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Overview

This unit focuses on the foundations of automated planning and reasoning and their real-world applications. Autonomous agents are active agents that independently execute actions to achieve a certain goal or goals. These agents perceive their environment and reason and plan in order to effect their environment and achieve their goals. … For more content click the Read More button below.

Offerings

S2-01-CLAYTON-ON-CAMPUS

Requisites

Contacts

Chief Examiner(s)

Dr Mor Vered

Notes

IMPORTANT NOTICE:
The scheduled teaching activities detailed below are subject to change in response to COVID-19, please check your Unit timetable and Unit Moodle site for more details.

Learning outcomes

On successful completion of this unit, you should be able to:
1.

explain the theoretical concepts of automated planning and reasoning techniques

2.

apply agent modelling techniques to analyse, design and implement a small agent-based system

3.

evaluate, design, and implement automated planning and reasoning technique

4.

describe strengths and weaknesses of different automated planning and reasoning approaches for software agents

5.

apply automated planning and concurrent programming techniques to non-trivial distributed problems.

Teaching approach

Active learning

Assessment

1 - In-semester assessment

2 - Examination (2 hours and 10 minutes)

Scheduled and non-scheduled teaching activities

Lectures

Tutorials

Workload requirements

Workload