401 / 682 » Modelling situations in intelligent agents |
147
click to vote
ECAI
2004
Springer
15 years 10 months ago
2004
Springer
One important aspect in directing cognitive robots or agents is to formally specify what is expected of them. This is often referred to as goal specification. For agents whose act...
167
click to vote
AAAI
2008
15 years 9 months ago
2008
An important feature of many problem domains in machine learning is their geometry. For example, adjacency relationships, symmetries, and Cartesian coordinates are essential to an...
191
click to vote
AAAI
2007
15 years 9 months ago
2007
In designing Markov Decision Processes (MDP), one must define the world, its dynamics, a set of actions, and a reward function. MDPs are often applied in situations where there i...
179
click to vote
AAAI
1998
15 years 8 months ago
1998
qYaditionally, constraint satisfaction problems(CSPs) are characterized using a finite set of constraints expressed within a common,shared constraint language. Whenreasoning acros...
192
click to vote
AAAI
1998
15 years 8 months ago
1998
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...