Please Note: You can book this course and hold it in credit until you have decided on a specific course date. Alternatively, please view our other course dates
Please Note: You can book this course and hold it in credit until you have decided on a specific course date. Alternatively, please view our other course dates
BCS Membership Offer: If you do not hold a BCS certification and successfully pass the examination for this training course - you will be given one year's complementary BCS Membership. This offer is only valid for your first BCS qualification.
This award sits within the Machine learning And Other AI Techniques area of the AI Foundation Pathway offering you core knowledge and a defined progression route to a technical career in AI.
You'll learn about:
1. Introduction To Knowledge-Based Systems
You will be able to:
1.1 Describe how a Knowledge-Based System works and its role within an AI solution
1.2 Explain the difference between knowledge-based intelligence and computational intelligence
1.3 Explain how a Knowledge-Based System complements Machine Learning.
1.4 List examples of Knowledge-Based Systems.
2. Rules
You will be able to:
2.1 Explain the use of rules within a Knowledge-Based System.
2.2 List examples of statements used within rules.
2.3 Explain the difference between forward chaining and backward chaining
2.4 Discuss why you might make use of AI to create a digital ecosystem as a driver or enabler.
3. Case-Based Reasoning
You will be able to:
3.1 Describe the use of case-based reasoning
3.2 List the stages of case-based reasoning.
4. Uncertainty
You will be able to:
4.1 Explain the concept of uncertainty in Knowledge-Based Systems.
4.2 Describe the use of Fuzzy Logic.
5. The Inference Engine
You will be able to:
5.1 Explain the role of the Inference Engine.
5.2 Describe how the inference engine uses rules to derive facts.
5.3 Describe knowledge-based systems in relation to intelligent agents
There are no specific entry requirements for this award. However, some professional experience in a business or IT environment may be advantageous.
The following titles are suggested reading for anyone undertaking this award. You should be encouraged to explore other available sources.
Title: Knowledge-Based Systems
Author: Rajendra Akerkar, Priti Sajja
Publisher: Jones & Bartlett Learning, 2010
Publication Date: 30th Aug 2010
ISBN: 0763776475, 9780763776473
BCS Foundation Award - Knowledge Based Systems Examination:
Candidate Responsibilities
Create Proctor Session
Other Machine Learning & Other AI Techniques awards in the AI Foundation Pathway include:
Knowledge-Based Systems are designed to capture human expertise in order to enable AI applications to make intelligent decisions.
Through completion of this award candidates will have the ability to recognise Knowledge-Based Systems, gain an understanding of how they work, and consider how they can add value to an organisation.
Our BCS Foundation Award - Knowledge Based Systems training course will teach you about knowledge-based systems, what they are, how they work, how they complement machine learning, and how they deal with uncertainty, so you’re able to recognise when and where they add value.
Our BCS Foundation Award - Knowledge Based Systems training course is delivered over three days.
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