Deliberation scheduling for problem solving in time-constrained environments
We are interested in the problem faced by an agent with limited computational capabilities, embedded in a complex environment with other agents and processes not under its control. Careful management of computational resources is important for complex problem-solving tasks in which the time spent in...
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Veröffentlicht in: | Artificial intelligence 1994-06, Vol.67 (2), p.245-285 |
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container_title | Artificial intelligence |
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creator | Boddy, Mark Dean, Thomas L |
description | We are interested in the problem faced by an agent with limited computational capabilities, embedded in a complex environment with other agents and processes not under its control. Careful management of computational resources is important for complex problem-solving tasks in which the time spent in decision making affects the quality of the responses generated by a system. This paper describes an approach to designing systems that are capable of taking their own computational resources into consideration during planning and problem solving. In particular, we address the design of systems that manage their computational resources by using expectations about the performance of decision-making procedures and preferences over the outcomes resulting from applying those procedures. Our approach is called
deliberation scheduling. Deliberation scheduling involves the explicit allocation of computational resources to decision-making procedures based on the expected effect of those allocations on the system's performance. |
doi_str_mv | 10.1016/0004-3702(94)90054-X |
format | Article |
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deliberation scheduling. Deliberation scheduling involves the explicit allocation of computational resources to decision-making procedures based on the expected effect of those allocations on the system's performance.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Decision support systems</subject><subject>Exact sciences and technology</subject><subject>Learning and adaptive systems</subject><subject>Scheduling</subject><issn>0004-3702</issn><issn>1872-7921</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1994</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LAzEQhoMoWKv_wMMeRPSwms_N5iJI_YSCF4XeQjaZ1chuUpNtwX_v1haPnoYZnvedmRehU4KvCCbVNcaYl0xieqH4pcJY8HKxhyaklrSUipJ9NPlDDtFRzp9jy5QiEzS_g843kMzgYyiy_QC36nx4L9qYimWKTQd9kWO33sx8KAbfQ2ljyEMyPoArIKx9iqGHMORjdNCaLsPJrk7R28P96-ypnL88Ps9u56XlRAwlrVwjrTO14Y5jhkG2lVVCCCKNw1WlmMCSiZoa6WrejDAxtsEMaqFczVo2Redb3_HArxXkQfc-W-g6EyCushaSEUUpHUG-BW2KOSdo9TL53qRvTbDeRKc3uehNLlpx_RudXoyys52_ydZ0bTLB-vyn5YRKwdmI3WwxGH9de0g6Ww_BgvMJ7KBd9P_v-QEeNYMJ</recordid><startdate>19940601</startdate><enddate>19940601</enddate><creator>Boddy, Mark</creator><creator>Dean, Thomas L</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>E3H</scope><scope>F2A</scope></search><sort><creationdate>19940601</creationdate><title>Deliberation scheduling for problem solving in time-constrained environments</title><author>Boddy, Mark ; Dean, Thomas L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c415t-26db7cda8a4d4030e7f6c955517ad066935073582a7d84bdb71acb03e859d83f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1994</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Computer science; control theory; systems</topic><topic>Decision support systems</topic><topic>Exact sciences and technology</topic><topic>Learning and adaptive systems</topic><topic>Scheduling</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Boddy, Mark</creatorcontrib><creatorcontrib>Dean, Thomas L</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Library & Information Sciences Abstracts (LISA)</collection><collection>Library & Information Science Abstracts (LISA)</collection><jtitle>Artificial intelligence</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Boddy, Mark</au><au>Dean, Thomas L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Deliberation scheduling for problem solving in time-constrained environments</atitle><jtitle>Artificial intelligence</jtitle><date>1994-06-01</date><risdate>1994</risdate><volume>67</volume><issue>2</issue><spage>245</spage><epage>285</epage><pages>245-285</pages><issn>0004-3702</issn><eissn>1872-7921</eissn><coden>AINTBB</coden><abstract>We are interested in the problem faced by an agent with limited computational capabilities, embedded in a complex environment with other agents and processes not under its control. Careful management of computational resources is important for complex problem-solving tasks in which the time spent in decision making affects the quality of the responses generated by a system. This paper describes an approach to designing systems that are capable of taking their own computational resources into consideration during planning and problem solving. In particular, we address the design of systems that manage their computational resources by using expectations about the performance of decision-making procedures and preferences over the outcomes resulting from applying those procedures. Our approach is called
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subjects | Applied sciences Artificial intelligence Computer science control theory systems Decision support systems Exact sciences and technology Learning and adaptive systems Scheduling |
title | Deliberation scheduling for problem solving in time-constrained environments |
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