New developments in AI and neuroscience are revitalizing the quest to understanding natural intelligence, offering insight about how to equip machines with human-like capabilities. This paper reviews some of the computational principles relevant for understanding natural intelligence and, ultimately, achieving strong AI. After reviewing basic principles, a variety of computational modeling appr...

In 1971 I wrote a paper attempting to relate some old philosophical issues about representation and reasoning to problems in Artificial Intelligence. A major theme of the paper was the importance of distinguishing “analogical” from “Fregean” representations. I still think the distinction is important, though perhaps not as important for current problems in A.I. as I used to think. In this paper...

Gray et al. (2014) examined the productivity of expert systems/artificial intelligence research in accounting and came to the conclusion that both research on and practice use of expert systems/artificial intelligence had waned since the late 1990s. In our study, we reconsider these findings based on a broader view that is ‘artificial intelligence’ centric versus ‘expert systems’ centric. The r...

This study addresses the use of predictive modeling techniques; primarily feed-forward artificial neural networks as a tool for forecasting geological exploration targets for gold prospecting. It also provides evidence of effectiveness of using Business Intelligence systems to model pathfinder variables, anomaly detection, and forecasting to locate potential exploration sites for precious metal...

0968-090X/$ see front matter 2008 Published b doi:10.1016/j.trc.2008.03.002 E-mail address: [email protected] Agent-based modeling is an approach based on the idea that a system is composed of decentralized individual ‘‘agents” and that each agent interacts with other agents according to localized knowledge. Special kinds of artificial agents are the agents created by analogy with social inse...

This study wants to investigate the rating of the actual customers of banks based on credit risk using multiple criteria decision making and artificial intelligence hyperbolic regression. This is an applied research. The statistical population of the study includes the credit customers of Agriculture Bank in west branches of Mazandaran province, Iran in 2012-2016. A total of 100 cases have been...

The purpose of this paper is to define software engineering abstractions that provide a generic framework for stock market simulations. We demonstrate a series of key points and principles that has governed the development of an Agent-Based financial market in the form of an API. The simulator architecture is presented. During artificial market construction we have faced the whole variety of ag...

Intrusion Detection Based On Artificial Intelligence Technique proposed for the development in the field of intrusion detection using artificial intelligence