Highlights
Task:
1) Intelligent agents (3 points)
The purpose of this task is that you will sample the state-of-the-art within AI research, and relate this to the coursebook intelligent agent framework. The following tasks are examples of areas where AI technology has been successful in the last few years:
a) Characterize the task environment, according to the following six dimensions, as described and discussed in Russel & Norvig, chapter 2:
1. Fully vs. partially observable
2. single agent vs. multiagent
3. deterministic vs. stochastic
4. episodic vs. sequential
5. static vs. dynamic
6. discrete vs. continuous The characterization of the task environments above may have several correct answers, depending on how you interpret the task. When grading, the main emphasis will be on coherence amongst your answers and how well you reason and motivate your answers. So, think for yourselves and do not confer with classmates!
b) Perform a literature search and find a recent (from 2017 onwards), peer-reviewed journal paper within that area. Briefly describe how you performed the search (databases and/or search engines used, journals targeted, search terms, any filtering criteria, etc).
c) Summarize the paper according to the following points:
1. That is the problem statement or objective in the paper, i.e. what problem do the authors attempt to solve?
2. What is the method used?
3. What are the main conclusions of the work? 2
2) General problem solver (2 points) This question may be solved in pairs The farmer-goat-wolf-cabbage river crossing problem (a.k.a Farmer Crosses River Puzzle) is an old problem often used to illustrate uninformed search.
a) Give a formal description of this problem, i.e., define/describe:
A state
The start and goal states using your suggested state representation
The operations/rules
b) Show how GPS solves the problem using breadth first search by giving the different lists (OPEN, CLOSED and NEW) for every step.
c) How is the actual solution (the set of moves) retrieved?
3) Evolutionary optimization (5 points) This question may be solved in pairs This task is intentionally very open-ended, and the marking will depend on the quality of the submitted solution and report. You shall implement and evaluate an evolutionary solution for an optimization problem of your own choice. Two possible candidate problems are n-queens and TSP (traveling salesperson problem).
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