Classification is one of the most fundamental problems in machine learning, which aims to separate the data from different classes as far away as possible. A common way to get a g...
Bin Zhang, Fei Wang, Ta-Hsin Li, Wen Jun Yin, Jin ...
This paper aims to investigate methodologies to utilize an agent’s intentions as a means to guide the revision of its beliefs. For this purpose, we develop a collection of belie...
Changing preferences is very common in real life. The expressive power of the operations of preference change introduced so far in the literature is limited to adding new informat...
Probabilistic logic programming is a powerful technique to represent and reason with imprecise probabilistic knowledge. A probabilistic logic program (PLP) is a knowledge base whi...
As the non-playable characters (NPCs) of squad-based shooter computer games share a common goal, they should work together in teams and display cooperative behaviours that are tac...