Artificial Intelligence - Exercises - Agents and by W. Teahan

By W. Teahan

Show description

Read Online or Download Artificial Intelligence - Exercises - Agents and Environments [math] PDF

Best nonfiction_7 books

Collaborative Virtual Environments: Digital Places and Spaces for Interaction

Collaborative digital Environments (CVEs) are on-line electronic locations and areas the place we will be involved, play jointly and interact, even if we're, geographically talking, worlds aside. we will hang around, current substitute selves, engage with sensible and exceptional gadgets and perform most unlikely manoeuvres.

Dissociative Recombination of Molecular Ions with Electrons

Dissociative Recombination of Molecular Ions with Electrons is a finished choice of refereed papers describing the newest advancements in dissociative recombination learn. The papers are written by way of the top researchers within the box. the subjects coated contain using microwave afterglows, merged beams and garage earrings to degree fee coefficients and to spot the goods and their yields.

Extra info for Artificial Intelligence - Exercises - Agents and Environments [math]

Example text

Why do you think ‘run’ has many more gradations in the dictionary entries than for the other movement related words ‘walk’ and ‘crawl’? Note that the words ‘move’ and ‘go’ also have many gradations, but not as many as ‘run’. 1: Write down the set of instructions (using the commands forward, left and right) that will get a turtle agent to navigate from the following starting point shown in the left image below to the point shown in the right image below: The dimensions of the black square are 60 patches by 60 patches.

12. 12. The Santa Fe Ant Trail. 51 Artificial Intelligence: Exercises – Agents and Environments 3. ’ character to indicate that the patch is not on the trail, the ‘1’ character to indicate where the food is on the trail, and the ‘0’ character to indicate where the trail is but with no food. In the image shown, the non-trail patches are light green, the food patches on the trail dark green, and the non-food patches on the trail are brown. The Santa Fe Ant Trail problem is to evolve a computer program that will provide the instructions for an ant to follow the trail.

THINGS TO TRY See what happens when you change the value of the sliders. Try changing the Settings of the environment such as the Patch size and the maximum and minimum x and y co-ordinates. EXTENDING THE MODEL Try adding a turtle agent to move around the maze. RELATED MODELS See the Empty Maze and Chevening House Maze models. html 54 Artificial Intelligence: Exercises – Agents and Environments 3. 2. Screenshot of the Interface for the Chevening House Maze model after the setup-chevening-maze button has been pressed.

Download PDF sample

Rated 4.26 of 5 – based on 35 votes