Add to ORKGAutomated scheduling systems and decision support tools require at least four kinds of knowledge: 1) domain knowledge, 2) problem instance knowledge, 3) control knowledge, and 4) solving knowledge. This short paper draws attention to learning from human experts for these different kinds of knowledge, and advocates a complementarity of knowledge acquisition by automated techniques and by human knowledge engineers.Algorithmic
Industry 4.0 raises the need for a closer integration of management systems in manufacturing compani...
[[abstract]]The automatic production equipment have very important position in the course of product...
Solving scheduling problems has long presented a challenge for computer scientists and operations ...
Automated scheduling systems and decision support tools require at least four kinds of knowledge: 1)...
[[abstract]]Although the theoretical framework of expert systems has been well established, the proc...
Abstract. We discuss some ideas aiming to improve constructing of complex decisions in solving of pl...
Scheduling is the process of devising or designing a procedure for a particular objective, specifyin...
Scheduling is the process of devising or designing a procedure for a particular objective, specifyin...
Scheduling problems are becoming more and more complex everyday. This makes the current rules and al...
crucial for achieving the timely and cost-effective execution of industrial production processes. In...
This paper addresses the question of allocating computational resources among a set of algorithms in...
This paper presents a learning-based approach to the automation of knowledge acquisition for expert ...
Creating computer systems to perform a task that requires expert knowledge is complex. To a certain ...
Creating computer systems to perform a task that requires expert knowledge is complex. To a certain ...
Graduation date: 1989Expert systems have been suggested as a solution\ud for difficult problems, inc...
Industry 4.0 raises the need for a closer integration of management systems in manufacturing compani...
[[abstract]]The automatic production equipment have very important position in the course of product...
Solving scheduling problems has long presented a challenge for computer scientists and operations ...
Automated scheduling systems and decision support tools require at least four kinds of knowledge: 1)...
[[abstract]]Although the theoretical framework of expert systems has been well established, the proc...
Abstract. We discuss some ideas aiming to improve constructing of complex decisions in solving of pl...
Scheduling is the process of devising or designing a procedure for a particular objective, specifyin...
Scheduling is the process of devising or designing a procedure for a particular objective, specifyin...
Scheduling problems are becoming more and more complex everyday. This makes the current rules and al...
crucial for achieving the timely and cost-effective execution of industrial production processes. In...
This paper addresses the question of allocating computational resources among a set of algorithms in...
This paper presents a learning-based approach to the automation of knowledge acquisition for expert ...
Creating computer systems to perform a task that requires expert knowledge is complex. To a certain ...
Creating computer systems to perform a task that requires expert knowledge is complex. To a certain ...
Graduation date: 1989Expert systems have been suggested as a solution\ud for difficult problems, inc...
Industry 4.0 raises the need for a closer integration of management systems in manufacturing compani...
[[abstract]]The automatic production equipment have very important position in the course of product...
Solving scheduling problems has long presented a challenge for computer scientists and operations ...