Computing the theory of evolution
Physica D
Neuronal dynamics and evolutionary learning
on Advances in Cognitive Science
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
The Use of Neutral Genotype-Phenotype Mappings for Improved Evolutionary Search
BT Technology Journal
A phylogenetic, ontogenetic, and epigenetic view of bio-inspired hardware systems
IEEE Transactions on Evolutionary Computation
Inductive reasoning and bounded rationality reconsidered
IEEE Transactions on Evolutionary Computation
Proceedings of the first NASD/DoD workshop on evolvable hardware [Book Reveiws]
IEEE Transactions on Evolutionary Computation
Artificial worlds modeling of human resource management systems
IEEE Transactions on Evolutionary Computation
Incremental or radical? A study of organizational innovation: An artificial world approach
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
An increasing growth of keen competitions among global industries greatly challenges present organizations (companies). The purpose of this study is to construct a computer simulation system for investigating the effects of organizations adopting different learning strategies on the change in consumer market share. The system constructed is an abstract model that captures some general features of consumers and organizations as well as their interactions in the real world, which constitutes an artificial world. It has four major modules: consumers, organizations, fitness evaluation, and organizational learning. These modules, including their interactions, are linked through the discrete-event simulation techniques. Experimental results show that different organizational learning strategies are better suited for different environments or the same environment at different times. Organizational learning provides organizations a chance of undergoing transformation to better meet consumers' needs. However, it is risky to blindly adopt an aggressive learning strategy when the environment (market) is not stable. Instead, it may be better to adopt a conservative learning strategy.