Designing a planning domain is a difficult task in AI planning. Assisting tools are thus
required if we want planning to be used more broadly. In this paper, we are interested in …

Automated modeling assistance is indispensable to the AI planning being deployed in
practice, notably in industry and other non-academic contexts. Yet, little progress has been …

To improve the autonomy of Cyber-Physical Production Systems (CPPS), a growing number
of approaches in Artificial Intelligence (AI) is developed. However, implementations of such …

The complexity of modeling planning domains is a major obstacle for making automated
planning techniques more accessible, raising the demand of tools for providing modeling …

A unique selling point for cyber-physical production system manufacturers becomes the
easy with which machines and cells can be adapted to new products and production …

Abstract Hierarchical Task Network (HTN) planning is a paradigm that offers engineers a
formalism for modeling planning domains in terms of possible decompositions of compound …

Realizing autonomic management control loops is pivotal for achieving self-driving
networks. Some studies have recently evidence the feasibility of using Automated Planning …

Abstract Cyber-Physical Production Systems (CPPS) are highly complex systems, making
the application of AI planning approaches for production planning challenging. Most AI …

Self-conscious intelligent planning is the process of Ego's cognition of his own state and
environment and then planning his own ability to achieve new desires. Ego's planning is the …

Player modeling attempts to create a computational model which accurately approximates a
player's behavior in a game. Most player modeling techniques rely on domain knowledge …