Reactive Policies with Planning for Action Languages
We describe a representation in a high-level transition system for policies that express a reactive behavior for the agent. We consider a target decision component that figures out what to do next and an (online) planning capability to compute the plans needed to reach these targets. Our representat...
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| creator | Saribatur, Zeynep G Eiter, Thomas |
| description | We describe a representation in a high-level transition system for policies
that express a reactive behavior for the agent. We consider a target decision
component that figures out what to do next and an (online) planning capability
to compute the plans needed to reach these targets. Our representation allows
one to analyze the flow of executing the given reactive policy, and to
determine whether it works as expected. Additionally, the flexibility of the
representation opens a range of possibilities for designing behaviors. |
| doi_str_mv | 10.48550/arxiv.1603.09495 |
| format | Article |
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that express a reactive behavior for the agent. We consider a target decision
component that figures out what to do next and an (online) planning capability
to compute the plans needed to reach these targets. Our representation allows
one to analyze the flow of executing the given reactive policy, and to
determine whether it works as expected. Additionally, the flexibility of the
representation opens a range of possibilities for designing behaviors.</description><identifier>DOI: 10.48550/arxiv.1603.09495</identifier><language>eng</language><subject>Computer Science - Artificial Intelligence ; Computer Science - Logic in Computer Science</subject><creationdate>2016-03</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,881</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/1603.09495$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.1603.09495$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Saribatur, Zeynep G</creatorcontrib><creatorcontrib>Eiter, Thomas</creatorcontrib><title>Reactive Policies with Planning for Action Languages</title><description>We describe a representation in a high-level transition system for policies
that express a reactive behavior for the agent. We consider a target decision
component that figures out what to do next and an (online) planning capability
to compute the plans needed to reach these targets. Our representation allows
one to analyze the flow of executing the given reactive policy, and to
determine whether it works as expected. Additionally, the flexibility of the
representation opens a range of possibilities for designing behaviors.</description><subject>Computer Science - Artificial Intelligence</subject><subject>Computer Science - Logic in Computer Science</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotzstOwzAQhWFvWKDCA7DCL5AwvtvLqioXKRIV6j4ap-NgKThVUkr79kBhdTa_jj7G7gTU2hsDDzid8rEWFlQNQQdzzfQbYXfIR-Kbcchdppl_5cM73wxYSi49T-PElz_FWHiDpf_EnuYbdpVwmOn2fxds-7jerp6r5vXpZbVsKrTOVDuBJgoBaJQKTnmI0TlvQgc-KSt2UkvwFLyUiaxOQtvoIEWpKVAIJNWC3f_dXtjtfsofOJ3bX3574atv-18-Pg</recordid><startdate>20160331</startdate><enddate>20160331</enddate><creator>Saribatur, Zeynep G</creator><creator>Eiter, Thomas</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20160331</creationdate><title>Reactive Policies with Planning for Action Languages</title><author>Saribatur, Zeynep G ; Eiter, Thomas</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a675-d1a5b110a53397380bb77859c08f361d24208e9822fe64f146b70fb24e9e99e23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Computer Science - Artificial Intelligence</topic><topic>Computer Science - Logic in Computer Science</topic><toplevel>online_resources</toplevel><creatorcontrib>Saribatur, Zeynep G</creatorcontrib><creatorcontrib>Eiter, Thomas</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Saribatur, Zeynep G</au><au>Eiter, Thomas</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reactive Policies with Planning for Action Languages</atitle><date>2016-03-31</date><risdate>2016</risdate><abstract>We describe a representation in a high-level transition system for policies
that express a reactive behavior for the agent. We consider a target decision
component that figures out what to do next and an (online) planning capability
to compute the plans needed to reach these targets. Our representation allows
one to analyze the flow of executing the given reactive policy, and to
determine whether it works as expected. Additionally, the flexibility of the
representation opens a range of possibilities for designing behaviors.</abstract><doi>10.48550/arxiv.1603.09495</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Computer Science - Artificial Intelligence Computer Science - Logic in Computer Science |
| title | Reactive Policies with Planning for Action Languages |
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