Models of Non-Life Insurance Mathematics

In this communication we will discuss two regression credibility models from Non – Life Insurance Mathematics that can be solved by means of matrix theory. In the first regression credibility model, starting from a well-known representation formula of the inverse for a special class of matrices a risk premium will be calculated for a contract with risk parameter q. In the next regression credibility model, we will obtain a credibility solution in the form of a linear combination of the individual estimate (based on the data of a particular state) and the collective estimate (based on aggregate USA data). Mathematics Subject Classification: 62P05.regression credibility theory, the risk parameter of the policy, the risk premium, the credibility calculations

Multi-Level Model

Is an original paper, which contains a hierarchical model with three levels, for determining the linearized non-homogeneous and homogeneous credibility premiums at company level, at sector level and at contract level, founded on the relevant covariance relations between the risk premium, the observations and the weighted averages. We give a rather explicit description of the input data for the multi- level hierarchical model used, only to show that in practical situations, there will always be enough data to apply credibility theory to a real insurance portfolio.hierarchical structure with three levels, observable variables with associated weights, the credibility results

Evaluation of the Project Management Competences Based on the Semantic Networks

The paper presents the testing and evaluation facilities of the SinPers system. The SinPers is a web based learning environment in project management, capable of building and conducting a complete and personalized training cycle, from the definition of the learning objectives to the assessment of the learning results for each learner. The testing and evaluation facilities of SinPers system are based on the ontological approach. The educational ontology is mapped on a semantic network. Further, the semantic network is projected into a concept space graph. The semantic computability of the concept space graph is used to design the tests. The paper focuses on the applicability of the system in the certification, for the knowledge assessment, related to each element of competence. The semantic computability is used for differentiating between different certification levels.testing, assessment, ontology, semantic networks, certification.

KNOWLEDGE MANAGEMENT IN HIGHER EDUCATION – AN ONTOLOGICAL APPROACH IN COLLABORATIVE ENVIRONMENTS

The paper presents an ontology-based knowledge management system developed for a Romanian university. The university used a classic Management Information System (MIS), which was the starting point for developing the knowledge management system. The developed knowledge management system has a general ontology, containing terms which are valid for a public institution, and specific ontology for two process categories, didactic and research process. The ontology is implemented using Protege. The results are very encouraging and suggest several future developments.business intelligence, knowledge management, ontology, university

QUALITY OF THE ACADEMIC PROGRAMMES

The main issue addressed by this paper refers to the quality of training and education on project management – is it different than the perception of quality of training and education in other fields, if so, where, in what aspects, who should be responsible for it, should it only be addressed as input based – provider, trainer, curriculum, or also output based – trainee, etc. A survey was made and the main results are presented.Quality, Project management training and education

Competence Development in IT Projects through Education and Training Programmes

The paper refers to the quality of training and education on IT project management. A survey was made and the main results are presented. 81 % of the responses came from China. The rest were professionals of different EU nationalities. The percentage of Project Managers who answered the questions is rather low – 8%. In the “Others” category, we have software developers, financial managers and professors, who are involved in both training on project management, but also as team members or team managers in IT and research projects, thus ensuring a balanced overview of both theory and practical issues.quality; IT Project management; training and education; project manager; competence.

Project resources leveling using software agents

Different approaches to project planning and scheduling have been developed. The Operational Research (OR) approach provides two major planning techniques: CPM and PERT. Artificial Intelligence (AI) initially promoted the automatic planner concept. In order to plan a project, the automatic application of predefined operators is required. However, most domains are not so easily formalized in the form of predefined planning operators. The paper focus is on the agent-based approach to project planning and scheduling, especially in Resource Leveling issues. The authors have developed and implemented the ResourceLeveler system, an agent-based model for leveling project resources. The objective of Resource Leveler is to find a scheduling of resources similar to the optimal theoretical solution which takes into consideration all constraints stemming from the relationships between projects, activity calendars, resource calendars, resource allotment to the activities and resource availability. ResourceLeveler was developed in C# as a plug-in for Microsoft Project.project management, agent-based models, artificial intelligence, project resource leveling

CONTRIBUTIONS TO MULTI-AGENT SYSTEMS IMPLEMENTATION FOR PROJECT SCHEDULING

Increasing project complexity makes scheduling problems more difficult to solve and requires more versatile algorithms. Two different approaches for the project scheduling optimization could be considered: TCPSP (Time-Constrained Project Scheduling), and RCPSP (Resource-Constrained Project Scheduling). In this paper we study thepossibility to apply Multi-Agent Systems (MAS) for these scheduling problems regarding different fitness functions. Wesearch for strengths and weaknesses of MAS as a prerequisite study for a further implementation of the TCSP on a specific MAS platform.multi-agent systems, scheduling, project management, planning

An Electronic Market Space Architecture Based On Intelligent Agents And Data Mining Technologies

This paper presents an overview of current trends in electronic Business (E-Business), and discusses how an enterprise can use the Electronic Market space based on intelligent agents and data mining techniques to its strategic advantage. We define an agency as a multi-agent system created by integrating agents, selected from a library of reusable agents that have formed a federation. A federation of agents comprises of a set of registered agents, witch are themselves complete knowledge-based system [1].multi-agent system, e-business, data mining, artificial neural networks

A Training Software Platform for the Research Projects Evaluation

The paper presents a training software platform which can be used by the evaluators for learning how to perform the research project evaluation and how to document the whole process, writing consistent comments. For the moment, the platform is ready for use on the proposals evaluation phase, but it can be easier extended in order to also cover the interim and the final evaluations of the research projects.services; goods; industrial society; knowledge-based society.