28,938 research outputs found
Natural Language Dialogue Service for Appointment Scheduling Agents
Appointment scheduling is a problem faced daily by many individuals and
organizations. Cooperating agent systems have been developed to partially
automate this task. In order to extend the circle of participants as far as
possible we advocate the use of natural language transmitted by e-mail. We
describe COSMA, a fully implemented German language server for existing
appointment scheduling agent systems. COSMA can cope with multiple dialogues in
parallel, and accounts for differences in dialogue behaviour between human and
machine agents. NL coverage of the sublanguage is achieved through both
corpus-based grammar development and the use of message extraction techniques.Comment: 8 or 9 pages, LaTeX; uses aclap.sty, epsf.te
MASDScheGATS: a prototype system for dynamic scheduling
A manufacturing system has a natural dynamic nature observed through several kinds of random occurrences and
perturbations on working conditions and requirements over time. For this kind of environment it is important the
ability to efficient and effectively adapt, on a continuous basis, existing schedules according to the referred
disturbances, keeping performance levels. The application of Meta-Heuristics and Multi-Agent Systems to the
resolution of this class of real world scheduling problems seems really promising.
This paper presents a prototype for MASDScheGATS (Multi-Agent System for Distributed Manufacturing
Scheduling with Genetic Algorithms and Tabu Search)
A multi-agent system with application in project scheduling
The new economic and social dynamics increase project complexity and makes scheduling problems more difficult, therefore scheduling requires more versatile solutions as Multi Agent Systems (MAS). In this paper the authors analyze the implementation of a Multi-Agent System (MAS) considering two scheduling problems: TCPSP (Time-Constrained Project Scheduling), and RCPSP (Resource-Constrained Project Scheduling). The authors propose an improved BDI (Beliefs, Desires, and Intentions) model and present the first the MAS implementation results in JADE platform.multi-agent architecture, scheduling, project management, BDI architecture, JADE.
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