Green patents, regulatory policies and research network policies

Intelligent multi-agent modeling of the interbank network and evaluation of the impact of regulatory policies

agent-based modeling is an emerging computational technique that makes it possible to simulate complex economic systems, including the banking network, with a bottom-up approach. In this paper, the country's banking network is simulated with an intelligent multi-agent modeling model and indicates that these agents behave based on the adaptive learning. This modeling has been done with the aim o...

The Impact of Regulatory Policies on Volatility under Prudential Framework

Utilizing finance conceptual framework, this paper applies a Frontier-Volatility analysis to illuminate regulatory policies effects on volatility under Iranian Banking Prudential Framework over the period 2003 to 2015 using the raw database collected, classified and compiled by the Rahavard Novin Co. version 3, Securities and Stock Exchange Organization. Findings portray that volatility is affe...

On Neural Network Policies

Machine learning classifiers are known to be vulnerable to inputs maliciously constructed by adversaries to force misclassification. Such adversarial examples have been extensively studied in the context of computer vision applications. In this work, we show adversarial attacks are also effective when targeting neural network policies in reinforcement learning. Specifically, we show existing ad...

Innovation Networks and Network Policies

Deriving IPSec Network Security Policies from Organization Security Policies

This paper presents a new model for describing IPSec policies that can be derived by using classifications assigned to information flows. The classifications assigned to information flows are assigned in accordance with NIST information security guidelines.