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

By W. Teahan

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Extra info for Artificial Intelligence - Agent Behaviour I [math]

Sample text

However, often the other grammar still remains in pockets throughout the network, and this reflects the formation of dialects and sub-dialects in human social networks in real life. 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).

60 Communication Artificial Intelligence – Agent Behaviour I The code has been slightly modified for visualisation purposes from that provided by the Models Library by reducing the number of agents created and by changing the size and shape of the agents. The setup procedure creates 400 turtle agents at random locations, with one of them designated as having the message at the start. During the go procedure, each agent first moves in a random direction, then each agent who has the message communicates the message to any other agents who are at the same patch location, and finally the colours of each agent are reset to reflect whether they have the message or not.

7 is a screenshot of a boid implemented in NetLogo (see the Obstacle Avoidance 1 model, for example). The image shows the vision cone coloured sky blue with an angle of 300° (the size of the blind spot is therefore 60°). The turtle is drawn using the “directional-circle” shape at the centre of the image and coloured blue, with the white radius line pointing in the same direction as the current heading of the turtle. The width of the cone is dependent on the length parameter passed to the in-cone command and the patch size for the environment.

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