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Humans observe the world through a combination of different modalities, like vision, hearing, and our understanding of language. Machines, on the other hand, interpret the world through data that algo...
We formalize the problem of program verification as a learning problem, showing that invariants in program verification can be regarded as geometric concepts in machine learning. Safety properties de-...
The sets of contexts and properties of a concept are embedded in the complex Hilbert space of quantum mechanics. States are unit vectors or density operators, and contexts and properties are orthogona...
We propose a theory for modeling concepts that uses the state-context-property theory (SCOP), a generalization of the quantum formalism, whose basic notions are states, contexts and properties. This t...
Object Oriented design and databases has attracted a great deal of attention in recent years. This article outlines and discusses the semantic data principles used inter alia in understanding Object O...
This paper considers theories of cognition and consciousness in four traditions: neuroscience, cognitive science, activity theory and the distributed cognition approach. It is most concerned with soci...
This article reviews fundamental concepts of modeling and simulation in computational sciences, such as a model, analytical- and numerical-based modeling, simulation, validation, verification, etc., i...
Computerized problem-based learning (PBL) cases were developed that replicate the critical thinking process undertaken by students during traditional facilitator-led PBL sessions. Eight computerized P...

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