Abstract :
In today's environment each persons and
computer are connected with network, a new entity has
evolved: skilled agent software. Over the past few decade
agents have emerged as a new software paradigm; they are
in part distributed systems, autonomous programs and
artificial life. The concept of agents is an outgrowth of
years of research in the fields of AI and robotics. They
represent concepts of reasoning, knowledge representation,
and autonomous learning. Agents are automated programs
and provide tools for integration across multiple
applications and database running across open and closed
networks. They are a means of retrieving, filtering,
managing, monitoring, analysing and disseminating
information over the Internet, intranets and other
proprietary networks.
Agents represent a new generation of computing
systems and are one of the more recent developments in the
field of AI. Agents are specific applications with
predefined goals, which can run autonomously; for
example, an Internet-based agent can retrieve documents
based on user – defined criteria. They can also monitor an
environment and issue alerts or go into action based on
how they are programmed. In the course of investigative
data mining projects, for example agents can serve the
function of software detectives, monitoring, shadowing,
recognizing and retrieving information for analysis and
case development or real – time alerts.
Agents can be used by investigators and analysts to
work on their behalf; for example FinCEN, the U.S.
Treasury agency set up to detect money laundering, must
review all cash transactions involving dollar amounts of
above $ 10000. This amount is roughly 10 million
transactions a year, which cannot be manually monitored.
The FinCEN Artificial Intelligence System users, an agent
to weed through this large data space and search for
abnormalities and fraud through the use of neural network
and link analysis.
Keyword :
Open Source Agents, Data Mining Agents