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<channel>
	<title>Commercial Intelligence</title>
	<link>http://haleyai.com/wordpress</link>
	<description>systems that know and understand and think and learn</description>
	<pubDate>Wed, 25 Jun 2008 20:21:27 +0000</pubDate>
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	<language>en</language>
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		<title>Zigtag for social semantic tagging</title>
		<link>http://feedproxy.google.com/~r/CommercialIntelligence/~3/3vsvTJhgbqM/</link>
		<comments>http://haleyai.com/wordpress/2008/06/25/if-you-tag-like-me-zigtag-is-it/#comments</comments>
		<pubDate>Wed, 25 Jun 2008 19:24:20 +0000</pubDate>
		<dc:creator>paul@haleyAI.com</dc:creator>
		
		<category><![CDATA[Ontology]]></category>

		<category><![CDATA[Social Networks]]></category>

		<category><![CDATA[semantic web]]></category>

		<guid isPermaLink="false">http://haleyai.com/wordpress/2008/06/25/if-you-tag-like-me-zigtag-is-it/</guid>
		<description><![CDATA[Copyright © 2009 by Automata, Inc.
I started to use Radar Networks’ Twine at the invitation of CEO Nova Spivak after writing this earlier this year (also see this). I enjoyed it for a while, especially because a lot of technology folks were hooking up with each other, especially the semantic web community, on Twine. But [...]]]></description>
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		<item>
		<title>Probabilities are Better than Scores</title>
		<link>http://feedproxy.google.com/~r/CommercialIntelligence/~3/3uHTN13_w6Q/</link>
		<comments>http://haleyai.com/wordpress/2008/05/08/probabilities-are-better-than-scores/#comments</comments>
		<pubDate>Thu, 08 May 2008 17:24:25 +0000</pubDate>
		<dc:creator>paul@haleyAI.com</dc:creator>
		
		<category><![CDATA[Decision Management]]></category>

		<category><![CDATA[predictive analytics]]></category>

		<guid isPermaLink="false">http://haleyai.com/wordpress/2008/05/08/probabilities-are-better-than-scores/</guid>
		<description><![CDATA[Copyright © 2009 by Automata, Inc.During a panel at Fair Isaac&#8217;s Interact conference last week, a banker from Abbey National in the UK suggested that part of the credit crunch was due to the use of the FICO score.  Unlike other panelists, who were former Fair Isaac employees, this gentleman was formerly of Experian!  So [...]]]></description>
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		<feedburner:origLink>http://haleyai.com/wordpress/2008/05/08/probabilities-are-better-than-scores/</feedburner:origLink></item>
		<item>
		<title>Super Crunchers:  predictive analytics is not enough</title>
		<link>http://feedproxy.google.com/~r/CommercialIntelligence/~3/rHislxiYvSw/</link>
		<comments>http://haleyai.com/wordpress/2008/04/29/super-crunchers-predictive-analytics-is-not-enough/#comments</comments>
		<pubDate>Tue, 29 Apr 2008 22:23:04 +0000</pubDate>
		<dc:creator>paul@haleyAI.com</dc:creator>
		
		<category><![CDATA[Decision Management]]></category>

		<category><![CDATA[Learning]]></category>

		<category><![CDATA[business intelligence]]></category>

		<category><![CDATA[predictive analytics]]></category>

		<category><![CDATA[Super Crunchers:  Prediction versus Adaptation in Decis]]></category>

		<guid isPermaLink="false">http://haleyai.com/wordpress/2008/04/29/super-crunchers-predictive-analytics-is-not-enough/</guid>
		<description><![CDATA[Copyright © 2009 by Automata, Inc.Ian Ayres, the author of Super Crunchers, gave a keynote at Fair Isaac&#8217;s Interact conference in San Francisco this morning.   He made a number of interesting points related to his thesis that intuitive decision making is doomed.   I found his points on random trials much more interesting, however.
In one of [...]]]></description>
		<wfw:commentRss>http://haleyai.com/wordpress/2008/04/29/super-crunchers-predictive-analytics-is-not-enough/feed/</wfw:commentRss>
		<feedburner:origLink>http://haleyai.com/wordpress/2008/04/29/super-crunchers-predictive-analytics-is-not-enough/</feedburner:origLink></item>
		<item>
		<title>A Common Upper Ontology for Advanced Placement tests</title>
		<link>http://feedproxy.google.com/~r/CommercialIntelligence/~3/1z0Doc3PpQE/</link>
		<comments>http://haleyai.com/wordpress/2008/04/18/a-common-upper-ontology-for-advanced-placement-tests/#comments</comments>
		<pubDate>Fri, 18 Apr 2008 13:53:35 +0000</pubDate>
		<dc:creator>paul@haleyAI.com</dc:creator>
		
		<category><![CDATA[Ontology]]></category>

		<category><![CDATA[semantic web]]></category>

		<category><![CDATA[advanced placement]]></category>

		<category><![CDATA[arithmetic]]></category>

		<category><![CDATA[fraction]]></category>

		<category><![CDATA[geometry]]></category>

		<category><![CDATA[Halo Project]]></category>

		<category><![CDATA[irrational number]]></category>

		<category><![CDATA[mathematics]]></category>

		<category><![CDATA[physics AP]]></category>

		<category><![CDATA[Protege]]></category>

		<category><![CDATA[ratio]]></category>

		<category><![CDATA[rational number]]></category>

		<category><![CDATA[SI units]]></category>

		<category><![CDATA[Vulcan]]></category>

		<guid isPermaLink="false">http://haleyai.com/wordpress/2008/04/18/a-common-upper-ontology-for-advanced-placement-tests/</guid>
		<description><![CDATA[Copyright © 2009 by Automata, Inc.I have previously written about the lack of a common upper ontology in the semantic web and commercial software markets (e.g., business rules).  For example, the lack of understanding of time limits the intelligence and ease of use of software in business process management (BPM) and complex event processing (CEP). [...]]]></description>
		<wfw:commentRss>http://haleyai.com/wordpress/2008/04/18/a-common-upper-ontology-for-advanced-placement-tests/feed/</wfw:commentRss>
		<feedburner:origLink>http://haleyai.com/wordpress/2008/04/18/a-common-upper-ontology-for-advanced-placement-tests/</feedburner:origLink></item>
		<item>
		<title>Real AI for Games</title>
		<link>http://feedproxy.google.com/~r/CommercialIntelligence/~3/O2ql-smH07Y/</link>
		<comments>http://haleyai.com/wordpress/2008/04/16/real-ai-for-games/#comments</comments>
		<pubDate>Wed, 16 Apr 2008 18:25:08 +0000</pubDate>
		<dc:creator>paul@haleyAI.com</dc:creator>
		
		<category><![CDATA[Cognitive Agents]]></category>

		<category><![CDATA[Games]]></category>

		<category><![CDATA[Rules Engines]]></category>

		<category><![CDATA[robotics]]></category>

		<category><![CDATA[AI middleware]]></category>

		<category><![CDATA[AI-Implant]]></category>

		<category><![CDATA[air force]]></category>

		<category><![CDATA[Assassins Creed]]></category>

		<category><![CDATA[Autodesk]]></category>

		<category><![CDATA[avatars]]></category>

		<category><![CDATA[BigDog]]></category>

		<category><![CDATA[Boston Dynamics]]></category>

		<category><![CDATA[Chi Systems]]></category>

		<category><![CDATA[cognitive modeling]]></category>

		<category><![CDATA[DI-Guy]]></category>

		<category><![CDATA[Emergent Game Technologies]]></category>

		<category><![CDATA[emotion]]></category>

		<category><![CDATA[game AI]]></category>

		<category><![CDATA[Gamebryo]]></category>

		<category><![CDATA[GostAI]]></category>

		<category><![CDATA[Halo]]></category>

		<category><![CDATA[hierarchical task networks]]></category>

		<category><![CDATA[iGen]]></category>

		<category><![CDATA[Jupiter]]></category>

		<category><![CDATA[Kynogon]]></category>

		<category><![CDATA[MA&amp;D]]></category>

		<category><![CDATA[Micro Analysis &amp; Design]]></category>

		<category><![CDATA[Microsoft Robotics]]></category>

		<category><![CDATA[mybase]]></category>

		<category><![CDATA[non-player characters]]></category>

		<category><![CDATA[NPC]]></category>

		<category><![CDATA[Playstation]]></category>

		<category><![CDATA[Presagis]]></category>

		<category><![CDATA[role-playing games]]></category>

		<category><![CDATA[RPG]]></category>

		<category><![CDATA[SimBionic]]></category>

		<category><![CDATA[Soar]]></category>

		<category><![CDATA[Soar Technology]]></category>

		<category><![CDATA[SOF]]></category>

		<category><![CDATA[special operations forces]]></category>

		<category><![CDATA[Stottler Henke]]></category>

		<category><![CDATA[synthetic humans]]></category>

		<category><![CDATA[Touchdown Entertainment]]></category>

		<category><![CDATA[URBI]]></category>

		<category><![CDATA[Xbox]]></category>

		<guid isPermaLink="false">http://haleyai.com/wordpress/2008/04/16/real-ai-for-games/</guid>
		<description><![CDATA[Copyright © 2009 by Automata, Inc.Dave Mark&#8217;s post on Why Not More Simulation in Game AI? and the comments it elicited are right on the money about the correlation between lifespan and intelligence of supposedly intelligent adversaries in first person shooter (FPS) games.  It is extremely refreshing to hear advanced gamers agreeing that more intelligent, longer-lived [...]]]></description>
		<wfw:commentRss>http://haleyai.com/wordpress/2008/04/16/real-ai-for-games/feed/</wfw:commentRss>
		<feedburner:origLink>http://haleyai.com/wordpress/2008/04/16/real-ai-for-games/</feedburner:origLink></item>
		<item>
		<title>The Semantic Arms Race: Facebook vs. Google</title>
		<link>http://feedproxy.google.com/~r/CommercialIntelligence/~3/cCcu0NJ1j_8/</link>
		<comments>http://haleyai.com/wordpress/2008/04/16/the-semantic-arms-race-facebook-vs-google/#comments</comments>
		<pubDate>Wed, 16 Apr 2008 15:44:46 +0000</pubDate>
		<dc:creator>paul@haleyAI.com</dc:creator>
		
		<category><![CDATA[Natural Language]]></category>

		<category><![CDATA[semantic web]]></category>

		<category><![CDATA[artificial intelligence]]></category>

		<category><![CDATA[Calais]]></category>

		<category><![CDATA[ClearForest]]></category>

		<category><![CDATA[Facebook]]></category>

		<category><![CDATA[Freebase]]></category>

		<category><![CDATA[Google]]></category>

		<category><![CDATA[linked data]]></category>

		<category><![CDATA[Microsoft]]></category>

		<category><![CDATA[Nova Spivak]]></category>

		<category><![CDATA[Open Social]]></category>

		<category><![CDATA[Powerset]]></category>

		<category><![CDATA[Radar Networks]]></category>

		<category><![CDATA[RDF]]></category>

		<category><![CDATA[Reuters]]></category>

		<category><![CDATA[social bookmarking]]></category>

		<category><![CDATA[social networking]]></category>

		<category><![CDATA[Tabulator]]></category>

		<category><![CDATA[Twine]]></category>

		<category><![CDATA[Web 3.0]]></category>

		<category><![CDATA[Web 4.0]]></category>

		<guid isPermaLink="false">http://haleyai.com/wordpress/2008/04/16/the-semantic-arms-race-facebook-vs-google/</guid>
		<description><![CDATA[Copyright © 2009 by Automata, Inc.As I discussed in Over $100m in 12 months backs natural language for the semantic web, Radar Networks&#8217; Twine is one of the more interesting semantic web startups.  Their founder, Nova Spivak, is funded by Vulcan and others to provide &#8220;interest-driven [social] networking&#8221;.  I&#8217;ve been participating in the beta program [...]]]></description>
		<wfw:commentRss>http://haleyai.com/wordpress/2008/04/16/the-semantic-arms-race-facebook-vs-google/feed/</wfw:commentRss>
		<feedburner:origLink>http://haleyai.com/wordpress/2008/04/16/the-semantic-arms-race-facebook-vs-google/</feedburner:origLink></item>
		<item>
		<title>Adaptive Decision Management</title>
		<link>http://feedproxy.google.com/~r/CommercialIntelligence/~3/gxbpzMT-hHo/</link>
		<comments>http://haleyai.com/wordpress/2008/04/15/adaptive-decision-management-for-business-performance-management/#comments</comments>
		<pubDate>Tue, 15 Apr 2008 19:00:31 +0000</pubDate>
		<dc:creator>paul@haleyAI.com</dc:creator>
		
		<category><![CDATA[Business Process Management]]></category>

		<category><![CDATA[Business Rules Management]]></category>

		<category><![CDATA[Decision Management]]></category>

		<category><![CDATA[Learning]]></category>

		<category><![CDATA[business intelligence]]></category>

		<category><![CDATA[predictive analytics]]></category>

		<guid isPermaLink="false">http://haleyai.com/wordpress/2008/04/15/adaptive-decision-management-for-business-performance-management/</guid>
		<description><![CDATA[Copyright © 2009 by Automata, Inc.
In this article I hope you learn the future of predictive analytics in decision management and how tighter integration between rules and learning are being developed that will  adaptively improve diagnostic capabilities, especially in maximizing profitability and detecting adversarial conduct, such as fraud, money laundering and terrorism.
Business Intelligence

Visualizing business performance [...]]]></description>
		<wfw:commentRss>http://haleyai.com/wordpress/2008/04/15/adaptive-decision-management-for-business-performance-management/feed/</wfw:commentRss>
		<feedburner:origLink>http://haleyai.com/wordpress/2008/04/15/adaptive-decision-management-for-business-performance-management/</feedburner:origLink></item>
		<item>
		<title>Cyc is more than encyclopedic</title>
		<link>http://feedproxy.google.com/~r/CommercialIntelligence/~3/bwa5IcOc0Y4/</link>
		<comments>http://haleyai.com/wordpress/2008/04/03/cyc-is-more-than-encyclopedic/#comments</comments>
		<pubDate>Thu, 03 Apr 2008 22:02:26 +0000</pubDate>
		<dc:creator>paul@haleyAI.com</dc:creator>
		
		<category><![CDATA[Formal Logic]]></category>

		<category><![CDATA[Natural Language]]></category>

		<category><![CDATA[Ontology]]></category>

		<category><![CDATA[ART]]></category>

		<category><![CDATA[assumptive truth maintenance system]]></category>

		<category><![CDATA[ATMS]]></category>

		<category><![CDATA[context]]></category>

		<category><![CDATA[Cyc]]></category>

		<category><![CDATA[Doug Lenat]]></category>

		<category><![CDATA[first order logic]]></category>

		<category><![CDATA[Haley]]></category>

		<category><![CDATA[hypothetical reasoning]]></category>

		<category><![CDATA[Inference Corporation]]></category>

		<category><![CDATA[microtheories]]></category>

		<category><![CDATA[natural language processing]]></category>

		<category><![CDATA[NLP]]></category>

		<category><![CDATA[RIF]]></category>

		<category><![CDATA[semantic web]]></category>

		<guid isPermaLink="false">http://haleyai.com/wordpress/2008/04/03/cyc-is-more-than-encyclopedic/</guid>
		<description><![CDATA[Copyright © 2009 by Automata, Inc.I had the pleasure of visiting with some fine folks at Cycorp in Austin, Texas recently.  Cycorp is interesting for many reasons, but chiefly because they have expended more effort developing a deeper model of common world knowledge than any other group on the planet.  They are different from current [...]]]></description>
		<wfw:commentRss>http://haleyai.com/wordpress/2008/04/03/cyc-is-more-than-encyclopedic/feed/</wfw:commentRss>
		<feedburner:origLink>http://haleyai.com/wordpress/2008/04/03/cyc-is-more-than-encyclopedic/</feedburner:origLink></item>
		<item>
		<title>Harvesting business rules from the IRS</title>
		<link>http://feedproxy.google.com/~r/CommercialIntelligence/~3/iQwWaumpg3E/</link>
		<comments>http://haleyai.com/wordpress/2008/03/28/harvesting-business-rules-from-the-irs/#comments</comments>
		<pubDate>Fri, 28 Mar 2008 15:36:03 +0000</pubDate>
		<dc:creator>paul@haleyAI.com</dc:creator>
		
		<category><![CDATA[Business Rules Management]]></category>

		<category><![CDATA[Knowledge Engineering]]></category>

		<category><![CDATA[Knowledge Management]]></category>

		<category><![CDATA[Methodology]]></category>

		<category><![CDATA[Natural Language]]></category>

		<category><![CDATA[Requirements]]></category>

		<category><![CDATA[adjusted gross income]]></category>

		<category><![CDATA[Authority]]></category>

		<category><![CDATA[BRMS]]></category>

		<category><![CDATA[earned income]]></category>

		<category><![CDATA[EIC]]></category>

		<category><![CDATA[eligibility]]></category>

		<category><![CDATA[Haley]]></category>

		<category><![CDATA[IRS]]></category>

		<category><![CDATA[IRS business rules]]></category>

		<category><![CDATA[Natural language business rules]]></category>

		<category><![CDATA[necessary conditions]]></category>

		<category><![CDATA[qualification]]></category>

		<category><![CDATA[rule harvesting]]></category>

		<category><![CDATA[rules training]]></category>

		<category><![CDATA[rules tutorial]]></category>

		<category><![CDATA[sufficient conditions]]></category>

		<guid isPermaLink="false">http://haleyai.com/wordpress/2008/03/28/harvesting-business-rules-from-the-irs/</guid>
		<description><![CDATA[Copyright © 2009 by Automata, Inc.Does your business have logic that is more or less complicated than filing your taxes?
Most business logic is at least as complicated.  But most business rule metaphors are not up to expressing tax regulations in a simple manner.  Nonetheless, the tax regulations are full of great training material for learning [...]]]></description>
		<wfw:commentRss>http://haleyai.com/wordpress/2008/03/28/harvesting-business-rules-from-the-irs/feed/</wfw:commentRss>
		<feedburner:origLink>http://haleyai.com/wordpress/2008/03/28/harvesting-business-rules-from-the-irs/</feedburner:origLink></item>
		<item>
		<title>Agile decision services without XML details</title>
		<link>http://feedproxy.google.com/~r/CommercialIntelligence/~3/ZD4LfaGhNfs/</link>
		<comments>http://haleyai.com/wordpress/2008/03/26/agile-governance-and-decisions-using-soa-without-xml-details/#comments</comments>
		<pubDate>Wed, 26 Mar 2008 16:02:50 +0000</pubDate>
		<dc:creator>paul@haleyAI.com</dc:creator>
		
		<category><![CDATA[Compliant Governance]]></category>

		<category><![CDATA[Decision Management]]></category>

		<category><![CDATA[Knowledge Management]]></category>

		<category><![CDATA[Ontology]]></category>

		<category><![CDATA[Rules Engines]]></category>

		<category><![CDATA[ACORD]]></category>

		<category><![CDATA[Blaze Advisor]]></category>

		<category><![CDATA[BPM]]></category>

		<category><![CDATA[Business Process Management]]></category>

		<category><![CDATA[Business Rules Management]]></category>

		<category><![CDATA[CLIPS]]></category>

		<category><![CDATA[decision service]]></category>

		<category><![CDATA[DOM]]></category>

		<category><![CDATA[Drools]]></category>

		<category><![CDATA[EDM]]></category>

		<category><![CDATA[enterprise decision management]]></category>

		<category><![CDATA[governance]]></category>

		<category><![CDATA[GRC]]></category>

		<category><![CDATA[Haley]]></category>

		<category><![CDATA[Ilog]]></category>

		<category><![CDATA[insurance]]></category>

		<category><![CDATA[JBOSS Rules]]></category>

		<category><![CDATA[JESS]]></category>

		<category><![CDATA[Prolog]]></category>

		<category><![CDATA[semantics]]></category>

		<category><![CDATA[SOA]]></category>

		<category><![CDATA[web service]]></category>

		<category><![CDATA[WSDL]]></category>

		<category><![CDATA[XPATH]]></category>

		<category><![CDATA[XSB]]></category>

		<category><![CDATA[XSD]]></category>

		<guid isPermaLink="false">http://haleyai.com/wordpress/2008/03/26/agile-governance-and-decisions-using-soa-without-xml-details/</guid>
		<description><![CDATA[Copyright © 2009 by Automata, Inc.Externalizing enterprise decision management using service-oriented architecture orchestrated by business process management makes increases agility and allows continuous performance improvement, but&#8230;
How do you implement the rules of EDM in an SOA decision service? 

]]></description>
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