Self-Enforcing Network Research Articles

A Requirements Model for AI Algorithms in Functional Safety-Critical Systems with an Explainable Self-Enforcing Network from a Developer Perspective

The requirements for ensuring functional safety have always been very high. The existing and expected standards and regulations for the use of AI methods in functional safety-related systems pose major challenges for embedded software development using AI methods. To assess compliance, a Self-Enforcing Network model is presented in which software developers can indicate the degree of fulfillment of the requirements. The result indicates the safety integrity level, which is supported by an explanatory feature.

Predicting Document Accesses with a Self-enforcing Network

Predicting Document Accesses with a Self-enforcing Network

Predicting Document Accesses with A Self-Enforcing Network

Predicting Document Accesses with A Self-Enforcing Network

A Self-Enforcing Network as a Tool for Clustering and Analyzing Complex Data

The Self-Enforcing Network (SEN), which is a self-organized learning neural network, is introduced as a tool for clustering to define reference types in complex data. In order to achieve this, a cue validity factor is defined, which first steers the clustering of the data. Finding reference types allows the analysis and classification of new data. The results show that a user can influence the clustering of data by sEN, thus allowing the analysis of the data depending on specific interests. The described tool includes concrete examples with real clinical data and shows the potential of such a network for the analysis of complex data.

OSWI: a consulting system for pupils and prospective students on the basis of neural networks

The consulting system OSWI--Orientating System for Economy and Computer Science--has been developed by commission of the Faculty of Economy and Computer Science of the University of Duisburg-Essen. The system is based on the characteristics and expected abilities for the different courses of study of the faculty, which were formulated by the professors as representatives of their respective fields. The algorithmic base of the system is a new self-organized learning neural network that has been developed by us, namely the self-enforcing network. OSWI has been used, at present, by more than 5,000 students and pupils and was always evaluated by the users as a very useful and user-friendly system for selecting among the faculty's courses. The methodical approach for obtaining the database of the system and the algorithm with which OSWI operates is both highly innovative and very well suited for other areas.

Solving problems of project management with a self enforcing network (SEN)

The usage of AI techniques when dealing with problems of management always implies the task to understand the respective problem in terms of these techniques, in this case in terms of a specific neural network. That is, by the way, at its core a hermeneutical problem, namely of "understanding" the problem situation in the sense of hermeneutics. I shall demonstrate how a specific self-organized learning network that we have newly developed can be applied to problems of project management. This new network SEN will be described and its possibilities are shown by the application to different problems of project management, e.g. the selection of suited collaborators for a specific project, the classification of problematic customers or also the selection of suited procedures for project management in a specific firm. The SEN seems to be a universal instrument for different purposes as many reactions from managers in several large firms have shown. In particular SEN seems to be more suited for practical problems than some standard software we compared with SEN.

Norms, standards, rights

European unification causes additional social interactions between citizens. These interactions are influenced not only by law but also by social norms in the various countries. This paper discusses how different social norms and different law systems work together, what the advantages of a uniform European law are and what kind of equilibria are to be expected. It is suggested that many social and legal norms can be best understood as standards with network externalities, creating separating equilibria, or one dominating equilibrium which may or may not be a welfare optimum but will nevertheless prevail over competing alternatives, driven by self-enforcing network advantages. Coordination against excess inertia or excess momentum and compensating people's losses in the standardization process may be an welfare improving activity of the state.

Norms, Standards, Rights

Preparing European unification European legislators are changing fundamentally important parts of the legal systems of the member states. Furthermore, the internal market will cause many additional social interactions among European citizens. These interactions are influenced not only by law but also by social norms in the different countries. This paper discusses the question how different social norms and different legal systems work together, if there is a need for state intervention not acknowledged before, what the advantages of a uniform European law are and what kind of equilibria are to be expected. The answer will be that many social and legal norms can be best understood as standards with network externalities, creating sometimes separating equilibria, or one dominating equilibrium which may or may not be welfare optimal but will nevertheless prevail over competing alternatives driven by self-enforcing network advantages. Like an avalanche, some social norm or a legal regulation can be self-enforcing, snowballing, and irrevocable even if its initial choice or existence was completely arbitrary or has proved to be a mistake in the long run. Furthermore, the chaos-like self-enforcing development of some social or legal norms restrict the practical realm of the Coase-theorem. Coordination against excess inertia or excess momentum and compensating people's losses in the standardization process and influencing the different developments at the very early stages may be an additional important welfare improving activity of the state.