Our research explores the application of Inductive Logic Programming to a new domain involving decapod crustacean claws. We find that we can distinguish dactyl shapes by automatically extracting relational features that describe their underlying spatial structure. We first use medial axis techniques to find the shock graph of each dactyl outline, which is then converted into a first-order logic...

Reality is not user-friendly. To cope with, model, and comprehend a complex reality requires complex systems. Complex systems offer power, but they are not without problems. In our research, high functionality computer systems serve as prototypical examples for complex systems and are used to instantiate our framework of cooperative problem solving in joint human-computer systems. Models play a...

Studies on language proficiency of foreign teachers have evoked considerable interest in recent decades. However, only mainstream core skills been propounded line with the framework conventional approaches that ignored critical perspectives. Although theory emanating from ideas Marx has produced pedagogy aims to enable individuals approach any subject or issue a socio-political perspective, its...

Public reporting of health care outcomes is largely ignored by consumers, perhaps because it doesn't include concise, comprehensible information on factors such as out-of-pocket costs, the effectiveness of a procedure or treatment, and applicability to their situation.

One of the major challenges in medical domain is the extraction of comprehensible knowledge from medical diagnosis data. In this paper, a two-phase hybrid evolutionary classification technique is proposed to extract classification rules that can be used in clinical practice for better understanding and prevention of unwanted medical events. In the first phase, a hybrid evolutionary algorithm (E...

The extraction of comprehensible knowledge is one of the major challenges in many domains. In this concept, an ant programming (AP) framework, which is capable of mining classification rules easily comprehensible by humans, and, therefore, capable of supporting expert-domain decisions, is presented. The algorithm proposed, called grammar based ant programming (GBAP), is the first AP algorithm d...