IntelligentAgents

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29 Οκτ 2013 (πριν από 3 χρόνια και 11 μήνες)

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Current research in
Intelligence Agents

Victor Govindaswamy

Contents


Introduction


Example uses of Agents in


World Wide Web


Water systems


Smart Cars


Virtual reality
-
based training


Medical image processing systems


Conclusion



Introduction


Roles of intelligence agents have expanded
since the 1990s…


Variety of roles


These roles are demonstrated in recent projects
such as


Smart Cars,


World Wide Web,


Medical image processing,


Monitoring and analyzing processes,


Virtual reality
-
based training systems


Water systems.



Example use of Agents in

World Wide Web

Sapp, D.; Shang, Y., Intelligent Web representatives, Proceedings 11th
International Conference on Tools with Artificial Intelligence 1999.


Introduced a design and implementation of
an intelligent agent that is based on
existing Internet and Web technologies


3 main design parts to fulfill the need


for a natural language parser,


to represent knowledge and


for effective communication between the user
and the computer.

Example use of Agents in

World Wide Web

Sapp, D.; Shang, Y., Intelligent Web representatives, Proceedings 11th
International Conference on Tools with Artificial Intelligence 1999.



Splits a sentence into its subject, verb and predicate using a parser


3 main parts for the parser’s algorithms:


Splits apart the verb by using a database of known verbs


Search the unknown subject and predicate for keywords


Return the contents of the sentence in a usable format



The agent narrows down the user’s question to a few key terms



Pattern matched to find the best answer



Uses Extensible markup language (XML)


a language was developed based on XML for searching the database and a
separate parser to sift through the content and locate the answer.



As for communication between user and communication, Microsoft Agent is used



voice recognition and other advanced features.

Example use of Agents in

Smart Cars

Bourbakis, N.; Findler, M., Smart cars as autonomous intelligent agents,
Proceedings 13th IEEE International Conference on Tools with Artificial
Intelligence, 2001.


Propose an idea to use intelligent agents in a
smart car to gather information related to its
surrounding environment


Agents are being used to


determine its position and distance relative to other
moving and stationary objects


detect motion and track behavioral patterns of other
objects


exchange information via internet with the other
moving objects in order to cooperate and negotiate a
safe environment during the journey


Example use of Agents in

water sharing

Le Bars, M.; Attonaty, J.M., A multi
-
agent system to the common management
of a renewable resource: application to water sharing, Proceedings 13th IEEE
International Conference on Tools with Artificial Intelligence, 2001




Propose that intelligent agents can be used to solve the water
sharing problem among farmers in France



Current approaches such as linear programming or game theory are
based on assumptions that


the people involved are completely rational and include only a limited
number of people..


Not dynamic



Building an Agent
-
Based Modeling (ABM) with a Multi
-
Agent
approach that enables negotiations among a variety and an ever
-
increasing number of players by taking into consideration


water allocation rules,


the players’ changing attitude and behavior.

Example use of Agents in

Virtual Reality
-
based Training Systems

Fuhua Lin; Chuan
-
Jun Su; Tseng, M.M., An agent
-
based approach to developing
intelligent virtual reality
-
based training systems, Proceedings 11th International
Conference on Tools with Artificial Intelligence, 1999.






Introduce an agent
-
based approach to modeling intelligent Virtual
Reality
-
based Training Systems (VRTS)


to help companies train their employees.



The characteristics of this approach includes


An agent
-
based architecture,


Using Petri Nets modeling is also used to realize communication,
coordination and task control among agents, and task plan designing,
pedagogical knowledge modeling, and behavior modeling of virtual
objects.


Several agents are being used for training
-
task planning, simulation,
performance evaluation, instruction and interfacing.

Example use of Agents in

interpreting medical images

Popescu, M.; Yi Shang, An agent
-
based approach for interpreting medical images,
Proceedings 11th International Conference on Tools with Artificial Intelligence, 1999

.





Use two types of agents in their agent
-
based approach for interpreting medical
images



patient representative and


receives an image of the patient from a web
-
based interface and
send it to a radiologist agent


radiologist


interprets the image using different image analysis algorithms


has a knowledge of anatomy that applies to all imaging modalities
and know
-
how of the specific physics of every modality in order to
interpret a given image

Conclusion


All these projects are trying to make the
agents more intelligent than ever.


Although the agents’ objectives might be
different and specific to a task, humankind
are inching their way to the ultimate goal
of making agents as intelligent or better
yet, more intelligent than humans.