: This work presents a new hybrid neuro-fuzzy model for automatic learning of actions taken by agents. The main objective of this new model is to provide an agent with intelligence...
Karla Figueiredo, Marley B. R. Vellasco, Marco Aur...
In recent years, many researchers are studying object categorization problem. It is reported that bag of keypoints approach which is based on local features without topological in...
Agent orientation is currently pursued primarily as a software paradigm. Software with characteristics such as autonomy, sociality, reactivity and proactivity, and communicative an...
Heterogeneous object co-clustering has become an important research topic in data mining. In early years of this research, people mainly worked on two types of heterogeneous data ...
Reasoning about object-oriented programs is hard, due to , dynamic binding and the need for data abstraction and framing. Reasoning about concurrent object-oriented programs is eve...