modeling of learning all strategic types of normal form games, irregardless of the number of pure and mixed strategy Nash … equilibria that they exhibit. This is a more realistic model of learning than the oft used models in the game theory learning …

and learning. Design/methodology/approach A computational narrative semi-fiction generation (CNSG) approach is proposed … learning outcomes gained by participants through the new narratives, domain experts were invited to evaluate the performance of … things and learning points from the narratives. Domain experts agree that the validated narratives are useful for training …

features learning-by-doing, incremental and radical innovations, user-producer learning at the firm level, and a change in the … a competence base, which supports the learning from other firms. …

movements are learning as the technology emerges. Self-driving cars represent a high-stakes test of the powers of machine … learning, as well as a test case for social learning in technology governance. Society is learning about the technology while … learning, what are they learning and how are they learning?’ Focusing on the successes and failures of social learning around …

dimensionality. Later, reinforcement learning (RL) was introduced to overcome some deficiencies in the traditional DP mainly related … with Q-learning shows the superiority of the SENN, especially during drought periods. Moreover, the SENN performs better in … applications to multi-reservoir systems, (2) a comparative analysis between SENN and Q-learning especially in prolonged drought …

deep learning models, including deep belief networks and deep Boltzmann machines. We show that (a) these deep generative …