High-tech entrepreneurial ecosystems: using a complex adaptive systems framework

A Model for Analyzing Entrepreneurial Innovation in High-tech Sectors

The research in this paper uses an inductive methodology to suggest a framework that is more adapted to studying innovation by small firms in high-tech sectors. Existing theories are shown to rely fundamentally on the notions of dominant design and dominant logic. Their bias towards technological innovation together with their context reliance makes them less useful in the context of high-tech ...

OMACS a Framework for Adaptive, Complex Systems

This chapter introduces a suite of technologies for building complex, adaptive systems. It is based in the multi-agent systems paradigm and uses the Organization Model for Adaptive Computational Systems (OMACS). OMACS defines the knowledge needed about a system’s structure and capabilities to allow it to reorganize at runtime in the face of a changing environment and its agent’s capabilities. H...

A Framework for Complex Adaptive Systems

In this paper, we provide a general purpose simulation framework for complex adaptive systems. Our framework will deal with a number of important criteria including self-organization, emergence, and others. We then show that the framework can capture the common underlying structure of complex adaptive systems through demonstrating its application in specific biological domains.

Ecosystems as Complex Systems

Dependability for high-tech systems

The dependability of high-volume embedded systems, such as consumer electronic devices, is threatened by a combination of quickly increasing complexity, decreasing time-to-market, and strong cost constraints. This poses challenging research questions that are investigated in the Trader project, following the industry-as-lab approach. We present the main vision of this project, which is based on...