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Posts under ‘Rules Engines’

Requirements for Logical Reasoning

Here is a graphic on how various reasoning technologies fit the practical requirements for reasoning discussed below: This proved surprisingly controversial during correspondence with colleagues from the Vulcan work on SILK and its evolution at http://www.coherentknowledge.com. The requirements that motivated this were the following:

Confessions of a production rule vendor (part 1)

If you are using one of the more popular rules engines, chances are you can blame me.  I popularized the technology of forward-chaining production rules based on the Rete Algorithm.  Others have certainly contributed; my path is the one that led to open-source implementations and many commercial products, including those of IBM, Oracle, SAP, TIBCO, [...]

Answers to Common Questions About AI

Well this is a blast from the past… I was working on “the next post” about how Watson, Google, and the semantic web threaten the major BRMS systems when I found myself rewriting that what matters about Rete Algorithm-based production rule systems is that the order of the rules does not matter.  It occurred to [...]

Financial industry to define standards using defeasible logic and semantic web technologies

Last week, I attended the FIBO (Financial Business Industry Ontology) Technology Summit along with 60 others. The effort is building an ontology of fundamental concepts in the financial services. As part of the effort, there is surprisingly clear understanding that for the resulting representation to be useful, there is a need for logical and rule-based [...]

Background for our Semantic Technology 2013 presentation (part 1)

In the spring of 2012, Vulcan engaged Automata for a knowledge acquisition (KA) experiment.  This article provides background on the context of that experiment and what the results portend for artificial intelligence applications, especially in the areas of education.  Vulcan presented some of the award-winning work referenced here at an AI conference, including a demonstration [...]

Recruiting: IBM Ilog vs. JBoss Drools

I received notice of a Victorian government position offering $106k, as follows, today: BRMS Developer (WebSphere ILOG JRules) You will have proven experience as a BRMS Developer within a Java/JEE environment using IBM‘s WebSphere ILOG JRules platform. You will have implementation experience using integration technologies (e.g. Web Services, JMS) and have the ability to liaise [...]

IBM Ilog JRules for business modeling and rule authoring

If you are considering the use of any of the following business rules management systems (BRMS): IBM Ilog JRules Red Hat JBoss Rules Fair Isaac Blaze Advisor Oracle Policy Automation (i.e., Haley in Siebel, PeopleSoft, etc.) Oracle Business Rules (i.e., a derivative of JESS in Fusion) you can learn a lot by carefully examining this [...]

$50/hr for Ilog work?

I can hardly believe posts like this one in Charlotte requiring 6 years or more of IT.   Two weeks ago I talked with a recruiter looking for consulting-to-hire people with significant Ilog experience at under $100 / hr in the DC area.  Is this what happens when you cross the chasm?  I guess it [...]

Real AI for Games

Dave Mark’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 characters would keep a game [...]

Agile decision services without XML details

Externalizing enterprise decision management using service-oriented architecture orchestrated by business process management makes increases agility and allows continuous performance improvement, but… How do you implement the rules of EDM in an SOA decision service?