Artificial Intelligence - Agent Behaviour I [math] by W. Teahan

By W. Teahan

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Note that, as with all implementations, there are various ways of producing each of these behaviours. For example, we have already seen wall following behaviour demonstrated by the Wall Following Example model described in the previous chapter, and by the Wall Following Example 2 model described in this chapter. Although the behaviour is not exactly the same for both models, the outcome is effectively the same. 7 that is at the heart of the boids behavioural model. Two models have been developed to demonstrate obstacle avoidance.

4 Communicating Behaviour Communicating behaviour comes in many forms. 2 lists some of the many different forms of communicating behaviour in humans. The table lists the behaviour (speaking, writing, signing and so on) and the medium in which the communication takes place (for example, for writing, the medium is usually paper). This is closely related to the human sense(s) and language being used to decode the information being communicated as listed in the table. Also listed is whether the communication is one-to-one or one-to-many, whether the receiver agent needs to decode the information immediately otherwise it will be lost or has the ability to delay the decoding, and whether the sender and receiver agents need to be close to each other in order to carry out the form of communication, or whether it can be performed remotely.

3 Code to create the network for the Being Kevin Bacon model.

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