For problems where the evaluation of an individual is the dominant factor in the total computation time of the evolutionary process, minimizing the number of evaluations becomes cr...
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Rupp...
We present a detailed study of network evolution by analyzing four large online social networks with full temporal information about node and edge arrivals. For the first time at ...
Jure Leskovec, Lars Backstrom, Ravi Kumar, Andrew ...
Abstract. We propose a pattern-based software development method comprising analysis (using problem frames) and design (using architectural and design patterns), of which especiall...
Model integrated computing (MIC) is gaining increased attention as an effective and efficient method for developing, maintaining, and evolving large-scale, domain-specific softwar...