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  This ontology document is licensed under the Creative Commons
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 <channel rdf:about="http://ebiquity.umbc.edu/tag/learning/">
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  <image rdf:resource="http://ebiquity.umbc.edu/img/logo.jpg" />  <title><![CDATA[RSS Tag Search]]></title>
  <link>http://ebiquity.umbc.edu/tag/learning/</link>
  <description><![CDATA[RSS Tag Search]]></description>
  <items>
   <rdf:Seq>
    <rdf:li resource="http://ebiquity.umbc.edu/research/area/id/14/Data-Mining"/>
    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/71/ArRf-Activity-Recognition-with-RF"/>
    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/75/Feeds-that-matter"/>
    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/42/flipix"/>
    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/68/memeta"/>
    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/57/Text-Mining-Approach-to-Ontology-Enrichment"/>
    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/80/XPod"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/377/Learning-the-Semantic-Meaning-of-a-Concept-from-the-Web"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/335/XPod-A-Human-Activity-Aware-Learning-Mobile-Music-Player"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/269/SVMs-for-the-Blogosphere-Blog-Identification-and-Splog-Detection"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/236/Modifying-Bayesian-Networks-by-Probability-Constraints"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/171/Mining-Domain-Specific-Texts-and-Glossaries-to-Evaluate-and-Enrich-Domain-Ontologies"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/234/Communicating-neural-network-knowledge-between-agents-in-a-simulated-aerial-reconnaissance-system"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/140/Recognizing-Activities-using-RFID"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/141/Recognizing-Activities-using-RFID"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/208/XPod-IJCAI-Presentation"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/246/Grammatical-Inference-Some-of-the-Questions-Out-There"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/237/Research-Challenges-In-Data-Mining"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/215/Empowering-Scientific-Discovery-by-Distributed-Data-Mining-on-the-Grid-Infrastructure"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/204/Transfer-in-the-Context-of-Reinforcement-Learning-by-Mapping-Q-Tables"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/205/Data-Clustering-with-a-Relational-Push-Pull-Model"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/193/Knowledge-Transfer-using-Multiresolution-Learning"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/188/Real-Time-Identification-of-Operating-Room-State-from-Video"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/171/Cost-Sensitive-Classifier-Evaluation-Using-Cost-Curves"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/166/Learning-the-Semantic-Meaning-of-a-Concept-from-the-Web"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/147/Using-Information-Extraction-to-Automatically-Generate-Probabilistic-Ontologies"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/124/Organizational-Learning-and-Network-Adaptation-in-Multi-Agent-Systems"/>
   </rdf:Seq>
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 </channel>
 <image rdf:about="http://ebiquity.umbc.edu/img/logo.jpg">
  <title>UMBC ebiquity research group</title>
  <link>http://ebiquity.umbc.edu</link>
  <url>http://ebiquity.umbc.edu/img/logo.jpg</url>
 </image>
 <item rdf:about="http://ebiquity.umbc.edu/research/area/id/14/Data-Mining">
  <title><![CDATA[Data Mining]]></title>
  <link>http://ebiquity.umbc.edu/research/area/id/14/Data-Mining</link>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/71/ArRf-Activity-Recognition-with-RF">
  <title><![CDATA[ArRf - Activity Recognition with RF]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/71/ArRf-Activity-Recognition-with-RF</link>
  <description><![CDATA[As the population ages tools for aiding in the care of elderly become increasingly valuable.  There is a need for a suite of tools that monitor senior citizens, help them through their day, and alert others if they need help.  Several good techniques for creating systems that assist senior citizens have emerged.  What all such computer systems lack is a good way to determine what a person is actually doing.  Entering every task that a person does into a computer is time consuming and not prac...]]></description>
  <dc:date>2005-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/75/Feeds-that-matter">
  <title><![CDATA[Feeds that matter]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/75/Feeds-that-matter</link>
  <description><![CDATA[Finding good feeds is getting harder as the Blogosphere grows. We analyze the Bloglines public feed subscriptions and describe techniques to induce an intuitive set of feed topics. The FTM! prototype service uses a ranked list of the "feeds that matter" for each topic to allow users to browse the catalog and subscribe to interesting feeds.]]></description>
  <dc:date>2006-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/42/flipix">
  <title><![CDATA[flipix]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/42/flipix</link>
  <description><![CDATA[Create a program that  can automatically rotate an image from a digital camera so that it is oriented correctly.   A machine learning approach will be used to develop a model that can predict the proper orientation from low level image features.  If interested, contact Tim Finin.]]></description>
  <dc:date>2003-12-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/68/memeta">
  <title><![CDATA[memeta]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/68/memeta</link>
  <description><![CDATA[Weblogs, or blogs, have become an important new way to publish information, engage in discussions and form communities. The memeta project is developing a framework for representing and studying the structure and content of communities of blogs. We are particularly interested in how metadata about blogs can be extracted, discovered and computed and how that metadata can be used in the analysis of blogs and to provide new blog related services.  Examples of concrete problems we hope to be able...]]></description>
  <dc:date>2005-03-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/57/Text-Mining-Approach-to-Ontology-Enrichment">
  <title><![CDATA[Text Mining Approach to Ontology Enrichment]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/57/Text-Mining-Approach-to-Ontology-Enrichment</link>
  <description><![CDATA[Ontologies have been widely accepted as the most advanced knowledge representation model. They are among the most important building blocks of semantic web, hence, very crucial for the success of semantic web. Huge effort is needed from the domain expert in order to construct ontologies manually. There is a need for semi-automatic approach in ontology building which will help the domain expert in constructing extensive domain ontologies efficiently. We propose the use of text mining technique...]]></description>
  <dc:date>2003-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/80/XPod">
  <title><![CDATA[XPod]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/80/XPod</link>
  <description><![CDATA[The XPod system aims
to integrate awareness of human activity and musical
preferences to produce an adaptive system
that plays the contextually correct music. The
XPod project introduces a “smart” music player
that learns its user’s preferences and activity, and
tailors its music selections accordingly. We are using
a BodyMedia device that has been shown to accurately
measure a user’s physiological state. The
device is able to monitor a number of variables to
determine its u...]]></description>
  <dc:date>2004-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/377/Learning-the-Semantic-Meaning-of-a-Concept-from-the-Web">
  <title><![CDATA[Learning the Semantic Meaning of a Concept from the Web]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/377/Learning-the-Semantic-Meaning-of-a-Concept-from-the-Web</link>
  <description><![CDATA[Many researchers have used text classification method in solving the ontology mapping problem. Their mapping results heavily depend on the availability of quality exemplars used as training data. However, manual preparation of exemplars is costly. In this work, we propose to automatically extract text from web pages returned by a search engine. Search queries are formed according to the semantic information given in the ontology. We have implemented a prototype system that automates the entir...]]></description>
  <dc:date>2007-05-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/335/XPod-A-Human-Activity-Aware-Learning-Mobile-Music-Player">
  <title><![CDATA[XPod: A Human Activity Aware Learning Mobile Music Player]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/335/XPod-A-Human-Activity-Aware-Learning-Mobile-Music-Player</link>
  <description><![CDATA[The XPod system, presented in this paper, aims
to integrate awareness of human activity and musical
preferences to produce an adaptive system
that plays the contextually correct music. The
XPod project introduces a “smart” music player
that learns its user’s preferences and activity, and
tailors its music selections accordingly. We are using
a BodyMedia device that has been shown to accurately
measure a user’s physiological state. The
device is able to monitor a number of var...]]></description>
  <dc:date>2007-01-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/269/SVMs-for-the-Blogosphere-Blog-Identification-and-Splog-Detection">
  <title><![CDATA[SVMs for the Blogosphere: Blog Identification and Splog Detection]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/269/SVMs-for-the-Blogosphere-Blog-Identification-and-Splog-Detection</link>
  <description><![CDATA[Weblogs, or blogs have become an important new way to publish
information, engage in discussions and form communities. The
increasing popularity of blogs has given rise to search and analysis
engines focusing on the 'blogosphere'.  A key requirement of such
systems is to identify blogs as they crawl the Web.
While this ensures that only blogs are indexed, blog search engines
are also often overwhelmed by spam blogs (splogs). Splogs not only
incur computational overheads but also reduce...]]></description>
  <dc:date>2006-03-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/236/Modifying-Bayesian-Networks-by-Probability-Constraints">
  <title><![CDATA[Modifying Bayesian Networks by Probability Constraints]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/236/Modifying-Bayesian-Networks-by-Probability-Constraints</link>
  <description><![CDATA[This paper deals with the following problem:
modify a Bayesian network to satisfy a given set
of probability constraints by only changeing its
conditional probability tables while keeping the probability
distribution of the resulting network  as
close as possible to that of the original.
We solve this problem by extending
IPFP (iterative proportional fitting procedure) to
probability distributions represented by Bayesian
networks. The resulting algorithm, E-IPFP is further
developed...]]></description>
  <dc:date>2005-07-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/171/Mining-Domain-Specific-Texts-and-Glossaries-to-Evaluate-and-Enrich-Domain-Ontologies">
  <title><![CDATA[Mining Domain Specific Texts and Glossaries to Evaluate and Enrich Domain Ontologies]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/171/Mining-Domain-Specific-Texts-and-Glossaries-to-Evaluate-and-Enrich-Domain-Ontologies</link>
  <description><![CDATA[Ontologies have been widely accepted as the most advanced knowledge representation model. They are among the most important building blocks of semantic web, hence, very crucial for the success of semantic web. This paper discusses a fast and efficient method to facilitate the evaluation and enrichment of domain ontologies using a text-mining approach. We exploit domain specific texts and glossaries or dictionaries in order to automatically generate g-groups and f-groups. These groups are sets...]]></description>
  <dc:date>2004-06-21</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/234/Communicating-neural-network-knowledge-between-agents-in-a-simulated-aerial-reconnaissance-system">
  <title><![CDATA[Communicating neural network knowledge between agents in a simulated aerial reconnaissance system]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/234/Communicating-neural-network-knowledge-between-agents-in-a-simulated-aerial-reconnaissance-system</link>
  <description><![CDATA[In order to maintain their performance in a dynamic environment,
agents may be required to modify their learning
behavior during run-time. If an agent utilizes a rule-based
system for learning, new rules may be easily communicated
to the agent in order to modify the way in which it learns.
However, if an agent utilizes a connectionist-based system
for learning, the way in which the agent learns typically
remains static. This is due, in part, to a lack of research
in communicating subs...]]></description>
  <dc:date>1999-10-03</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/140/Recognizing-Activities-using-RFID">
  <title><![CDATA[Recognizing Activities using RFID]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/140/Recognizing-Activities-using-RFID</link>
  <description><![CDATA[Discovering the activites of daily life through a wearable RFID tag reader.]]></description>
  <dc:date>2005-09-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/141/Recognizing-Activities-using-RFID">
  <title><![CDATA[Recognizing Activities using RFID]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/141/Recognizing-Activities-using-RFID</link>
  <dc:date>2005-09-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/208/XPod-IJCAI-Presentation">
  <title><![CDATA[XPod IJCAI Presentation]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/208/XPod-IJCAI-Presentation</link>
  <dc:date>2006-10-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/246/Grammatical-Inference-Some-of-the-Questions-Out-There">
  <title><![CDATA[Grammatical Inference: Some of the Questions Out There]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/246/Grammatical-Inference-Some-of-the-Questions-Out-There</link>
  <description><![CDATA[Grammatical Inference is a field concerned with learning
grammars given data about a language.  In this talk we
survey some of the questions being addressed by researchers
in the field.  Some of these are now classical and have been
looked into for some time, others are more recent:

understanding the models and the paradigms:
what does polynomial language learning mean?

learning more complex families of languages

scaling up and using grammatical inference in applications]]></description>
  <dc:date>2008-06-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/237/Research-Challenges-In-Data-Mining">
  <title><![CDATA[Research Challenges In Data Mining]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/237/Research-Challenges-In-Data-Mining</link>
  <description><![CDATA[Research in data mining has led to advanced knowledge discovery
technologies and applications. In this talk, we will discuss some
emerging research issues for advanced technologies and
applications in data mining and discuss some recent progress in
this direction, including (1) exploration of the power of pattern
mining, (2) analysis of multidimensional, heterogeneous and
evolving information network, (3) mining of fast changing data
streams, (4) mining of moving object data, RFID data...]]></description>
  <dc:date>2008-04-22</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/215/Empowering-Scientific-Discovery-by-Distributed-Data-Mining-on-the-Grid-Infrastructure">
  <title><![CDATA[Empowering Scientific Discovery by Distributed Data Mining on the Grid Infrastructure]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/215/Empowering-Scientific-Discovery-by-Distributed-Data-Mining-on-the-Grid-Infrastructure</link>
  <description><![CDATA[The grid-based computing paradigm has attracted much attention in recent years. The sharing of distributed computing resources (such as software, hardware, data, sensors, etc) is an important aspect of grid computing. Computational Grids focus on methods for handling compute intensive tasks while Data Grids are geared toward data-intensive computing. Grid-based computing has been put to use in several scientific disciplines such as astronomy, engineering, climate studies, ecology, biology and...]]></description>
  <dc:date>2007-09-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/204/Transfer-in-the-Context-of-Reinforcement-Learning-by-Mapping-Q-Tables">
  <title><![CDATA[Transfer in the Context of Reinforcement Learning by Mapping Q-Tables]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/204/Transfer-in-the-Context-of-Reinforcement-Learning-by-Mapping-Q-Tables</link>
  <description><![CDATA[Transfer in machine learning is the process of using knowledge
learned in a source domain to speed learning in one or more related
target domains. In human learning, transfer is a ubiquitous
phenomenon. In machine learning, transfer is far less common. In
this thesis we present a transfer method for reinforcement learning
when the learner does not have access to a model of either the
source or the target domains (i.e., the transition and reward
probabilities are unknown) and there is n...]]></description>
  <dc:date>2007-05-02</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/205/Data-Clustering-with-a-Relational-Push-Pull-Model">
  <title><![CDATA[Data Clustering with a Relational Push-Pull Model]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/205/Data-Clustering-with-a-Relational-Push-Pull-Model</link>
  <description><![CDATA[Relational data clustering is the task of grouping data objects together when both features and relations between objects are present. I present a new generative model for relational data in which relations between objects can have either a binding or separating effect. For example, with a group of students separated into gender clusters, a "dating" relation would appear most frequently between the clusters, but a "roommate" relation would appear more often within clusters. In visualizing the...]]></description>
  <dc:date>2007-04-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/193/Knowledge-Transfer-using-Multiresolution-Learning">
  <title><![CDATA[Knowledge Transfer using Multiresolution Learning]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/193/Knowledge-Transfer-using-Multiresolution-Learning</link>
  <description><![CDATA[For my dissertation research, I propose to explore the transfer of knowledge at multiple levels of abstraction to improve learning. These multiple levels of abstraction will be created using multiresolution analysis, providing a principled and formal mechanism for abstracting knowledge.  I claim that by exploiting the similarities between objects at various levels of detail, learning at multiple resolutions can facilitate transfer between related tasks.

The use of multiple resolutions allo...]]></description>
  <dc:date>2007-03-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/188/Real-Time-Identification-of-Operating-Room-State-from-Video">
  <title><![CDATA[Real-Time Identification of Operating Room State from Video]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/188/Real-Time-Identification-of-Operating-Room-State-from-Video</link>
  <description><![CDATA[Managers of operating rooms (ORs) and of units upstream and downstream of
the OR (e.g., postanesthesia care) seek real-time information about OR
occupancy to make decisions about managing OR workflow and coordinating
resources.  Nursing and anesthesia staff typically record patient in/out
times by hand, and OR managers spend time walking about the OR suite to
estimate the time each case will finish.  This thesis describes a system
for using real-time video to automatically identify the ...]]></description>
  <dc:date>2006-11-20</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/171/Cost-Sensitive-Classifier-Evaluation-Using-Cost-Curves">
  <title><![CDATA[Cost-Sensitive Classifier Evaluation Using Cost Curves]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/171/Cost-Sensitive-Classifier-Evaluation-Using-Cost-Curves</link>
  <description><![CDATA[The evaluation of classifier performance in a cost-sensitive setting is 
straightforward if the operating conditions (misclassification costs and 
class distributions) are fixed and known. When this is not the case, 
evaluation requires a method of visualizing classifier performance 
across the full range of possible operating conditions. This talk argues 
that the classic technique for classifier performance visualization -- 
the ROC curve – is inadequate for the needs of researchers...]]></description>
  <dc:date>2006-09-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/166/Learning-the-Semantic-Meaning-of-a-Concept-from-the-Web">
  <title><![CDATA[Learning the Semantic Meaning of a Concept from the Web]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/166/Learning-the-Semantic-Meaning-of-a-Concept-from-the-Web</link>
  <description><![CDATA[Many researchers have applied text classification techniques to the ontology mapping problem. The mapping results in these researches heavily depend on the availability of highly relevant text exemplars associated with individual concepts. However, manual preparation of exemplars is costly. In this work, we propose to automatically collect text exemplars by downloading and processing web pages listed in the search results obtained by querying a search engine. Search queries are formed for eac...]]></description>
  <dc:date>2006-08-03</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/147/Using-Information-Extraction-to-Automatically-Generate-Probabilistic-Ontologies">
  <title><![CDATA[Using Information Extraction to Automatically Generate Probabilistic Ontologies]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/147/Using-Information-Extraction-to-Automatically-Generate-Probabilistic-Ontologies</link>
  <description><![CDATA[The Semantic Web is a rapidly developing research area that promises
to deliver Tim Berners-Lee's vision of a world where agents can
communicate, reason, and act to complete complex tasks for their
users.  Ontology languages have evolved as the de facto presentation
language for the Semantic Web.  Today there are over one million
Semantic Web Documents indexed in the Swoogle database collection.
This seemingly impressive number is dwarfed by the more than nine
billion pages in the Goog...]]></description>
  <dc:date>2006-04-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/124/Organizational-Learning-and-Network-Adaptation-in-Multi-Agent-Systems">
  <title><![CDATA[Organizational Learning and Network Adaptation in Multi-Agent Systems]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/124/Organizational-Learning-and-Network-Adaptation-in-Multi-Agent-Systems</link>
  <description><![CDATA[In both real and artificial societies, successful organizations are
highly dependent upon a structure that fosters effective and efficient
behavior at both the individual and the organizational levels. In
multi-agent systems, groups of agents must coordinate effectively in
order to solve problems, allocate tasks across a distributed
organization, collectively distribute knowledge and information, and
achieve collective goals.  The organizational structure of a
multi-agent system dictat...]]></description>
  <dc:date>2005-11-14</dc:date>
 </item>
</rdf:RDF>
