This TheCenter aims to encourage joint
projects in focal research areas thus, paving
way to sustainable interactions by promoting excellence and developing long
term relationship based on synergy of activities. The |
Goals of the Center
This Center
is focused on the design and development of computational systems that
learn operate and communicate in a changing, unpredictable environment by
developing high-level representation and motor abilities. The objective is
to design biologically inspired, self-organizing, motivated learning and
problem-solving tools in order to build powerful systems capable of
formulating and achieving complex goals and of communicating and
interacting with their environments using limited computational resources.
The Center will advance understanding of the role of interaction with environment for perception, cognition and intelligence. Specific objectives are to develop an integrated computational model of basal ganglia that explain the multifaceted function of this brain circuit, design learning-memory-anticipation framework, and build biologically inspired network models of sensory-motor functions. Research will focus on theoretical aspects of motivated intelligent systems development and their applications to robots and virtual agents. Specific application areas will include machine learning, learning algorithms, learning architectures, natural language understanding, text-to-speech systems, blind-source separation, mobile robotics, audio processing and image processing, intelligent control, visual motor coordination, sentiment analysis, machine translation, case based reasoning, intrinsically motivated RL algorithms and developmental models of RL. This Center aims at advancing machine learning and cognition and improving learning agents’ capabilities. |