44 search results - page 9 / 9 » Model Theory for PRS-Like Agents: Modelling Belief Update an... |
ATAL
2005
Springer
13 years 10 months ago
2005
Springer
In this paper we combine existing work in the area of social laws with a framework for reasoning about knowledge in multi-agent systems. The unifying framework in which this is do...
SOFSEM
2010
Springer
14 years 1 months ago
2010
Springer
Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...
ATAL
2011
Springer
12 years 4 months ago
2011
Springer
In modal logic, when adding a syntactic property to an axiomatisation, this property will semantically become true in all models, in all situations, under all circumstances. For i...
NECO
2007
13 years 4 months ago
2007
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...