Project ID: STAI-CDT-2021-KCL-13
Themes: AI Planning, AI Provenance, Logic, Norms, Verification
Supervisor: Luca Vigano
Explanations can help all the stakeholders of AI systems and Cybersystems to make better choices. In particular, they can help human users to understand and trust the choices of autonomous systems or to interact in a safe...
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Project ID: STAI-CDT-2021-IC-19
Themes: Logic, Verification
Supervisor: Nobuko Yoshida
Robotics applications involve programming concurrent componentssynchronising through messages while simultaneously executing motionactions that control the state of the physical world. Today, theseapplications are...
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Project ID: STAI-CDT-2021-IC-15
Themes: AI Planning, Reasoning, Verification
Supervisor: Antonio Filieri
Adaptive cyber-physical systems rely on the composition and coordinated interaction of different decision-making procedures, each typically realized with specific AI methods. Cyber components capabilities and semantics are...
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Project ID: STAI-CDT-2021-IC-3
Themes: AI Planning, Verification
Supervisor: Francesco Belardinelli
In Reinforcement Learning (RL) autonomous agents have typically to choose their actions in order to maximise some notion of cumulative reward [1]. Tools and techniques for RL have been applied successfully to domain as...
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Project ID: STAI-CDT-2021-IC-4
Themes: Verification
Supervisor: Wayne Luk
Agent-based models (ABMs) are powerful methods to describe the spread of epidemics. An ABM treats each susceptible individual as an agent in a simulated world. The simulation algorithm of the model tracks the health status...
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Project ID: STAI-CDT-2021-IC-6
Themes: Logic, Verification
Supervisor: Alessio Lomuscio
The effective development and deployment of single-robot systems is known to be increasingly problematic in a variety of application domains including search and rescue, remote exploration, de-mining, etc. These and other...
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Project ID: STAI-CDT-2021-IC-7
Themes: Logic, Verification
Supervisor: Alessio Lomuscio
State-of-the-art present perception systems, including those based on Lidar or cameras, are increasingly being used in a range of critical applications including security and autonomous vehicles. While the present deep...
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Project ID: STAI-CDT-2021-IC-8
Themes: AI Planning, Logic, Verification
Supervisor: Alessio Lomuscio
In autonomous and multi-agent systems players are normally assumed rational and cooperating or competing in groups to achieve their overall objectives. Useful methods to study the resulting interactions come from game...
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Project ID: STAI-CDT-2021-IC-9
Themes: Logic, Verification
Supervisor: Alessio Lomuscio
Considerable work has been carried out in the past two decades on Verification of Multi-Agent Systems. Various methods based on binary-decision diagrams, bounded model checking, abstraction, symmetry reduction have been...
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Project ID: STAI-CDT-2021-IC-10
Themes: Logic, Verification
Supervisor: Sergio Maffeis
Machine learning (ML) techniques such as Support Vector Machines, Random Forests and Neural Networks are being applied with great success to a wide range of complex and sometimes safety-critical tasks. Recent research in...
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Project ID: STAI-CDT-2021-IC-13
Themes: Verification
Supervisor: Antonio Filieri
Learning and decision-making AI components are gaining popularity as enablers of modern adaptive software. Common uses include, for example, the classification or regression of incoming data (e.g., face recognition), the...
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Project ID: STAI-CDT-2021-KCL-4
Themes: AI Planning, Verification
Supervisor: Steffen Zschaler
When using complex algorithms to make decisions within autonomous systems, the weak link is the abstract model used by the algorithms: any errors in the model may lead to unanticipated behaviour potentially risking...
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