Dealing with norms within the packet world multi-agent simulator
Year: 2010
Type: dissertation
Abstract: Norms are expectations of an agent about the behavior of other agents in\nthe society. The human society follows norms such as wait in queues and\ngiving gifts at birthdays. Norms are of interest to researchers because they\nhelp to improve the predictability of the society.\nMulti Agent Systems (MAS) are formed by a set of agents that interact\nin an environment to engage goals that can be individuals or collective. In\nthese systems norms improve cooperation and coordination between agents\nand reduce the computation time required by agents to the decision-making\nprocess. Also limits the search space since agents shouldn't perform actions\nthat violate the norms of the running environment.\nUsually it is complicated to de ne norms due to the complexity of the\nsystems and dynamicity of the environment. In Open MAS, agents (devel-\noped by di erent companies) compete against each other and it is hard to\nensure that all them will behave as expected, this di cult the decision of\nwhich norms should be set. Therefore, tools to test and evaluate agent's\nbehavior using norms are needed and a way of doing it is through simulated\nenvironments.\nThe purpose of this thesis is to extend the functionalities of the Packet\nWorld simulator by implementing a test bed where norms could be easily\nadded and modi ed in order to evaluate the di erent outcomes of these\nnorms. With the Normative Packet World developed, some norms where proposed and evaluated.\nThe layout of this work follows the following structure; in section 2\nwe give a brief overview of the Packet Work architecture, in section 3 we\nexplain the proposed extension of the system, in section 4 we present the\nlaws already implemented in the Packet World and the institutional norms\nand norms added, in section 5 we detail the agent's normative behavior\ndeveloped to test the norms, in section 6 the results of di erent experiments\nare explained and in section 7 the conclusions of this work are presented.
Author: Patricio E. Petruzzi
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W277515073