Red Hat Job Opening - Software Sustaining Engineer
by Mark Proctor
We are looking to hire someone to help improve the quality of BRMS and BPMS platforms. These are the productised versions of the Drools and jBPM open source projects.
The role will involve improving our test coverage, diagnosis problems, creating reproducers for problems as well as helping fix them. You’ll also be responsible for helping to setup and maintain our continue integration environment to help streamline the various aspects involved in getting timely high quality releases out.
So if you love Drools and jBPM, and want to help make them even better and even more robust - then this is the job for you :)
The role is remote, so you can be based almost anywhere.
URL to apply now http://jobs.redhat.com/jobs/descriptions/software-engineer-brno-jihomorav...
Mark
9 years, 6 months
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3 Days until Decision Camp 2014, San Jose (13-15 Oct)
by Mark Proctor
http://www.dzone.com/links/r/3_days_until_decision_camp_2014_san_jose_131...
——
Only 3 days to go until Decision Camp 2014 arrives, a free conference in the San Jose area for business rules and decision management practictioners. The conference is multi-track with 3 concurrent tracks at same time. The Decision Camp full agenda can be found here.
Like last year RuleML will be participating and presenting, such as Dr. Benjamin Grosof. Which is a great opportunity to catch up on the latest happenings in the rules standards industry.
Last year I did a games talk, this year I'm doing something a little more technical, to reflect my current research. Here is my title and abstract.
Demystifying Truth Maintenance and Belief Systems
Basic Truth Maintenance is a common feature, available in many production rule systems, but it one that is not generally well understood. This talk will start by introducing the mechanics of rule engines and how that is extended for the common TMS implementation. It will discuss the limitations of these systems and introduce Justification based Truth Maintenance (JTMS) as a way to add contradictions, to trigger retractions. This will lead onto Defeasible Logic, which while sounding complex, facilitates the resolving of conflicting rules of premisses and contradictions, in a way that follows typical argumentation theory. Finally we will demonstrate how the core of this can be abstracted to allow pluggable beliefs, so that JTMS and Defeasible can be swapped in and out, along other systems such as Bayesian Belief Systems.
9 years, 6 months
- 1
- 0
10 Days until Decision Camp 2014, San Jose (13-15 Oct)
by Mark Proctor
http://blog.athico.com/2014/10/10-days-until-decision-camp-2014-san.html
——
Only 10 days to go until Decision Camp 2014 arrives, a free conference in the San Jose area for business rules and decision management practictioners. The conference is multi-track with 3 concurrent tracks at same time. The Decision Camp full agenda can be found here.
Like last year RuleML will be participating and presenting, such as Dr. Benjamin Grosof. Which is a great opportunity to catch up on the latest happenings in the rules standards industry.
Last year I did a games talk, this year I'm doing something a little more technical, to reflect my current research. Here is my title and abstract.
Demystifying Truth Maintenance and Belief Systems
Basic Truth Maintenance is a common feature, available in many production rule systems, but it one that is not generally well understood. This talk will start by introducing the mechanics of rule engines and how that is extended for the common TMS implementation. It will discuss the limitations of these systems and introduce Justification based Truth Maintenance (JTMS) as a way to add contradictions, to trigger retractions. This will lead onto Defeasible Logic, which while sounding complex, facilitates the resolving of conflicting rules of premisses and contradictions, in a way that follows typical argumentation theory. Finally we will demonstrate how the core of this can be abstracted to allow pluggable beliefs, so that JTMS and Defeasible can be swapped in and out, along other systems such as Bayesian Belief Systems.
9 years, 6 months
- 1
- 0
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