BIT 3103 FOUNDATIONS OF LEARNING AND ADAPTIVE SYSTEMS KCA Past Paper

UNIVERSITY EXAMINATIONS: 2012/2013
EXAMINATION FOR THE BACHELOR OF SCIENCE IN
INFORMATION TECHNOLOGY
BIT 3103 FOUNDATIONS OF LEARNING AND ADAPTIVE
SYSTEMS
DATE: AUGUST, 2013 TIME: 2 HOURS
INSTRUCTIONS: Answer Question ONE and Any Other TWO Questions

QUESTION ONE
a) Explain the term learning system (2 marks)
b) Explain the concept of Knowhow with no how as used with respect to learning agents
(2 marks)
c) With the aid of a labeled diagram describe the components of a learning system
(7 marks)
d) i) Define the term Artificial Neural Network(ANN) (2 marks)
ii) State FIVE benefits of Artificial Neural Networks(ANNs) (5 marks)
e) Analyze the figures below and in each case determine both the resultant input( I ) of
the neuron prior to the activation stage and the corresponding binary activation output
(Y) (8 marks)
f) Describe each of the following elements of an the adaptive systems (4 marks)
i) Autonomy
ii) Social-ability
QUESTION TWO
a) Explain the following terms; (4 Marks)
i) Learning
ii) Machine Learning
b) Explain the following modes of learning as used with respect to learning systems
i) Induction
ii) Deduction (6 marks)

c) i) “Machine learning is applied in Expert Systems and Knowledge-based Systems”
Explain the term knowledge with respect to this statement (2 marks)
ii) Explain FOUR Characteristics of Knowledge-based Systems (8 marks)
QUESTION THREE
a) Explain the role of decision trees in the development of learning adaptive systems
(4 marks)
b) Describe FIVE advantages of Bayesian modeling (10 marks)
c) With the aid of a diagram describe the four steps to accomplish a Bayesian analysis.
(6 marks)
QUESTION FOUR
a) State TWO limitations of ANNs (2 marks)
b) Highlight the phases of development of an ANNs application (8 marks)
c) Discus FIVE elements of an adaptive system (10 marks)
QUESTION FIVE
a) Explain each of the following types of operative environments of an adaptive system
(10 marks)
i) Fully observable environment
ii) Deterministic environment
iii) Episodic environment
iv) Static environment
v) Discrete environment
b) Discus the following with respect to learning and adaptive systems (10 marks)
i) The Architecture of an agent and the Program of an agent
ii) Reflex response by an agent and the goal of an agent

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