A. Bazzan, J. Wahle, and F. Klugl. Agents in traffic modelling -- from reactive to social behaviour. In W. Burgard, T. Christaller, and A. Cremers, editors, KI-99: Advances in Artificial Intelligence, LNAI 1701, pages 303--306, Berlin, 1999. Springer. Home/Search Document Details and Download
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A Multi-Agent System for On-Line Simulations based on.. - Wahle, Schreckenberg (2001) (1 citation) Self-citation (Wahle) (Correct)
....the traffic situation, i.e. he accelerates, brakes, or changes the lane. Additionally, he collects information, e.g. traffic messages or route recommendations, which influence in his travel behavior [5] In order to describe this complex behavior, a two layer agent architecture is proposed in [4]. The layers are responsible for different tasks of the driver. The basic layer is the tactical layer describing the task of driving. The more sophisticated problems, like route choice behavior and navigation are described by the strategic layer. 3.1. Tactical Layer The tactical layer (Fig. 2) ....
....are typically non logical. As a result, behavior can also be explained by approaches, which additionally consider beliefs, desires or intentions, the so called BDI formalism, which is wellknown in the field of multi agent systems. Such a formalism for a simple commuter scenario is proposed in [4]. The drivers are represented by their individual mental states. One road user trusts in the information, another does not, or only occasionally. Apart from that there is an individual knowledge base and a certain set of plans. A possible plan could be to leave earlier to avoid being late, another ....
A. Bazzan, J. Wahle, and F. Klugl. Agents in traffic modelling -- from reactive to social behaviour. In W. Burgard, T. Christaller, and A. Cremers, editors, KI-99: Advances in Artificial Intelligence, LNAI 1701, pages 303--306, Berlin, 1999. Springer.
Wayward Agents in a Commuting Scenario -.. - Bazzan, Bordini.. (2000) Self-citation (Bazzan) (Correct)
....aspects in traffic simulation, which microeconomics based simulations usually relegate. In [4] we have produced simulations of the Iterated Prisoner s Dilemma (IPD) where we have introduced the idea of groups of agents, and tested ideas from Ridley s [15] theories of moral sentiments. In [5] we have discussed the necessity of changing the paradigm of modelling drivers behaviour in traffic flow systems. It turns out that information can have a serious impact on stability of traffic conditions [16] The next section reviews the fast growing literature on the EFBP. Section 3 presents ....
A. L. Bazzan, J. Wahle, and F. Klugl. Agents in traffic modelling --- from reactive to social behaviour. In W. Burgard, T. Christaller, and A. B. Cremers, editors, Advances in Artificial Intelligence (KI-99), number 1701 in LNAI, pages 303--306, Berlin, 1999. Springer-Verlag.
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