Agent and Multi-Agent Systems: Technologies and by Gordan Jezic, Robert J. Howlett, Lakhmi C. Jain PDF

By Gordan Jezic, Robert J. Howlett, Lakhmi C. Jain

ISBN-10: 3319197274

ISBN-13: 9783319197272

ISBN-10: 3319197282

ISBN-13: 9783319197289

Agents and multi-agent structures are relating to a contemporary software program paradigm which has lengthy been well-known as a promising know-how for developing self reliant, complicated and clever structures. the themes coated during this quantity contain agent-oriented software program engineering, agent co-operation, co-ordination, negotiation, association and conversation, dispensed challenge fixing, specification of agent verbal exchange languages, agent privateness, security and safety, formalization of ontologies and conversational agents.

The quantity highlights new developments and demanding situations in agent and multi-agent examine and comprises 38 papers labeled within the following particular themes: studying paradigms, agent-based modeling and simulation, company version innovation and disruptive applied sciences, anthropic-oriented computing, severe video games and company intelligence, layout and implementation of clever brokers and multi-agent platforms, electronic economic system, and advances in networked digital businesses. released papers were offered on the ninth KES convention on Agent and Multi-Agent structures – applied sciences and purposes (KES-AMSTA 2015) held in Sorrento, Italy.
Presented effects can be of price to the examine neighborhood operating within the fields of man-made intelligence, collective computational intelligence, robotics, discussion platforms and, particularly, agent and multi-agent platforms, applied sciences, instruments and applications.

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Extra info for Agent and Multi-Agent Systems: Technologies and Applications: 9th KES International Conference, KES-AMSTA 2015 Sorrento, Italy, June 2015, Proceedings

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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.

The first concerns the simulation model. We will tackle more specific travel simulation models, where all types of communications are present (local, global and community-based communications). We expect the environment-based distribution method to show better performance than with the current model. The second aspect concerns the environment-based distribution method. The distribution is currently done statically at the beginning of the simulation and we believe that the speedup could be largely improved by adding dynamic load balancing mechanisms.

Besides, Fig. 6 gives the total time that each test spent to interact with increasing number of mobile agents. The obtained results show the ability of our solution to scale in front of large conditions, namely the expanded number of mobile agents requesting to access platform services, the set up of growing databases and especially the advantage to continue performing in non-connected areas. Moreover, the overhead of security added is about 40 % of the the overall cost, which is credible and highly beneficial for the platform to counter external vulnerabilities (Fig.

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Agent and Multi-Agent Systems: Technologies and Applications: 9th KES International Conference, KES-AMSTA 2015 Sorrento, Italy, June 2015, Proceedings by Gordan Jezic, Robert J. Howlett, Lakhmi C. Jain


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