Gateway to the real world, industrial training: dilemmas and problems

Training dilemmas and false dilemmas

From Real World Problems to Domain Characterisations

Several problems associated with current approaches to knowledge acquisition have been identified by various workers. These include the lack of an explicit theoretical basis to many existing methodologies and the requirement to be able to integrate the analysis, elicitation and representation of knowledge into a coherent domain model. The purpose of this paper is to address some of these issues...

Applying Supervised Learning to Real-World Problems

The last years have seen machine learning methods applied to an increasing variety of application problems such as: language, handwriting and speech processing , document classification, knowledge discovery in databases, industrial process control and diagnosis, fraud and intrusion detection, image analysis and many others. Our work starts from the realization that most of these problems requir...

Applying Genetic Algorithms to Real - World Problems

This paper outlines what the author perceives as crucial ingredients of a successful application of Genetic Algorithms (gas) to real-world combinatorial problems. First, the importance of the Schema Theorem is stressed, pointing to crossover as the most potent force in a ga. Second, the importance of an encoding and operators adapted to the problem being solved is demonstrated, with two implica...

Reasons for cooperation and defection in real-world social dilemmas

Interventions to increase cooperation in social dilemmas depend on understanding decision makers’ motivations for cooperation or defection. We examined these in five real-world social dilemmas: situations where private interests are at odds with collective ones. An online survey (N = 929) asked respondents whether or not they cooperated in each social dilemma and then elicited both open-ended r...