The paper presents possibilities of improving design and manufacturing preparation processes of configurable (variant) products in scope of realization of mass customization strategy. Knowledge based engineering tools are presented as a base for building systems for automation of design and manufacturing preparation. Methodologies of building KBE systems are presented and described, authors’ ow...

In this paper we present a feasibility study we conducted in a German county in order to assess the potential of a legal knowledge system in the domain of family law. The goals of this project were to describe the actual work processes, to propose optimized processes if needed and to develop a prototype. Our study was based on interviews, on two test cases submitted to clerks and on an online q...

Knowledge-based recommenders support an easier comprehension of complex item assortments (e.g., financial services and electronic equipment). In this paper we show (1) how such recommenders can be developed in a Human Computation based knowledge acquisition environment (PEOPLEVIEWS) and (2) how the resulting recommendation knowledge can be exploited in a competition-based e-Learning environment...

This paper addresses the problem of learning a Dynamic Bayesian Network from timed data without prior knowledge to the system. One of the main problems of learning a Dynamic Bayesian Network is building and orienting the edges of the network avoiding loops. The problem is more difficult when data are timed. This paper proposes a new algorithm to learn the structure of a Dynamic Bayesian Network...

We show that knowledge-based techniques are as effective as mathematical techniques when satisfying constraints for solving manpower allocation problems. These techniques can be used to fulfill the corresponding local and global constraints based on the dynamic programming algorithm. It uses tools borrowed from genetic and simulated annealing algorithms, and fuzzy logic methodologies. The sched...

Ripple Down Rules (RDR) have a longstanding (and successful) history in the field of biomedical engineering. RDR are a knowledge acquisition and representation technique that allow knowledge to be rapidly acquired and maintained by the domain expert. A key feature of RDR, and the reason why maintenance is easily managed, is that rules are never modified or deleted but they are locally patched. ...

Using a knowledge-based approach we adjust a knowledgebased algorithm for multi-agent communication for the process of cooperative problem solving (CPS). The knowledge-based algorithm for multiagent communication [1] solves the sequence transmission problem from one agent to a group of agents, but does not fully comply with the dialogue communication involved during a CPS process. A property of...

Probability concepts for rule-baaed expert systems are developed that are compatible with probability used in data fusion of imprecise information Procedures for treating probabilistic evidence are presented, which include the effects of statistical dependence. Confidence limits are defined as being proportional to root-mean-square errors in estimates, and a method is outlined that allows the c...

Organizational knowledge creation theory explains the process of making available and amplifying knowledge created by individuals as well as crystallizing and connecting it to an organization’s knowledge system. What individuals get to know in their (working) lives benefits their colleagues and, eventually, the wider organization. In this article, we briefly review central elements in organizat...