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CPE/CSC 580 Artificial Intelligence -- Intelligent Agents Spring 2006
Status Final
Points 10
DeadlineTue, May 23, 23:59:59

CPE/CSC 580Spring 2006 Artificial Intelligence -- Intelligent Agents Assignment 2: Agent Demo

Goal

This assignment continues the exploration of agent development environments through the implementation of a sample agent (or team of agents) that demonstrate the capabilities of the environment.

Description

For this homework, you need to identify a suitable task for demonstrating the features of your selected environment. You can either select the same environment that you examined for the first assignment, or one of the other ones discussed by somebody else.

Agent Capabilities

The agent should demonstrate at least three of the following capabilities:

Submission and Deadline

Your material should be submitted to the respective Blackboard discussion forum. Please create a thread as soon as you have selected the task and environment for your agent(s), and then post your material.

Grading Criteria

The number of points for this homework is 25. The score will be determined by the following criteria:

A tentative version of the evaluation form I will use is available here: 580-A2-Evaluation.txt; it is essentially the same as for the first assignment. For a high score, your evaluation should probably be at least three pages long. You can use the outline below as guidance for the structure of your writeup.

Task Description

Identify and discuss the main characteristics of the task that your agent (or team of agents) will perform.

Agent Capabilities

Select the capabilities that your agent will be endowed with, and describe how it will use them to accomplish the task identified above.

Agent Design

Describe the overall structure of your agent, and how this embodies the capabilities dicussed in the previous section.

Agent Implementation

Discuss the strategies, methods, and techniques used to implement your agent in the selected environment.

Agent Evaluation

Perform an assessment of how well the agent performs its task. This can range from a proof of concept that simply demonstrates the feasibility of a task with a given agent design, to specific performance measurements.

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