天发娱乐棋牌_天发娱乐APP-官网|下载 research
We address:
- models of safety
- responsibility and optimisation for artificial intelligence (AI) systems
- reinforcement learning
- game theory and negotiation
- mechanism design
- reasoning and learning under uncertainty
- ethical and responsible AI
Human-in-the-loop interaction
Research challenges in this area include exploring how to build better human-in-the-loop AI systems which use AI o support and augment human performance. This both enhances interaction experiences for humans and uses human expertise to enhance AI performance.
天发娱乐棋牌_天发娱乐APP-官网|下载 research includes:
- human-system/robot interaction
- natural language processing
- machine listening
- human-agent collaboration
- citizen centric AI
Autonomous systems
This area of research involves looking at how systems evolve, learn and adapt enable us to better understand complex networks of individual actors. 天发娱乐棋牌_天发娱乐APP-官网|下载 research in this area spans:
- evolutionary computation and evolutionary biology
- complex economic systems and social networks
- and complex multi-robot systems