**9. References**

Akinyokun, O.C., Imianvan, A.A. (2006). Mobile agent system for computer network management Proceedings from the International Conference on Advances in Engineering and Technology, Pages 796-808

Current networks are very complex and demand ever-increasing levels of quality, making their management a very important aspect to take into account. The traditional model of network administration has certain deficiencies that we have tried to overcome by using a model of intelligent integrated management. To improve the techniques of expert management in a communications network, we propose the possibility of integrating and normalising the expert rules of management within the actual definition of the managed objects. Intelligent managed objects characteristics are autonomy, reactivity, pro-activeness,

In this chapter we showed possibilities to apply and integrated the artificial intelligence techniques in network management and supervision, using OSI. We showed possibilities to apply and integrated the artificial intelligence techniques in network management and

Unfortunately, the knowledge management is defined in using different intelligent techniques. This results in knowledge specifications which are often ambiguous, increasing the possibility of different implementations not being interoperable. To achieve consistent, clear, concise, and unambiguous specifications, a formal methodology has to be utilized. This paper introduces a framework for the inclusion of formal knowledge descriptions into GDMO specifications. An object-oriented logic programming language is presented, which can be used in conjunction with the framework to specify the management knowledge of

We have supplied an original contribution to include expert rules in the specifications of the network elements; for this purpose we have proposed a new standard called Extension of GDMO standard or simply GDMO+. Through the integration of the knowledge within the new extension of the GDMO standard, we can simultaneously define the management information and knowledge. Thus, the management platform is more easily integrated and allows a better adaptation for the network management. Moreover we have built a prototype and experiments have been carried out in order to test the efficiency of our proposal. This demonstrated that GDMO+ is capable of specifying the knowledge of a reasonably sized information model. A large amount of the management knowledge could

It is suggested that future work should aim to further development of this prototype system by adding more modules based on the framework provided by the system so that more indepth knowledge and specialized subjects may be captured; in particular the following are of great interest: Development of a design module, possibly a large system, for identifying specific areas like accounting management, configuration management, performance management and security management. Moreover use of external programs and graphics interface to enhance the functions of the system will be desirable. Finally study the possibility of using another method of knowledge representation and reasoning different to

Akinyokun, O.C., Imianvan, A.A. (2006). Mobile agent system for computer network

management Proceedings from the International Conference on Advances in

**8. Conclusion** 

mobility and learning.

managed objects.

**9. References** 

supervision, using ISO network management standard.

be described in a surprisingly short and easy to understand manner.

the rules: Semantic nets, neuronal nets, frameworks, etc.

Engineering and Technology, Pages 796-808


**3** 

 *Poland* 

**Management of Knowledge Acquisition from** 

*Lower Silesian Voivodeship Marshal Office, Health Policy Department, Wroclaw* 

The term 'Knowledge Management' (KM) appeared several years ago and at first it was applied only to information systems. It was obvious soon that its meaning was broader and connected with business processes reengineering and management of quality. Knowledge management concentrates on recognition of all intellectual assets within an organization as well as on managing them. The main purpose of KM was obvious: better achievement of business goals. In knowledge based economy the role and importance of information and knowledge is still growing. Knowledge is becoming one of the most valuable assets in any organizations. Fast progress at the field of scientific research – especially in medicine, new information and communication technologies, etc. enforce not only the necessity of innovation transfers but

Knowledge management can be seen as a result of evolutionary human development. In the last quarter of the 20th century this development was observed in continuously growing application of information and knowledge in societies and in organizations. Today information and knowledge are crucial and especially valuable due to the rapid developed and continuous progress in every sector of our life. Fast exchange of medical knowledge, new medicals, creation and propagation of new knowledge etc. are possible due to the

For our further investigation we have taken into account medicine as a domain/discipline. Why medicine? For some quite obvious facts: our health is of great importance not only to us (people) but also for our countries. And on the other hand, medical clinics have a high intellectual potential for product innovation, process and service development. There are many reasons why this potential of innovation is not sufficiently transferred to the results, such as product development by companies and better health care. The barriers concern, among others, different interests. Clinics are mainly focused on the efficient management and welfare of patients. Whereas the objective of the industrial units is all about economy and economic importance. Today big business companies and corporations dominate as suppliers of ready innovative products. So far, the changes initiated by the employees of clinics and small and medium-sized enterprises (SMEs) have no chance to transfer knowledge and ideas. But this is the flexibility of SMEs in developing lab types, prototypes

also the necessity of developing and creating knowledge.

achievements of 'informational revolution'.

**1. Introduction** 

**Human Sources in Innovation Transfer** 

Antoni Zwiefka and Malgorzata Nycz

*Finances and Business Informatics* 

*Wroclaw University of Economics, Faculty of Management* 

 *Department of Artificial Intelligence Systems, Wroclaw* 

