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By W. Teahan

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

Example text

However, the Cartesian co-ordinate plots tend to be limited in the amount of information that can be conveyed (adding names in the left plots, for example, would add significant clutter). Similarly, the parallel co-ordinate plot on the right is constrained to the particular order that the parallel axes are chosen, and it therefore may be more difficult to spot a particular trend if two particular axes are far apart. It does have the advantage though of making it easier to include data for all dimensions on the same plot.

Top left) An imaginary world. (Top right) Virtual orienteering. (Bottom left & right) Screenshots from Second Life. 55 Agents and Environments Artificial Intelligence – Agents and Environments Photo-realistically rendered virtual environments provide an alternative where exact duplication of the real-life environment is necessary. Indeed, a long-term goal of computer graphics is to produce photorealistic results using pseudo-realistic techniques (Roussou and Drettakis, 2003). One method is to use static perspective panoramas that provide a 360° view of the environment, and these are frequently being used on the Internet to allow a user to view how a scene might look like in real-life.

Environments are important for agents, as agent-environment just two: agents and environments. Environments are important for agents, as agent-environment interaction interaction is is necessary necessary for for complex complex agent agent behaviour. behaviour. The The next next part part of of the the book book will will explore explore what what we we mean mean by by environments, environments, and and have have aa look look at at some some environments environments that that mirror mirror the the complexity complexity of of the the real real world.

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