There are some market share estimations by analysts (Pang 2007) that give us a very raw figure on the developments of the ERP or Enterprise Systems market either globally or in certain countries. The assumptions and fundamental calculations of the market share investigations are seldom visible for the public. For countries with a broad range of enterprise system vendors like Germany where more ...

An approach to intelligent process automation based on distributed planning agents is presented in this paper. According to this approach a higher-level agent-based automation layer supervises an ordinary process automation system. The purpose of the agent layer is to monitor the operation of the lower-level automation system and semi-autonomously reconfigure its control logic when needed. The ...

This paper presents an approach to mobile robot path planning using case-based reasoning together with map-based path planning. The map-based path planner is used to seed the case-base with innovative solutions. The casebase stores the paths and the information about their traversability. While planning the route those paths are preferred that according to the former experience are least risky.

In multiagent domains with adversarial and cooperative team agents, team agents should be adaptive to the current environment and opponent. We introduce an online method to provide the agents with team plans that a “coach” agent generates in response to the specific opponents. The coach agent can observe the agents’ behaviors but it has only periodic communication with the rest of the team. The...

Previous academic research has identified the correlation between special events and crime rates within cities. However, in much of the previous work, the focus was either on spatial or temporal analysis related to the evolution of local crime patterns in conjunction with the special events. This research uses a hybrid agent-based simulation to examine the impact of temporal pulse events on the...

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 vast majority of research on AI planning has focused on automated plan recognition, in which a planning agent is provided with a set of inputs that include an initial goal (or set of goals). In this context, the goal is presumed to be static; it never changes, and the agent is not provided with the ability to reason about whether it should change this goal. For some tasks in complex environ...

The aim of the current study was to compare the influence of on-line planning and pre-task planning on the performance of EFL university students enjoying different levels of proficiency regarding accuracy, fluency and complexity. To this end a group of 134 EFL learners with different proficiency levels were asked to write narrative tasks under two planning conditions (Pre-task planning and on-...