Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Intelligent Software Agents: Foundations and Applications
Intelligent Software Agents: Foundations and Applications
Decision Based Adaptive Model for Managing Software Development Projects
EUROCAST '99 Proceedings on Computer Aided Systems Theory
A General Planning Method for Allocation of Human Resource Groups
Computer Aided Systems Theory - EUROCAST 2001-Revised Papers
Event based modelling and control of software development processes
ECBS'97 Proceedings of the 1997 international conference on Engineering of computer-based systems
Automated re-establishment of the synchronization of real and simulated project workflow
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
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Calculating optimized project plans, consisting of an arbitrary number of activities of different types and within a dynamic available pool of human resources characterized by specific profiles can be a most challenging task. We focus mainly on the project control process based on such project plans, which also provide the possibility to integrate different types of external disturbances that normally influence a project workflow. Observed deviations of precalculated time intervals of activities immediately lead to the activation of the so-called self learning components, which automatically tune the personal parameters of each involved workgroup member. At least there are two processes to observe and to synchronize permanently: Real project workflow (the so-called Real System) and its realtime emulation (the so-called Simulation System). Due to all these dynamic requirements and to gain scalability of the system, the implementation selected is based on the usage of different intelligent software agents.