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As human intelligence is fundamentally rooted in human social interaction, we argue that Artificial Intelligence (AI) cannot be studied solely from the point of view of an isolated AI entity but necessitates being “human aware”, explainable and empowering interactions with humans. We see AI as being a complement to human intelligence and not a replacement. Specifically, we develop and advance AI techniques that take into account human and social aspects. This involves giving humans a true social identity in AI systems.
Research areas
- Agent Based Social Simulation (ABSS): Human behaviour modelling and simulation, Belief-Desire-Intention (BDI) agent architecture. Cognitive modelling, social attachment, cognitive biases, human mobility modelling and simulation.
- AI Planning and Scheduling: Reasoning and acting AI systems fulfilling complex user-assigned tasks.
- Human-Robot Interaction: Acceptability, affective computing, dialogue.
Impact areas
- Crisis & Emergency Management: Modelling and simulating human behaviour in earthquakes, floods, bush-fires.
- Autonomous vehicles in shared spaces: Modelling and simulating human behaviour in spaces shared with autonomous vehicles.
- Collaborative Robotics (Cobotics): Robots working with Humans in industrial environment.
- Manufacturing: Invent the “factory of the future”. Human tasks optimised by AI scheduling and algorithms.
- Social Robotics: Social robots in daily life environment interacting closely with Humans.
Keywords
Social interaction Agent Based Social simulation Human-Robot interaction Social Robotics Cognitive architecture Belief Desire Intention (BDI) architecture Interactive Planning formalisation of emotions and trust.
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