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<?xml-stylesheet type="text/xsl" href="../part2stratml.xsl"?><PerformancePlanOrReport><Name>About the CAICG</Name><Description>This community group will address opportunities for cognitive agents using graphs, rules and machine learning, starting with an amalgam of RDF and Property Graphs, together with Web architecture for cognitive databases. More specifically, the Cognitive AI Community Group will work on use cases and requirements, demo's, open source, and scaling experiments. For more details, see introductory slides.</Description><OtherInformation>The real world is frustratingly uncertain, incomplete and inconsistent. This is challenging for traditional approaches to information systems, and a new paradigm is needed that combines symbolic and statistical techniques, building upon decades of work in the cognitive sciences. This will allow us to create cognitive agents that learn and reason based upon prior knowledge and past experience, and which can satisfy the need for, transparency in decision making, and continuous learning for adapting to ever changing needs. </OtherInformation><StrategicPlanCore><Organization><Name>W3C Cognitive AI Community Group</Name><Acronym>CAICG</Acronym><Identifier>_211a8886-33d7-11ea-9607-41172683ea00</Identifier><Description/><Stakeholder StakeholderTypeType="Person"><Name>Dave Raggett</Name><Description>Co-Chair</Description></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Ronald Reck</Name><Description>Co-Chair</Description></Stakeholder><Stakeholder StakeholderTypeType="Generic_Group"><Name>Cognitive AI Community Group Members</Name><Description>Participation is open to all, free of charge. See: https://www.w3.org/community/cogai/</Description></Stakeholder><Stakeholder StakeholderTypeType="Person"><Name>Jason Ament</Name><Description/></Stakeholder></Organization><Vision><Description/><Identifier>_211a8a2a-33d7-11ea-9607-41172683ea00</Identifier></Vision><Mission><Description>To address opportunities for cognitive agents</Description><Identifier>_211a8afc-33d7-11ea-9607-41172683ea00</Identifier></Mission><Value><Name>Learning</Name><Description/></Value><Value><Name>Reasoning</Name><Description/></Value><Value><Name>Knowledge</Name><Description/></Value><Value><Name>Experience</Name><Description/></Value><Value><Name>Transparency</Name><Description/></Value><Value><Name>Adaptation</Name><Description/></Value><Goal><Name>Demonstration</Name><Description>Demonstrate the potential of Cognitive AI</Description><Identifier>_211a8e62-33d7-11ea-9607-41172683ea00</Identifier><SequenceIndicator>1</SequenceIndicator><Stakeholder><Name/><Description/></Stakeholder><OtherInformation/><Objective><Name/><Description/><Identifier>_211a8f52-33d7-11ea-9607-41172683ea00</Identifier><SequenceIndicator/><Stakeholder><Name/><Description/></Stakeholder><OtherInformation/></Objective></Goal><Goal><Name>Use Cases, Requirements &amp; Datasets</Name><Description>Define use cases, requirements and datasets for use in demonstrators</Description><Identifier>_211a9010-33d7-11ea-9607-41172683ea00</Identifier><SequenceIndicator>2</SequenceIndicator><Stakeholder><Name/><Description/></Stakeholder><OtherInformation/><Objective><Name/><Description/><Identifier>_211a90ce-33d7-11ea-9607-41172683ea00</Identifier><SequenceIndicator/><Stakeholder><Name/><Description/></Stakeholder><OtherInformation/></Objective></Goal><Goal><Name>Implementations &amp; Experiments</Name><Description>Develop open source implementations and conduct scaling experiments</Description><Identifier>_211a9182-33d7-11ea-9607-41172683ea00</Identifier><SequenceIndicator>3</SequenceIndicator><Stakeholder><Name/><Description/></Stakeholder><OtherInformation/><Objective><Name/><Description/><Identifier>_211a9236-33d7-11ea-9607-41172683ea00</Identifier><SequenceIndicator/><Stakeholder><Name/><Description/></Stakeholder><OtherInformation/></Objective></Goal><Goal><Name>Applications</Name><Description>Identify application areas</Description><Identifier>_211a92ea-33d7-11ea-9607-41172683ea00</Identifier><SequenceIndicator>4</SequenceIndicator><Stakeholder><Name/><Description/></Stakeholder><OtherInformation/><Objective><Name>Non-Programmers</Name><Description>Help non-programmers work with data</Description><Identifier>_211a939e-33d7-11ea-9607-41172683ea00</Identifier><SequenceIndicator>4.1</SequenceIndicator><Stakeholder StakeholderTypeType="Generic_Group"><Name>Non-Programmers</Name><Description/></Stakeholder><Stakeholder StakeholderTypeType="Organization"><Name>Forester</Name><Description>worth $21B by 2022 according to Forester</Description></Stakeholder><OtherInformation/></Objective><Objective><Name>Customer Services</Name><Description>Cognitive agents in support of customer services</Description><Identifier>_211a9452-33d7-11ea-9607-41172683ea00</Identifier><SequenceIndicator>4.2</SequenceIndicator><Stakeholder StakeholderTypeType="Generic_Group"><Name>Customer Services</Name><Description/></Stakeholder><OtherInformation>worth $5.6B by 2023</OtherInformation></Objective><Objective><Name>Healthcare</Name><Description>Smart chatbots for personal healthcare</Description><Identifier>_211a9506-33d7-11ea-9607-41172683ea00</Identifier><SequenceIndicator>4.3</SequenceIndicator><Stakeholder StakeholderTypeType="Generic_Group"><Name/><Description/></Stakeholder><OtherInformation/></Objective><Objective><Name>AVs</Name><Description>Autonomous vehicles</Description><Identifier>_211a95ba-33d7-11ea-9607-41172683ea00</Identifier><SequenceIndicator>4.4</SequenceIndicator><Stakeholder StakeholderTypeType="Generic_Group"><Name/><Description/></Stakeholder><OtherInformation/></Objective><Objective><Name>Manufacturing</Name><Description>Smart manufacturing</Description><Identifier>_211a9678-33d7-11ea-9607-41172683ea00</Identifier><SequenceIndicator>4.5</SequenceIndicator><Stakeholder StakeholderTypeType="Generic_Group"><Name/><Description/></Stakeholder><OtherInformation/></Objective></Goal><Goal><Name>Outreach</Name><Description>Engage in outreach to explain the huge opportunities for Cognitive AI</Description><Identifier>_211a9736-33d7-11ea-9607-41172683ea00</Identifier><SequenceIndicator>5</SequenceIndicator><Stakeholder><Name/><Description/></Stakeholder><OtherInformation/><Objective><Name/><Description/><Identifier>_211a97f4-33d7-11ea-9607-41172683ea00</Identifier><SequenceIndicator/><Stakeholder><Name/><Description/></Stakeholder><OtherInformation/></Objective></Goal></StrategicPlanCore><AdministrativeInformation><StartDate>2020-01-10</StartDate><EndDate/><PublicationDate>2020-01-10</PublicationDate><Source>https://www.w3.org/Data/demos/chunks/chunks-20200110.pdf</Source><Submitter><GivenName>Owen</GivenName><Surname>Ambur</Surname><PhoneNumber/><EmailAddress>Owen.Ambur@verizon.net</EmailAddress></Submitter></AdministrativeInformation></PerformancePlanOrReport>
