https://mw.hh.se/caisr/index.php?action=history&feed=atom&title=Publications%3ALearning_to_evaluate_conditional_partial_plans 2026-04-04T11:03:41Z Revision history for this page on the wiki MediaWiki 1.35.13 https://mw.hh.se/caisr/index.php?title=Publications:Learning_to_evaluate_conditional_partial_plans&diff=2867&oldid=prev 2016-09-30T20:39:38Z

<p></p> <table class="diff diff-contentalign-left diff-editfont-monospace" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 20:39, 30 September 2016</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l4" >Line 4:</td> <td colspan="2" class="diff-lineno">Line 4:</td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>{{PublicationSetupTemplate|Author=Sławomir Nowaczyk, Jacek Malec</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>{{PublicationSetupTemplate|Author=Sławomir Nowaczyk, Jacek Malec</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|PID=587664</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|PID=587664</div></td></tr> <tr><td class='diff-marker'>−</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|Name=Nowaczyk, Sławomir <del class="diffchange diffchange-inline">[</del>slanow<del class="diffchange diffchange-inline">] </del>(Department of Computer Science, Lund University, Sweden);Malec, Jacek (Department of Computer Science, Lund University, Sweden)</div></td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|Name=Nowaczyk, Sławomir <ins class="diffchange diffchange-inline">(</ins>slanow<ins class="diffchange diffchange-inline">) (0000-0002-7796-5201) </ins>(Department of Computer Science, Lund University, Sweden);Malec, Jacek (Department of Computer Science, Lund University, Sweden)</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|Title=Learning to evaluate conditional partial plans</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|Title=Learning to evaluate conditional partial plans</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|PublicationType=Conference Paper</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|PublicationType=Conference Paper</div></td></tr> </table>

Slawek https://mw.hh.se/caisr/index.php?title=Publications:Learning_to_evaluate_conditional_partial_plans&diff=1334&oldid=prev 2014-03-13T11:50:41Z

<p>Created page with &quot;&lt;div style=&#039;display: none&#039;&gt; == Do not edit this section == &lt;/div&gt; {{PublicationSetupTemplate|Author=Sławomir Nowaczyk, Jacek Malec |PID=587664 |Name=Nowaczyk, Sławomir [slan...&quot;</p> <p><b>New page</b></p><div>&lt;div style=&#039;display: none&#039;&gt;<br /> == Do not edit this section ==<br /> &lt;/div&gt;<br /> {{PublicationSetupTemplate|Author=Sławomir Nowaczyk, Jacek Malec<br /> |PID=587664<br /> |Name=Nowaczyk, Sławomir [slanow] (Department of Computer Science, Lund University, Sweden);Malec, Jacek (Department of Computer Science, Lund University, Sweden)<br /> |Title=Learning to evaluate conditional partial plans<br /> |PublicationType=Conference Paper<br /> |ContentType=Refereegranskat<br /> |Language=eng<br /> |Journal=<br /> |JournalISSN=<br /> |Status=<br /> |Volume=<br /> |Issue=<br /> |HostPublication=ICMLA 2007 : Sixth International Conference on Machine Learning and Applications : proceedings : 13-15 Dec. 2007, Cincinnati, Ohio, USA<br /> |Conference=Sixth International Conference on Machine Learning and Applications, 13-15 Dec. 2007, Cincinnati, Ohio, USA<br /> |StartPage=235<br /> |EndPage=240<br /> |Year=2007<br /> |Edition=<br /> |Pages=<br /> |City=Los Alamitos, Calif.<br /> |Publisher=IEEE Computer Society<br /> |Series=<br /> |SeriesISSN=<br /> |ISBN=978-0-7695-3069-7;0-7695-3069-9<br /> |Urls=<br /> |ISRN=<br /> |DOI=http://dx.doi.org/10.1109/ICMLA.2007.101<br /> |ISI=000252793400039<br /> |PMID=<br /> |ScopusId=2-s2.0-47349091660<br /> |NBN=urn:nbn:se:hh:diva-21029<br /> |LocalId=<br /> |ArchiveNumber=<br /> |Keywords=Agents;Artificial intelligence;Boolean functions;Computer programming;Education;Fuzzy logic;Learning systems;Logic programming;Quality control;Robot learning<br /> |Categories=Datavetenskap (datalogi) (10201)<br /> |ResearchSubjects=<br /> |Projects=<br /> |Notes=<br /> |Abstract=&lt;p&gt;We study agents situated in partially observable environments, who do not have sufficient resources to create conformant plans. Instead, they generate plans which are conditional and partial, execute or simulate them, and learn to evaluate their quality from experience. Our agent employs an incomplete symbolic deduction system based on Active Logic and Situation Calculus for reasoning about actions and their consequences. An Inductive Logic Programming algorithm generalises observations and deduced knowledge, allowing the agent to execute a good plan. We show results of using PROGOL learning algorithm to distinguish &quot;bad&quot; plans early in the reasoning process, before too many resources are wasted on considering them. We show that additional knowledge needs to be provided before learning can be successful, but argue that the benefits achieved make it worthwhile. Finally, we identify several assumptions made by PROGOL, shared by other similarly universal algorithms, which are well justified in general, but fail to exploit the properties of the class of problems faced by rational agents.&lt;/p&gt;<br /> |Opponents=<br /> |Supervisors=<br /> |Examiners=<br /> |Patent=<br /> |ThesisLevel=<br /> |Credits=<br /> |Programme=<br /> |Subject=<br /> |Uppsok=<br /> |DefencePlace=<br /> |DefenceLanguage=<br /> |DefenceDate=<br /> |CreatedDate=2013-01-14<br /> |PublicationDate=2013-01-14<br /> |LastUpdated=2013-10-28<br /> |diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&amp;pid=diva2:587664}}<br /> &lt;div style=&#039;display: none&#039;&gt;<br /> <br /> == Keep all hand-made modifications below ==<br /> &lt;/div&gt;{{PublicationDisplayTemplate}}</div>

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