Automated planning is one of the most important problems in artificial intelligence. We present a new refinement of the classical planning algorithm that formulates the planning problem as a satisfiability problem. Compared with previous techniques, the solution of the planning problem is identified using the number of truth assignments of the corresponding propositional formula and their actio...

This paper discusses the need for an AI temporal planner to represent ill defined and imprecise temporal knowledge for real world problems. The ability to deal with imprecise knowledge provides a flexible framework for temporal planning, in contrast with the rigidity of classical temporal planners, and it concerns all of the stages of the planning process, that is, from domain and plan represen...

Artificial intelligence planning methods haven’t been used until rec ently to address the problem of computer-aided process planning (CAPP) in manufacturing in its entirety. They were simply not developed enough to tackle real-world problems of that complexity. In the paper we show that with so-called Hierarchical Task Networks, a recently matured general-purpose domainindependent planning meth...

Planning is a core field of Artificial Intelligence since its beginnings and, there are many planning techniques that have been introduced in the literature. The timeline-based approach is a particular temporal planning paradigm which has been successfully applied in many real world scenarios. However despite its practical success, there is not a shared view of this approach. In this context, m...

Behavior may be controlled by reactive systems. In a reactive system the motor output is exclusively driven by actual sensory input. An alternative solution to control behavior is given by “cognitive” systems capable of planning ahead. To this end the system has to be equipped with some kind of internal world model. A sensible basis of an internal world model might be a model of the system’s ow...

Building Artificial Intelligence (AI) that can successfully interact with the physical world in a comprehensive and human-like way is a big challenge. Physics simulation games, i.e., video games where the game world simulates real-world physics, offer a simplified and controlled environment for developing J. Renz (*) • X. Ge Artificial Intelligence Group, Research School of Computer Science, Th...

What this paper tends to address are followings. (1) A notable common characteristic of many GIS applications we ever might ignore is that the ability of analysis is not primarily provided by GIS itself, GIS generally plays roles of data management and virtual environment construction, and it is the users of GIS software that achieve that intelligencerequired process of problem solving. That is...

The concept of AI is a relatively new that being used with increasing frequency. importance this has to do in general the increased capacity what we understand as intelligence. However, it delicate and easy misuse / or misinterpret. This requires good understanding is, based on should be its forms practical operation.
 I would like make point regarding difference between IA IAE. thought pr...