| Social Normative Compliance Description |
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The patches have to be coloured by agents. Each agent randomly moves in the world and when it meets another agent (this means that another agent falls in the radius of observation of the first agent) they can interact. During the interaction social conformers interact imitating each others and norm recognizers interact recording in their architecture observed behaviors and received deontics (in this model we use a simplified version of the social input described above). At the beginning norm recognizers have in their normative board normative beliefs with randomly assigned salience. Runtime, norm recognizers can change the salience of their normative beliefs in accordance with observed behavior and received deontics (increasing the salience when the normative threshold is reached, namely the right number of i) observed behaviors and ii) received deontics are recorded; decreasing the salience, when the action corresponding to the normative belief is not very often used). In the case in which agents can also follow the colors' gradient, agents choose the direction searching the zones of the world where the color they most use in colouring the patches is the most used.
1. Purpose The Model aims to show the environmental effects of the norm recognition module use; simple social compliance effects are compared with normative compliance ones 2. State variables and scales Social Conformers act imitating other agents and trying to perturbate as less as possible the environment; Norm Recognizers act processing information received by other agents to perform the action that perturbs as less as possible the environment. 3. Process overview and scheduling Agents randomly move in the environment and they have to color the patches they reach with one of three possible colors: red, black or gray (each color has a different rate of environmental perturbation: red and black rate > gray rate). Social Conformers act imitating other agents, Norm recognizers act and exchange messages with other agents they meet. 4. Design concepts
4.1 Emergence More or less unifomity in the color of the patches that constitute the world. 4.2 Adaptation
Agents observe the state of the world (e.g. the color of the patch where they are) and Norm Recognizers can process received information by means of the three layer architecure they are equipped with. 4.6 Interaction Agents randomly move in the world and they interact with other agents they meet. 4.7 Stochasticity A stochastic approach to initialize the modals sent at the beginning of the simulation (when agents have no normative beliefs in their minds) is used.
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