WebAug 20, 2024 · We propose a hybrid machine learning architecture that simultaneously employs multiple deep learning models analyzing contextual and behavioral characteristics of Windows portable executable, producing a final prediction based on a decision from the meta-model. The detection heuristic in contemporary machine learning Windows malware … WebAug 11, 2016 · Agent-based modeling (ABM) offers a promising alternative to assess and test resilience-related measures. The main aim of this chapter therefore is to discuss the potentials of ABM for urban resilience research. We introduce a simple model for a selected case and discuss insights gained from this model, but also demonstrate challenges for …
MASON: A Multiagent Simulation Environment - Sean Luke, …
WebDec 1, 2016 · Agent-based models (ABMs) are increasingly recognized as valuable tools in modelling human-environmental systems, but challenges and critics remain. One pressing … WebQuo vadis, agent-based modelling tools? Author links open overlay panel Aisling J. Daly 1, Lander De Visscher 1, Jan M. Baetens, Bernard De Baets. ... Abstract. Agent-based … target gateway hours
Describing human decisions in agent-based models – ODD + D, an ...
WebDec 4, 2024 · The current paper is a brief review of the emerging field of quantum-like modelling in game theory. This paper aims to explore several quantum games, which are superior compared to their classical counterparts, which means either they give rise to superior Nash equilibria or they make the game fairer. For example, quantum Prisoners … WebIn the last few years, the agent-based modeling (ABM) community has developed several practical agent based modeling toolkits that enable individuals to develop agent-based … WebThe purpose of this paper is to explore potential uses of one such quantitative tool, agent-based modeling, in evaluation practice. To this end, we define agent-based modeling and … target gateway drive