By Gordan Jezic, Robert J. Howlett, Lakhmi C. Jain
Agents and multi-agent platforms are with regards to a contemporary software program paradigm which has lengthy been recognized as a promising know-how for constructing autonomous, complicated and intelligent systems. The topics lined during this quantity contain agent-oriented software program engineering, agent co-operation, co-ordination, negotiation, association and communication, distributed challenge solving, specification of agent communication languages, agent privacy, defense and security, formalization of ontologies and conversational agents.
The quantity highlights new tendencies and challenges in agent and multi-agent study and comprises 38 papers classified in the subsequent particular topics: learning paradigms, agent-based modeling and simulation, enterprise version innovation and disruptive technologies, anthropic-oriented computing, critical video games and business intelligence, design and implementation of clever agents and multi-agent systems, digital economic climate, and advances in networked virtual enterprises. Published papers have been offered on the ninth KES Conference on Agent and Multi-Agent structures – applied sciences and Applications (KES-AMSTA 2015) held in Sorrento, Italy.
Presented effects may be of worth to the examine neighborhood operating within the fields of man-made intelligence, collective computational intelligence, robotics, dialogue structures and, in particular, agent and multi-agent platforms, applied sciences, instruments and applications.
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2 Results We have launched the distributed simulations on the Cardiﬀ University cluster. 32-220) on a processor Intel Xeon CPU E5-2620 (12 cores at 2Ghz) with 32GB of memory. We ran the simulation on three conﬁgurations: the ﬁrst is a sequential version of the program on a single host (conf1), the second is a distributed version on the eight hosts (conf2), and the last is run on the eight hosts using the 12 cores of each one (conf3). The simulation is performed for 100 time steps on a 200 nodes power-law graph generated with the Barabasi-Albert model .
Fr O. uk © Springer International Publishing Switzerland 2015 G. Jezic et al. 1007/978-3-319-19728-9_2 15 16 M. Mastio et al. without control, the massive spread of information via billboards, radio announcements and individual guidance may have perverse eﬀects and create new traﬃc jams. Indeed, with this generalization of real-time traveler information, the behavior of modern transport networks becomes harder to analyze and to predict. It is then important to model and simulate a realistic number of travelers to correctly observe these eﬀects.