Autonomous and Autonomic Intelligent Systems - CMS3417

Assessment 1: Other

Students will undertake a series of formative exercises in the practical sessions. Feedback, advice and guidance will be provided for these exercises.

Other

Assessment 2: Portfolio

Portfolio produced individually on the design and development of an addition to an existing autonomous system using specified software tools, defending the chosen design and critically evaluating the appropriateness of the developed system.

Portfolio

Assessment 1: Portfolio

Portfolio produced individually resulting from answering specific questions on the deployment of autonomous and/or autonomic systems to a particular sector or application, e.g. space craft, sub aqua craft, road transport management, humanoid robots, cars, aircraft, public transport etc. This will include an investigation of the technical and non-technical (legal, trust, institutional, human interface) related issues.

<p>Autonomous systems are intelligent systems that can act independently to accomplish goals based on their knowledge and understanding of their environment and the tasks they have to complete. This module aims to cover the background and requirements for intelligent systems autonomy in a wide range of applications, taken from a computer science and software-oriented viewpoint. As well as the technical challenges of system autonomy, you’ll get the opportunity to study ethical and legal issues, and human factors implications.</p>

School of Computing and Engineering

<p>https://library.hud.ac.uk/readinglists/CMS3417</p>

Computing and Information Systems

CMS3417 - Autonomous and Autonomic Intelligent Systems

Autonomous and Autonomic Intelligent Systems

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

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

Use a range of established techniques or algorithmic methods which implement aspects of autonomic behaviours, in reactive or design autonomy.

Reason with and analyse declarative structures used as logical building blocks of design autonomy.