Abstract
This research work presents a systematic investigational study of a challenging phenomenon observed in natural world. Mainly, the study is concerned with conceptual interdisciplinary analysis and evaluation of quantified learning creativity phenomenon. In association, it deals with diverse aspects of measurable behavioral learning performance and is observed by two diverse natural biological system models (i.e. human and non-human creatures). Specifically, the studies of two biological models consider the comparison of quantified learning creativity phenomenon. The first model involves the human interactive tutoring/learning processes with environment while the other modal presents the ecological behavioral learning of swarm intelligence agents (i.e. ants) in performing the foraging process. Furthermore, a comparative study is presented which is inspired by naturally realistic models of Artificial Neural Network (ANN) and Swarm Intelligence. The obtained simulation and modeling results shows that the learning performance curves of both models behave with close similarity to each other. Precisely, the analysis and evaluation of learning performance curves of two diverse biological models revealed that both obey exponentially decayed learning curves; following least mean square (LMS) error algorithm.
Highlights
This piece of research is inspired by a strong belief that interdisciplinary combination of Neural Networks models with cognitive learning theory and neuroscience contributes innovative investigations of essential educational issues
In other words, learning creativity phenomenon is detectable at educational field practice, during performing mutual bidirectional feedback between tutor and learner
This paper adopts realistic simulation and modeling of two relatively new creativity disciplines concerned with. It presents an investigational comparative study of observed learning creativity phenomenon associated with both creative disciplines
Summary
This piece of research is inspired by a strong belief that interdisciplinary combination of Neural Networks models with cognitive learning theory and neuroscience contributes innovative investigations of essential educational issues. This paper adopts realistic simulation and modeling of two relatively new creativity disciplines concerned with (i.e. humans and non-humans). It presents an investigational comparative study of observed learning creativity phenomenon associated with both creative disciplines. They are named as: swarm intelligence and neural networks which are modeled realistically aiming to reach innovative quantitative investigational study of observed creature’s creativity phenomenon in nature. The presented creativity models in this work are tightly related with behavioral learning convergence observed by humans (i.e. neural) and Ant Colony System (i.e. non neural) [1, 2]
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