Red Hat
Jun 26, 2017
by Mark Proctor
RuleMLWeb Rules and Reasoning as well as DecisionCamp are all coming together (as well as being collocated with BICOD) this year in London.
RuleML+RR home, schedule, registration
DecisionCamp home, schedule, registration

Explore that latest AI happenings at RuleML+RR and keep up to date with the latest Decision Model and Notation (DMN) at Decision Camp.

When: July 12-14 2017
Where: Birkbeck, University of London, London, UK
Malet St, London WC1E 7HX, UK

A number of Red Hat Engineers will be there and presenting:
Mark Proctor - Drools co-founder, BRMS and BPMS Platform Architect:
Edson Tirelli - Drools project lead: DMN Technology Compatibility Kit (TCK), Demystifying the Decision Model and Notation Specification
Geoffrey De Smet - OptaPlanner founder, project lead: Real-time Constraint Solving with OptaPlanner

DecisionCamp:
"DecisionCAMP-2017 will include presentations from leading decision management authorities, vendors, and practitioners. The event will explore the current state in Decision Management, the real-world use of the DMN standard, and solutions to various business problems using Decision Management  tools and capabilities. The event will include a special Open Discussion “What you Like and What you Do Not Like about DMN” and a QnA Panel “Real-world Business Decision Management: Vendor and Practitioner Perspectives”.

RuleML+RR:
"2017 is the leading international joint conference in the field of rule-based reasoning, and focuses on theoretical advances, novel technologies, as well as innovative applications concerning knowledge representation and reasoning with rules."

Keynotes and Speeches:
Bob Kowalski (Imperial College London): Logic and AI – The Last 50 Years
Stephen Muggleton (Imperial College London): Meta-Interpretive Learning: Achievements and Challenges
Jordi Cabot (IN3-UOC, Barcelona): The Secret Life of Rules in Software Engineering (sponsored by EurAI)
Jean-Francois Puget (IBM): Machine Learning and Decision Optimization
Elena Baralis (Politecnico di Torino): Opening the Black Box: Deriving Rules from Data


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