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Soort opdracht: Afstudeeropdracht
Studierichting: Informatica/Computer Science
Titel van de opdracht:
Intent-Based coordination using a Belief-Desire-Intention agent
With 80.000 talents working in 68 countries, we are one of the biggest high-tech employers in the field of safety and security. In the Netherlands, where 2000 employees are based, we are located in four cities: Huizen, Delft, Eindhoven and Hengelo (HQ). Together with an extensive ecosystem of knowledge partners, customers and suppliers, we work on radars for naval vessels, cyber security solutions, transportation systems, communication equipment for land forces, cryogenic cooling solutions, research & development for radar tech (in collaboration with TU Delft).
About the assignment
Distributed systems are more and more running in a dynamic context. Different modes of operation are requested dependent of the ships mission. New functionality is regularly added during the lifetime of systems. System have to cope with failing hardware resources or have to share hardware resources with other systems.
To be able to built these systems a dynamic architecture is required. Within research projects we developed a reference architecture using real-time resource monitoring in combination with constraint-based dynamic deployment to ensure an adaptable system capable of handling resource, environmental and/or functional usages
The assignment is to research and prototype a Belief-Desire-Intention (BDI) agent to coordinate the desired end-user functionality in terms of high level (invariant) intents.
The BDI agent should use the existing resource and application monitoring to create a belief set and should instruct the existing constraint-based resolver to actualize the requested intent in a coordinated manner.
The BDI agent must – at least - consider software redundancy for time critical parts, distributed and redundant data storage requirements including delay constraints, expected and/or measured jitter and the variability in the input data.
Software Modularity, Dynamic Reconfiguration, Artificial Intelligence, Intelligent Agent
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