Subject Code & Title : UFCFE3-15 Introductory Artificial Intelligence For Robotics
Assessment Type : Individual Assignment
Overview of Assessment :
This assignment assesses the following module learning outcomes:
1.Design and implement intelligent solutions using at least two different architectures.
2.Design and implement a range of different search methods.
The assignment is worth 25% of the overall mark for the module.
The assignment is described in more detail in section 2.
This is an individual assignment.
UFCFE3-15 Introductory Artificial Intelligence For Robotics Assignment-West England University UK

Working on this assignment will help you to:

1.Understand how a search-based framework can be used to solve different problems;
2.Gain experience of the practical issues around creating machine learning systems;
3.Demonstrate that you can implement a simple Machine Learning algorithm.
4.If you have questions about this assignment, please post them to the discussion board Search and Machine Learning Coursework Discussion Forum on Blackboard.

Task Specification

In the lectures you will have been introduced to various paradigms for representing models. In the tutorials you will have been introduced to an example C code framework for creating search-based solutions to problems. The task is to use that framework to create a Machine Learning algorithm that can learn predictive Rule-Based models, using a greedy hill-climbing approach. The system will present your code using a number of datasets. Each has 150 examples, split 100:50 between a ‘training set’ and ‘test’ set. Each example contains integer values for 6 features, and a single integer giving the class label between 0 and 5. Your code should:

UFCFE3-15 Introductory Artificial Intelligence For Robotics Assignment-West England University UK

a. implement a train() function that ‘learn’ a set of rules from the training set. Some of the marks will be for implementing the right learning algorithm. For simplicity, your code should not generate solutions with more than 5 rules.
b. implement a predict Label function that provide a predictions for a new case. Some of the marks will be for the effectiveness of your solution, i.e., its accuracy.The code framework, supporting videos, and html documentation of the provided code-base will be provided in the “Assignments->Second Coursework” folder on Blackboard.

Deliverables
The deliverable consists of a single file of C source code called Train And Test.c that implements at least two functions, one called train() and another called predict Label().

UFCFE3-15 Introductory Artificial Intelligence For Robotics Assignment-West England University UK

A.The exact syntax to be implemented will be supplied in the online documentation.
B.The submitted files must make use of the supporting code-base, and produce results in the required format, otherwise they will lose marks.
C.All submissions will be screened for security reasons – for example making “system” calls or excessive memory use in C code will not be permitted.
D. All code should be prepared using an platform-independent standard e.g. ANSI standard C rather than proprietary.

ORDER This UFCFE3-15 Introductory Artificial Intelligence For Robotics Assignment NOW And Get Instant Discount

 

Read More :

KV7002 Human Computer Interaction For Social Change Assignment-Northumbria