This chapter is concerned with the enhancement of planning systems using techniques from Machine Learning in order to automatically configure their planning parameters according to the morphology of the problem in hand. It presents two different adaptive systems that set the planning parameters of a highly adjustable planner based on measurable characteristics of the problem instance. The plann...

Path planning quickly becomes computationally hard as the dimensionality of the state-space increases. In this paper, we present a planning algorithm intended to speed up path planning for high-dimensional state-spaces such as robotic arms. The idea behind this work is that while planning in a highdimensional state-space is often necessary to ensure the feasibility of the resulting path, large ...

This paper presents a novel idea, which combines Planning, Machine Learning and Knowledge-Based techniques. It is concerned with the development of an adaptive planning system that can fine-tune its planning parameters based on the values of specific measurable characteristics of the given planning problem. Adaptation is guided by a rule-based system, whose knowledge has been acquired through m...

The redesign of information technology (IT)-enabled work processes often necessitates fundamental design changes to the intended work process, the IT platform hosting the work process, or both. Research suggests that such design changes often can be traced to earlier decisions involving endogenous adaptation or internal organizational change. Two such decisions are a firm’s technology position ...

Adaptive learning support is a key element of high quality preschool education and includes the planning situations teacher–child interactions. The provision effective adaptive in kindergarten challenging. This longitudinal experimental study examined impact two professional development programs on 132 teachers. One program focused interactions (micro-adaptive support), other planning, preparat...

Self-adaptive systems autonomously adjust their behavior in order to achieve their goals despite changes in the environment and the system itself. Self-adaption is typically implemented in software and often expressed in terms of architectural reconfiguration. The graph transformation formalism is a natural way to model the architectural reconfiguration in self-adaptive systems. In this paper, ...

A formal sentence processing system is proposed which simulates different eventrelated potential (ERP) elicitation between sentences with and without unambiguous case marking. The electroencephalographical data are based on German subordinate clauses and Japanese sentences. As a formal framework we adopt Dynamic Syntax (Kempson et al. 2001), which enables incremental update of information by un...

Self-adaptive systems have the ability to autonomously reconfigure their structure in order to meet specific goals. Such systems often include a planning component, computing plans of reconfiguration steps. However, despite the fact that reconfigurations take time in reality, most planning approaches for self-adaptive systems are non-temporal. In this paper, we present a model-based approach to...