There is a close relationship between computational creativity in the arts and generative art. Prior work is summarized here as to how complexity theory can serve as a theoretical context for generative art. This is extended to show how complexity theory can also illuminate discussions regarding computational creativity. Another prior proposal is also summarized. It suggests that a world-view c...

This paper aims to investigate the typology of resultative constructions (henceforth RC) in Korean, to provide their relevant constraints and finally to propose formal structures of RCs in a unified way. RCs refer to a formation that combines a simple sentence with a result phrase or an expression denoting the result of an action. For example, red in Lee painted the wall red, a result phrase ca...

Generative modeling of high dimensional data like images is a notoriously difficult and ill-defined problem. In particular, how to evaluate a learned generative model is unclear. In this paper, we argue that adversarial learning, pioneered with generative adversarial networks (GANs), provides an interesting framework to implicitly define more meaningful task losses for unsupervised tasks, such ...

Transformational learning, according to Mezirow (1981), involves transforming taken-for-granted frames of reference into more discriminating, flexible ‘habits of mind’. In teacher education, transformative learning impacts on the development of students’ action theories, self-efficacy and professional attributes. Although considered imperative to reflective practice, not all students take a tra...

Conversation is often considered as the most problematic area in the field of formal linguistics, primarily because of its dynamic emerging nature. The degree of complexity is also high in comparison to traditional sentential analysis. The challenge for developing a formal account for conversational analysis is bipartite: Since the smallest structural unit at the level of conversational analysi...

The goal of this study is to reintegrate the theory of generative grammar into the cognitive sciences. Generative grammar was right to focus on the child's acquisition of language as its central problem, leading to the hypothesis of an innate Universal Grammar. However, generative grammar was mistaken in assuming that the syntactic component is the sole course of combinatoriality, and that ever...

One important field of application for embedded real-time systems is in the telecommunications industry. In the first phase of the E-CARES reengineering project, we regarded the architecture modeling and the reverse engineering of telecommunication systems. Current work concerns the restructuring of such systems including their re-design and re-implementation. The aim is to provide concepts, la...

The Harmonia framework provides an infrastructure for building language-aware interactive programming tools. Harmonia supports many languages through language plug-ins, which are dynamically-loadable system extensions generated from lexical, syntactic, and semantic descriptions. In this report, we describe our approach to generating Harmonia language plug-ins from a variety of domain-specific d...

The current generative theory of the lexicon relies primarily on tools from formal language theory and mathematical logic. Here we describe how a different formal apparatus, taken from algebra and automata theory, resolves many of the known problems with the generative lexicon. We develop a finite state theory of word meaning based on machines in the sense of Eilenberg [11], a formalism capable...