![]() We conducted an experimentation in which we exposed a group of 17 learners to a series of pictures from the International Affective Picture System (IAPS) while their electrical brain activity was recorded. In this paper we discuss how learner’s electrical brain activity can be influenced by emotional stimuli. HOW DO EMOTIONAL STIMULI INFLUENCE THE LEARNER’S BRAIN ACTIVITY? - Tracking the Brainwave Frequency Bands Amplitudes The model is designed in such a way that it can be compared with data resulting from a large scale empirical study. This paper contributes a dynamical agent-based approach to simulate social learning of adolescence-limited criminal behaviour, illustrated for a small school class. This kind of behaviour is largely influenced by the interaction with others, through social learning. A large group of offenders only shows criminal behaviour during adolescence. Klein and Tibor BosseĬriminal behaviour exists in many variations, each with its own cause. Also efficiency and practicability of the proposed methodologies are under debate since the amount and quality of the executable MAS components, gained automatically, appear to be not sufficient.Full Papers Short Papers Posters Area 1 - Artificial Intelligence Full Papers Paper Nr:ĪGENT-BASED SIMULATION OF SOCIAL LEARNING IN CRIMINOLOGYĬharlotte Gerritsen, Michel C. However most of the approaches are incapable of supporting multiple MAS environments due to the restricted specifications of their metamodels and model transformations. Our evaluation has shown that the researchers contributed to the area by providing MDD processes in which design of the MASs are realized at a very high abstraction level and the software for these MASs are developed as a result of the application of a series of model transformations. In this paper, we give a state of the art survey on above mentioned model driven MAS development research activities and evaluate the introduced approaches according to five quality criteria we define on model driven MAS engineering: (1) definition of a platform independent MAS metamodel, (2) model-to-model transformability, (3) model-to-code transformability, (4) support for multiple MAS platforms and finally (5) tool support for software modeling and code generation. Reorganization of the existing MAS development methodologies to support model driven agent development is another emerging research track. Within this direction, AOSE researchers define MAS metamodels in various abstraction levels and apply model transformations between the instances of these metamodels in order to provide rapid and efficient implementation of the MASs in various platforms. Contributions are mainly based on the Model Driven Architecture (MDA) which is the most famous and in-use realization of MDD. For this reason, MDD of autonomous agents and MASs has been recognized and become one of the research topics in Agent-oriented Software Engineering (AOSE) area. This paradigm shift introduced by the MDD may also provide the desired abstraction level during the development of MASs. ![]() As one of the promising software development approaches, Model Driven Development (MDD) aims to change the focus of software development from code to models. To work in a higher abstraction level is of critical importance for the development of Multi-agent Systems (MAS) since it is almost impossible to observe code level details of such systems due to their internal complexity, distributedness and openness.
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