纪念 发表于 2025-3-23 13:34:26
Towards Parallel Real-Time Trajectory Planning, algorithm. In particular we investigate the approach that schedules the workload on the cores using the hashing function based on the geographical partitioning of the search space. We use this approach to parallelize the AA* algorithm. In our solution, each partition of the geographical space is re要塞 发表于 2025-3-23 14:19:03
http://reply.papertrans.cn/16/1504/150320/150320_12.png铁塔等 发表于 2025-3-23 19:53:09
http://reply.papertrans.cn/16/1504/150320/150320_13.pngmyocardium 发表于 2025-3-23 23:08:05
http://reply.papertrans.cn/16/1504/150320/150320_14.pngSEVER 发表于 2025-3-24 03:07:01
An Applied Agent-Based Model for Path-Planning on a Mobile Device,encompasses a number of areas (e.g. localization, path-planning, map generation, etc). This project presents a multi-agent path-planning simulation and the communication protocols designed for the agents. It describes the initial agents’ functions in the proof-of-concept of our application. The modeObsessed 发表于 2025-3-24 07:38:26
http://reply.papertrans.cn/16/1504/150320/150320_16.pngLegend 发表于 2025-3-24 14:02:53
Non-invasive Estimation of Stress in Conflict Resolution Environments,telecommunication means. However, this tendency leaves aside key issues, namely our concern with respect to context information that was previously available in traditional Alternative Dispute Resolution processes. The main weakness of this approach is that conflict resolution may become a cold procEmg827 发表于 2025-3-24 17:38:47
A JaCaMo-Based Governance of Machine-to-Machine Systems,services. M2M infrastructures aiming at being deployed city wide have to deal with the increasing number of services and applications they have to support. A dynamic sharing of M2M infrastructure between applications is thus a strong requirement. In this paper, we propose to use multi-agent abstract合并 发表于 2025-3-24 22:59:01
Evaluation of a Multi-Agent System for the Evolving of Domain Ontologies from Texts,tions. Manual ontology building and evolving are difficult and complex tasks. This paper presents DYNAMO, a software based on a Multi-Agent System (MAS) that automates these tasks. Terms and concepts of a given domain are agentified. These agents cooperate to determine their place in the MAS (that i心神不宁 发表于 2025-3-24 23:33:26
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