http://www.bibsonomy.org/burst/tag/agentsBibSonomy BuRST Feed for /tag/agents2008-11-19T05:48:34+01:00Enabling agents to work togetherhttp://www.bibsonomy.org/bibtex/228f9a5ebc9c45dbd0c10375fcd92379c/mschubermschuber2008-11-17T12:48:05+01:00collaboration agents to-read <span style="color:#555555;">R. V. <a href="http://www.bibsonomy.org/author/Guha">Guha</a> und Douglas B. <a href="http://www.bibsonomy.org/author/Lenat">Lenat</a> </span><em>Commun. ACM</em><em>37(7):126--142</em>(<em>1994</em>)Mon Nov 17 12:48:05 CET 2008New York, NY, USACommun. ACM7126--142Enabling agents to work together371994collaboration agents to-read http://www.bibsonomy.org/bibtex/232bfbf2e37d6de8841beaa4d2e1d54dd/austindavidsonaustindavidson2008-11-15T05:00:06+01:00mergers,Entertainment managers 1,Acquisitions agents \& industry ,Talent <span style="color:#555555;">BERNARD <a href="http://www.bibsonomy.org/author/WEINRAUB">WEINRAUB</a> und ANITA M. <a href="http://www.bibsonomy.org/author/BUSCH">BUSCH</a> </span><em>http://ezproxy.library.wwu.edu/login?url=http://proquest.umi.com/pqdweb?did=117880426&amp;Fmt=7&amp;clientId=9320&amp;RQT=309&amp;VName=PQD, </em><em>May2002. </em>Sat Nov 15 05:00:06 CET 2008http://ezproxy.library.wwu.edu/login?url=http://proquest.umi.com/pqdweb?did=117880426\&Fmt=7\&clientId=9320\&RQT=309\&VName=PQD New York TimesMayA Faded Hollywood Power Broker Relinquishes His Talent Business2002mergers,Entertainment managers 1,Acquisitions agents \& industry ,Talent http://www.bibsonomy.org/bibtex/2e672f158fc594179cd9fd36f8a135de4/claudia.wagnerclaudia.wagner2008-09-29T16:18:01+02:00jabber 2008 xmpp paper agents eswc xopertor <span style="color:#555555;">Sebastian <a href="http://www.bibsonomy.org/author/Dietzold">Dietzold</a> und J&#246;rg <a href="http://www.bibsonomy.org/author/Unbehauen">Unbehauen</a> und S&#246;ren <a href="http://www.bibsonomy.org/author/Auer">Auer</a> </span><em>Proceedings of the 5th European Semantic Web Conference, </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em><em>June2008. </em>Mon Sep 29 16:18:01 CEST 2008Berlin, HeidelbergProceedings of the 5th European Semantic Web ConferenceJuneLNCSxOperator - Interconnecting the Semantic Web and Instant Messaging Networks2008jabber 2008 xmpp paper agents eswc xopertor Instant Messaging is in addition to Web and Email the most popular service on the Internet. With xOperator we present a strategy and implementation which deeply integrates Instant Messaging networks with the Semantic Web. The xOperator concept is based on the idea of creating an overlay network of collaborative information agents on top of social IM networks. It can be queried using a controlled and easily extensible language based on AIML templates. Such a deep integration of semantic technologies and Instant Messaging bears a number of advantages and benefits for users when compared to the separated use of Semantic Web technologies and IM, the most important ones being context awareness as well as provenance and trust. We showcase how the xOperator approach naturally facilitates contacts and calendar management as well as access to large scale heterogeneous information sources.http://www.bibsonomy.org/bibtex/20ae01feac8e411de29edec747ed9cf34/yishyish2008-09-24T18:36:03+02:00artifcial agents embodied constructivism learning language <span style="color:#555555;">Luc <a href="http://www.bibsonomy.org/author/Steels">Steels</a> </span>(<em>2004</em>)Wed Sep 24 18:36:03 CEST 2008Constructivist Development of Grounded Construction Grammars2004artifcial agents embodied constructivism learning language The paper reports on progress in building computational models of a constructivist approach to language development. It introduces a formalism for construction grammars and learning strategies based on invention, abduction, and induction. Examples are drawn from experiments exercising the model in situated language games played by embodied artifcial agents.http://www.bibsonomy.org/bibtex/2bddd9113239992d5c469686d53757c2f/yishyish2008-09-24T18:34:17+02:00fluid planning agents autonomous AI learning language grammer multiagent <span style="color:#555555;">Luc <a href="http://www.bibsonomy.org/author/Steels">Steels</a> und Joris <a href="http://www.bibsonomy.org/author/Bleys">Bleys</a> </span>(<em>2005</em>)Wed Sep 24 18:34:17 CEST 2008Planning What To Say: Second Order Semantics for Fluid Construction Grammars2005fluid planning agents autonomous AI learning language grammer multiagent Research in the origins and evolution of language has now reached a level where languages with grammatical structures are emerging in computer simulations and robotic experiments based on situated embodied language games played by populations of agents. This paper focuses on some of the technical AI issues related to this research. Specifically, we report on a system for planning complex meanings (IRL) and on their grammatical expression in Fluid Construction Grammarhttp://www.bibsonomy.org/bibtex/235bbc8addded8e9ad7aac22652c084f3/yishyish2008-09-24T18:32:05+02:00naming memes symbol agents cultural self-organisation learning evolution categorisation colour of semiotic dynamics origins genetic autonomous grounding connectionism AI language <span style="color:#555555;">Luc <a href="http://www.bibsonomy.org/author/Steels">Steels</a> und Tony <a href="http://www.bibsonomy.org/author/Belpaeme">Belpaeme</a> </span><em>Behavioral and Brain Sciences</em><em>28(04):469-489</em>(<em>2005</em>)Wed Sep 24 18:32:05 CEST 2008Behavioral and Brain Sciences04469-489Coordinating perceptually grounded categories through language: A case study for colour282005naming memes symbol agents cultural self-organisation learning evolution categorisation colour of semiotic dynamics origins genetic autonomous grounding connectionism AI language This article proposes a number of models to examine through which mechanisms a population of autonomous agents could arrive at a repertoire of perceptually grounded categories that is sufficiently shared to allow successful communication. The models are inspired by the main approaches to human categorisation being discussed in the literature: nativism, empiricism, and culturalism. Colour is taken as a case study. Although we take no stance on which position is to be accepted as final truth with respect to human categorisation and naming, we do point to theoretical constraints that make each position more or less likely and we make clear suggestions on what the best engineering solution would be. Specifically, we argue that the collective choice of a shared repertoire must integrate multiple constraints, including constraints coming from communication.http://www.bibsonomy.org/bibtex/2c6486809c649aa9f4dc14d9fd4fb33bc/anrcareanrcare2008-07-25T16:11:24+02:00funology agents entertainment <span style="color:#555555;">Colleen <a href="http://www.bibsonomy.org/author/Lent">Lent</a> und Kelly <a href="http://www.bibsonomy.org/author/Christoffersen">Christoffersen</a> und Hsiu-Chin <a href="http://www.bibsonomy.org/author/Lin">Lin</a> </span><em>Journal of Computing Sciences in Colleges</em><em>Jun2008. </em>Fri Jul 25 16:11:24 CEST 2008Journal of Computing Sciences in CollegesJun6Creating agents that entertain232008funology agents entertainment Game AI research is moving away from the creation of dominant computer agents to the idea of creating agents that focus on entertainment. The development of a realistic definition of entertainment, or "fun", requires a qualitative measure on subjective ...http://www.bibsonomy.org/bibtex/25eb50d4babe4b16e061618bab571a555/brazovayeyebrazovayeye2008-06-19T17:46:40+02:00adaptive behavior agents life, artificial and <span style="color:#555555;">Richard <a href="http://www.bibsonomy.org/author/Walker">Walker</a> und Orazio <a href="http://www.bibsonomy.org/author/Miglino">Miglino</a> </span><em>Proceedings of the Genetic and Evolutionary Computation Conference, </em><em>2, </em><em>Seite1422--1428. </em><em>Orlando, Florida, USA, </em><em>Morgan Kaufmann, </em><em>13-17 July1999. </em>Thu Jun 19 17:46:40 CEST 2008Orlando, Florida, USAProceedings of the Genetic and Evolutionary Computation Conference13-17 July1422--1428Simulating exploratory behavior in evolving Neural Networks21999adaptive behavior agents life, artificial and http://www.bibsonomy.org/bibtex/2536d6ce5d2260f976c501c69d4684475/brazovayeyebrazovayeye2008-06-19T17:46:40+02:00adaptive behavior agents life, artificial and <span style="color:#555555;">Keiki <a href="http://www.bibsonomy.org/author/Takadama">Takadama</a> und Takao <a href="http://www.bibsonomy.org/author/Terano">Terano</a> und Katsunori <a href="http://www.bibsonomy.org/author/Shimohara">Shimohara</a> </span><em>Proceedings of the Genetic and Evolutionary Computation Conference, </em><em>2, </em><em>Seite1398--1405. </em><em>Orlando, Florida, USA, </em><em>Morgan Kaufmann, </em><em>13-17 July1999. </em>Thu Jun 19 17:46:40 CEST 2008Orlando, Florida, USAProceedings of the Genetic and Evolutionary Computation Conference13-17 July1398--1405How to Design Good Learning Agents in Organization21999adaptive behavior agents life, artificial and http://www.bibsonomy.org/bibtex/2571ed7aad653d6ca5bef9f0942397594/brazovayeyebrazovayeye2008-06-19T17:46:40+02:00adaptive behavior agents life, artificial and <span style="color:#555555;">David <a href="http://www.bibsonomy.org/author/Sturgill">Sturgill</a> und Gautam <a href="http://www.bibsonomy.org/author/Pant">Pant</a> </span><em>Proceedings of the Genetic and Evolutionary Computation Conference, </em><em>2, </em><em>Seite1390--1397. </em><em>Orlando, Florida, USA, </em><em>Morgan Kaufmann, </em><em>13-17 July1999. </em>Thu Jun 19 17:46:40 CEST 2008Orlando, Florida, USAProceedings of the Genetic and Evolutionary Computation Conference13-17 July1390--1397Evaluation Criteria for Genetically-Tuned Problem-Solving Experts21999adaptive behavior agents life, artificial and http://www.bibsonomy.org/bibtex/2c155d120b9da490cd4fc830ae60fc004/brazovayeyebrazovayeye2008-06-19T17:46:40+02:00adaptive behavior agents life, artificial and <span style="color:#555555;">C. R. <a href="http://www.bibsonomy.org/author/Stephens">Stephens</a> </span><em>Proceedings of the Genetic and Evolutionary Computation Conference, </em><em>2, </em><em>Seite1382--1389. </em><em>Orlando, Florida, USA, </em><em>Morgan Kaufmann, </em><em>13-17 July1999. </em>Thu Jun 19 17:46:40 CEST 2008Orlando, Florida, USAProceedings of the Genetic and Evolutionary Computation Conference13-17 July1382--1389Effect of Mutation and Recombination on the Genotype-Phenotype Map21999adaptive behavior agents life, artificial and fitness landscape, symmetry breaking, self organisation, orthogenesis robust, brittlenesshttp://www.bibsonomy.org/bibtex/2abd1f5d545a13a95e02706db78392283/brazovayeyebrazovayeye2008-06-19T17:46:40+02:00Agents programming, genetic algorithms, Systems Complex and <span style="color:#555555;">Wing-Ho <a href="http://www.bibsonomy.org/author/Shum">Shum</a> und Kwong-Sak <a href="http://www.bibsonomy.org/author/Leung">Leung</a> und Man Leung <a href="http://www.bibsonomy.org/author/Wong">Wong</a> </span><em>Intelligent Data Engineering and Automated Learning - IDEAL 2005, 6th International Conference, Proceedings, </em><em>Volume3578vonLecture Notes in Computer Science, </em><em>Seite546--554. </em><em>Brisbane, Australia, </em><em>Springer, </em><em>July 6-82005. </em>Thu Jun 19 17:46:40 CEST 2008Brisbane, AustraliaIntelligent Data Engineering and Automated Learning - IDEAL 2005, 6th International Conference, ProceedingsJuly 6-8546--554Lecture Notes in Computer ScienceCo-evolutionary Rule-Chaining Genetic Programming35782005Agents programming, genetic algorithms, Systems Complex and Genetic Programming (GP) paradigm called Co-evolutionary Rule-Chaining Genetic Programming (CRGP) has been proposed to learn the relationships among attributes represented by a set of classification rules for multi-class problems. It employs backward chaining inference to carry out classification based on the acquired acyclic rule set. Its main advantages are: 1) it can handle more than one class at a time; 2) it avoids cyclic result; 3) unlike Bayesian Network (BN), the CRGP can handle input attributes with continuous values directly; and 4) with the flexibility of GP, CRGP can learn complex relationship. We have demonstrated its better performance on one synthetic and one real-life medical data sets.http://www.bibsonomy.org/bibtex/2b494772c5a5c3ef4be03d1a95ef7d34e/brazovayeyebrazovayeye2008-06-19T17:46:40+02:00adaptive behavior agents life, artificial and <span style="color:#555555;">Andreas <a href="http://www.bibsonomy.org/author/Rechsteiner">Rechsteiner</a> und Mark A. <a href="http://www.bibsonomy.org/author/Bedau">Bedau</a> </span><em>Proceedings of the Genetic and Evolutionary Computation Conference, </em><em>2, </em><em>Seite1366--1373. </em><em>Orlando, Florida, USA, </em><em>Morgan Kaufmann, </em><em>13-17 July1999. </em>Thu Jun 19 17:46:40 CEST 2008Orlando, Florida, USAProceedings of the Genetic and Evolutionary Computation Conference13-17 July1366--1373A Generic Neutral Model for Measuring Excess Evolutionary Activity of Genotypes21999adaptive behavior agents life, artificial and http://www.bibsonomy.org/bibtex/2af1d7476ef90d0ed2306b2e9988d760e/brazovayeyebrazovayeye2008-06-19T17:46:40+02:00echo, Holland's genetic agents reproducing algorithms, evolving <span style="color:#555555;">Stephen <a href="http://www.bibsonomy.org/author/Ong">Ong</a> </span><em>Artificial Life at Stanford 1994, </em><em>Stanford Bookstore, </em><em>Stanford, California, 94305-3079 USA, </em><em>June1994. </em>Thu Jun 19 17:46:40 CEST 2008Stanford, California, 94305-3079 USAArtificial Life at Stanford 1994June129--135Evolving Metazoans in Echo1994echo, Holland's genetic agents reproducing algorithms, evolving http://www.bibsonomy.org/bibtex/2e7169a5de1dd6200eafa2958c4ee5fcd/brazovayeyebrazovayeye2008-06-19T17:46:40+02:00adaptive behavior agents life, artificial and <span style="color:#555555;">Victor V. <a href="http://www.bibsonomy.org/author/Miagkikh">Miagkikh</a> und William F. <a href="http://www.bibsonomy.org/author/{Punch III}">Punch III</a> </span><em>Proceedings of the Genetic and Evolutionary Computation Conference, </em><em>2, </em><em>Seite1358--1365. </em><em>Orlando, Florida, USA, </em><em>Morgan Kaufmann, </em><em>13-17 July1999. </em>Thu Jun 19 17:46:40 CEST 2008Orlando, Florida, USAProceedings of the Genetic and Evolutionary Computation Conference13-17 July1358--1365An Approach to Solving Combinatorial Optimization Problems Using a Population of Reinforcement Learning Agents21999adaptive behavior agents life, artificial and http://www.bibsonomy.org/bibtex/20cdb71d8c51b19f1e8cb91e583d292e4/brazovayeyebrazovayeye2008-06-19T17:35:00+02:00adaptive behavior agents life, artificial and <span style="color:#555555;">Kenneth P. <a href="http://www.bibsonomy.org/author/Williams">Williams</a> und Shirley A. <a href="http://www.bibsonomy.org/author/Williams">Williams</a> </span><em>Proceedings of the Genetic and Evolutionary Computation Conference, </em><em>2, </em><em>Seite1429--1436. </em><em>Orlando, Florida, USA, </em><em>Morgan Kaufmann, </em><em>13-17 July1999. </em>Thu Jun 19 17:35:00 CEST 2008Orlando, Florida, USAProceedings of the Genetic and Evolutionary Computation Conference13-17 July1429--1436Two Evolutionary Representations for Automatic Parallelization21999adaptive behavior agents life, artificial and REVOLVERhttp://www.bibsonomy.org/bibtex/27dd30d212571f71bac157a16bbddf304/brazovayeyebrazovayeye2008-06-19T17:35:00+02:00adaptive behavior agents life, artificial and <span style="color:#555555;">Kimitaka <a href="http://www.bibsonomy.org/author/Uno">Uno</a> und Akira <a href="http://www.bibsonomy.org/author/Namatame">Namatame</a> </span><em>Proceedings of the Genetic and Evolutionary Computation Conference, </em><em>2, </em><em>Seite1414--1421. </em><em>Orlando, Florida, USA, </em><em>Morgan Kaufmann, </em><em>13-17 July1999. </em>Thu Jun 19 17:35:00 CEST 2008Orlando, Florida, USAProceedings of the Genetic and Evolutionary Computation Conference13-17 July1414--1421Evolutionary Behaviors Emerged through Strategic Interactions in the Large21999adaptive behavior agents life, artificial and http://www.bibsonomy.org/bibtex/213a322a09d8c86707b98def3333d7d7d/brazovayeyebrazovayeye2008-06-19T17:35:00+02:00programming, adaptive genetic behavior agents life, algorithms, artificial and <span style="color:#555555;">Eiji <a href="http://www.bibsonomy.org/author/Uchibe">Uchibe</a> und Masateru <a href="http://www.bibsonomy.org/author/Nakamura">Nakamura</a> und Minoru <a href="http://www.bibsonomy.org/author/Asada">Asada</a> </span><em>Proceedings of the Genetic and Evolutionary Computation Conference, </em><em>2, </em><em>Seite1406--1413. </em><em>Orlando, Florida, USA, </em><em>Morgan Kaufmann, </em><em>13-17 July1999. </em>Thu Jun 19 17:35:00 CEST 2008Orlando, Florida, USAProceedings of the Genetic and Evolutionary Computation Conference13-17 July1406--1413Cooperative and Competitive Behavior Acquisition for Mobile Robots through Co-evolution21999programming, adaptive genetic behavior agents life, algorithms, artificial and REVOLVERhttp://www.bibsonomy.org/bibtex/28b807061c8244b4c689b774eb15397e0/brazovayeyebrazovayeye2008-06-19T17:35:00+02:00software programming, genetic agents algorithms, <span style="color:#555555;">M. C. <a href="http://www.bibsonomy.org/author/Sinclair">Sinclair</a> und S. H. <a href="http://www.bibsonomy.org/author/Shami">Shami</a> </span><em>Second International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, GALESIA, </em><em>University of Strathclyde, Glasgow, UK, </em><em>IEE, </em>(<em>1997</em>)Thu Jun 19 17:35:00 CEST 2008University of Strathclyde, Glasgow, UKSecond International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, GALESIAEvolving Simple Software Agents: Comparing Genetic Algorithm and Genetic Programming Performance1997software programming, genetic agents algorithms, This paper investigates the relative efficiency of genetic algorithms and genetic programming in evolving simple software agents. The problem domain consists of an autonomous food-gathering agent placed on a square grid of hundred cells with food units spread evenly over the grid. Initial results show that evolving the agent using GP requires less effort than with GA. Nevertheless, further investigation revealed some interesting aspects.http://www.bibsonomy.org/bibtex/2bd30ce3d69d1a45dc6476c616c00a8e2/brazovayeyebrazovayeye2008-06-19T17:35:00+02:00adaptive behavior agents life, artificial and <span style="color:#555555;">Oliver <a href="http://www.bibsonomy.org/author/Sharpe">Sharpe</a> </span><em>Proceedings of the Genetic and Evolutionary Computation Conference, </em><em>2, </em><em>Seite1374--1381. </em><em>Orlando, Florida, USA, </em><em>Morgan Kaufmann, </em><em>13-17 July1999. </em>Thu Jun 19 17:35:00 CEST 2008Orlando, Florida, USAProceedings of the Genetic and Evolutionary Computation Conference13-17 July1374--1381Persistence, Search and Autopoiesis21999adaptive behavior agents life, artificial and