By Gordan Jezic, Robert J. Howlett, Lakhmi C. Jain
Agents and multi-agent structures are on the topic of a latest software program paradigm which has lengthy been famous as a promising expertise for developing self sufficient, advanced and clever structures. the subjects coated during this quantity contain agent-oriented software program engineering, agent co-operation, co-ordination, negotiation, association and communique, allotted challenge fixing, specification of agent communique languages, agent privateness, security and safety, formalization of ontologies and conversational agents.
The quantity highlights new tendencies and demanding situations in agent and multi-agent learn and contains 38 papers labeled within the following particular subject matters: studying paradigms, agent-based modeling and simulation, company version innovation and disruptive applied sciences, anthropic-oriented computing, critical video games and enterprise intelligence, layout and implementation of clever brokers and multi-agent structures, electronic economic system, and advances in networked digital corporations. released papers were awarded on the ninth KES convention on Agent and Multi-Agent platforms – applied sciences and functions (KES-AMSTA 2015) held in Sorrento, Italy.
Presented effects will be of price to the learn group 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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Additional info for Agent and Multi-Agent Systems: Technologies and Applications: 9th KES International Conference, KES-AMSTA 2015 Sorrento, Italy, June 2015, Proceedings
9(6), 570–572 (2005) 14. : Swot analysis of access control models. Int. J. Secur. Appl. 8(3), 407–424 (2014) 15. : Shamirs threshold scheme. In: Encyclopedia of Cryptography and Security, pp. 1193–1194. Springer, US (2011) 16. Announcing the Advanced Encryption Standard (AES). Federal Information Processing Standards Publication 197, NIST (2001) 17. : A secure mobile agents platform. J. Commun. 3(2), 1–12 (2008) Data Filtering in Context-Aware Multi-agent System for Machine-to-Machine Communication Pavle Skocir, Hrvoje Maracic, Mario Kusek and Gordan Jezic Abstract Energy eﬃciency is an important aspect of Machine-to-Machine (M2M) systems since large number of devices is not connected to unlimited power supply.
In: SIMUL 2011, The Third International Conference on Advances in System Simulation, pp. 55–60 (2011) 8. : Repast HPC: a platform for large-scale agent-based modeling. , Schott, B. ) Large-Scale Computing, pp. 81–109. Wiley (2011) 9. : PANDORA: a multi-agent system using paraconsistent logic. In: Proceedings of Fourth International Conference on Computational Intelligence and Multimedia Applications, 2001 (ICCIMA 2001), pp. 352–356 (2001) Towards a Distributed Multiagent Travel Simulation 25 10.
2 Authentication process between the native and remote platforms using TTP and key exchange mechanism 32 H. Idrissi et al. 2 Access Control of the Platform Resources In Order to deﬁne an access control policy for our agent platform, we need to model our architecture as compounded of objects and subjects, such that the objects are the ﬁles stored and the subjects are the agents. There exist several access control models and policies to address diﬀerent types of requirements : Discretionary Access Control (DAC), Mandatory Access Control (MAC), Role-Based Access Control (RBAC) and many others.