Project ID: STAI-CDT-2021-KCL-8
Themes: Verification
Supervisor: Steffen Zschaler
Agent-based models (ABMs) are an AI technique to help improve our understanding of complex real-world interactions and their “emergent behaviours”. ABMs are used to develop and test theories or to explore how interventions...
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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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Project ID: STAI-CDT-2021-KCL-6
Themes: Logic, Verification
Supervisor: Fabio Pierazzi
This project aims to investigate, design and develop new model-driven methods for AI-based network intrusion detection systems. The emphasis is on designing an AI model that is able to verify and explain its safety...
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