CMS3417 Autonomous and Autonomic Intelligent Systems-relevant application areas

CMS3417 Autonomous and Autonomic Intelligent Systems-relevant application areas

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CMS3417 Autonomous and Autonomic Intelligent Systems

Task:

Assignment Aims

• Gain a critical understanding of the technical and non-technical challenges in deploying complex autonomous intelligent computer systems.

• Explore in depth the particular case study of autonomic functions in an air traffic control application.

Learning Outcomes

1. Critically evaluate autonomous and autonomic systems, their architectures and implementation challenges.

2. Analyse current practices in embodying systems with autonomy in relevant application areas, and related ethical and human-related issues.

Assessment Brief

En-route ATC is the safe management of a body of aircraft which are airborne and travelling through an (or a sequence of) airspace. This is in contrast to other operations, such as landing and take-off, or devising flight plans before an aircraft is airborne. Managers in the Civil Aviation Authority (CAA) of an island country called Westralia are keen to implement autonomic functions into their en-route ATC operations covering their surrounding oceanic airspaces. Currently ATC operations in Westralia are performed manually, with some software support tools such as conflict probes. The Managers of the country’s CAA have learnt about recent developments in AAIS, and decide it is time to make their en-route

operations completely autonomous, and their en-route software autonomic.

As part of this development, they are considering:

• The creation and use of a Conflict Prediction Specification for Westralia (CPSW) as the STANDARD for aircraft separation over Westralia’s huge surrounding ocean (similar to the CPS for the North East Atlantic we see in the module)

• The creation and use of an automatic translator of the CPSW into a program (OCPSW – the operational CPSW) which will do Conflict Prediction, (i.e. performing a conflict probe).

• Using a reinforcement Learning Algorithm to self-maintain the CPSW.

• Implementing a self-management function for en-route ATC which automatically resolves any conflict in an aircraft’s flight plan, by producing a new set of separated flight plans for aircrafts in the region and communicates this new flight plan to the aircraft(s) involved. 

CMS3417 Autonomous and Autonomic Intelligent Systems

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