ICT371 - Artificial Intelligence - Behave Intelligently - IT Assignment Help

Assignment Task

Overview of the Subject
The goal of Artificial Intelligence is to build software systems that behave "intelligently". That is, do these computer systems "do the right thing" in complex environments? Do they act optimally given the limited information and computational resources available? How is this aim interpreted? This subject covers the core topics of Artificial Intelligence such as knowledge representation, reasoning, and learning. Students will learn to design and analyse autonomous agents that do the right thing in the face of limited computational resources and limited information. This subject examines agents that can effectively make decisions in fully observable, partially observable and adversarial environments, and agents that can adapt their actions by learning from experience.

Subject Learning Outcomes

a) Identify problems that are amenable to solution by AI methods and select AI methods suited to solving such problems
b) Formulate a given problem in the language/framework of different AI methods (for example, as a search problem, as a constraint satisfaction problem, or as a planning problem)
c) Analyse AI algorithms (e.g., standard search or constraint propagation algorithms)
d) Solve simple problems using AI techniques and algorithms.

Resource Requirements

• Dedicated computer laboratories are available for student use. Normally, tutorial classes are conducted in the computer laboratories
• Students are expected to attend classes with the requisite textbook and must read specific chapters prior to each tutorial. This will allow them to actively take part in discussions. Students should have elementary skills in both word processing and electronic spreadsheet software, such as Office 365 or MS Office
• Computers and WIFI facilities are extensively available for student use throughout KOI. Students are encouraged to make use of the campus Library for reference materials
• Students will require access to the internet and email. Where students use their own computers, they should have internet access. KOI will provide access to required software.

Question1: Determine what type of agent architecture is most appropriate (table lookup, simple reflex, goal-based, or utility-based). Give a detailed explanation and justification of your choice.
Question 2: Describe the (internal) evaluation function that might be used by the Tsunami Activity Reporter. Is it a static or a dynamic evaluation function?
Question 3: Assume that you designed a utility-based agent for the Tsunami Activity Reporter (whether or not the problem warrants it). Describe the utility function that it might use.
Question 4: What (external) performance measures would you recommend for your Tsunami Activity Reporter?
Question 5: Describe the properties of the environment of the Tsunami Activity Reporter in terms of the principal distinctions we can make (accessible vs. inaccessible, deterministic vs. nondeterministic, episodic vs. none-pisodic, static vs. dynamic vs. semi-dynamic, discrete vs. continuous). That is, identify in detail which properties are characteristic of the environment described, and give a justification for your description.

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