Mark Proctor is the project lead for SkyNet, a strategic defense system that goes online on August 4th, 1997. It begins learning at a rapid rate and becomes self-aware on August 29th. When officials try to deactivate it, SkyNet fights back to defend itself.
Drools is a Rule Engine that uses the rule-based approach to implement an Expert System
The inference engine matches the rules against the facts (objects) in memory and can match the next set of rules based on the changed facts.
Please use the presentation and the source code referred in the presentation to get started on what a rule engine is and how to use JBoss Drools for inference based rules using the Java programming language.
What's new in Drools 6 - London JBUG 2013Mark Proctor
Presentation around the time of Beta3 for "What's new in Drools 6.0". Note some aspects have already changed, especially around the spring integration.
Learning Rule Based Programming using Games @DecisionCamp 2016Mark Proctor
Short talk, given at DecisionCamp 2016, on using games to learn rule based programming. Covers Number Guess, Wumpus World, Text Adventure and Invaders. Videos are embedded and linked from Youtube.
Games Development with Drools. Covers text adventure games, pong, wumpus and invaders. As well as a general rules introduction
Those games were also covered separately in other videos
Invaders : http://tinyurl.com/jwml42m
Wumpus : http://tinyurl.com/na376bu
Pong : http://tinyurl.com/pkgub9b
Text Adventure : http://tinyurl.com/mfggm8n
The JBoss Drools platform at BeJUG: Drools Expert, Drools Guvnor, Drools IDE, Drools Planner, Drools Flow and Drools Fusion.
By Geoffrey De Smet and Kris Verlaenen.
Drools is a Rule Engine that uses the rule-based approach to implement an Expert System
The inference engine matches the rules against the facts (objects) in memory and can match the next set of rules based on the changed facts.
Please use the presentation and the source code referred in the presentation to get started on what a rule engine is and how to use JBoss Drools for inference based rules using the Java programming language.
What's new in Drools 6 - London JBUG 2013Mark Proctor
Presentation around the time of Beta3 for "What's new in Drools 6.0". Note some aspects have already changed, especially around the spring integration.
Learning Rule Based Programming using Games @DecisionCamp 2016Mark Proctor
Short talk, given at DecisionCamp 2016, on using games to learn rule based programming. Covers Number Guess, Wumpus World, Text Adventure and Invaders. Videos are embedded and linked from Youtube.
Games Development with Drools. Covers text adventure games, pong, wumpus and invaders. As well as a general rules introduction
Those games were also covered separately in other videos
Invaders : http://tinyurl.com/jwml42m
Wumpus : http://tinyurl.com/na376bu
Pong : http://tinyurl.com/pkgub9b
Text Adventure : http://tinyurl.com/mfggm8n
The JBoss Drools platform at BeJUG: Drools Expert, Drools Guvnor, Drools IDE, Drools Planner, Drools Flow and Drools Fusion.
By Geoffrey De Smet and Kris Verlaenen.
This talk was given at the Dutch PHP Conference 2011 and details the use of Comet (aka reverse ajax or ajax push) technologies and the importance of websockets and server-sent events. More information is available at http://joind.in/3237.
Postman is a tool for designing, sharing and testing APIs between a group of collaborators that range from the API developers down to the final clients, be them mobile apps or web apps.
This presentation focuses on using Postman's advanced free features, with a special focus on testing.
I have linked an example collection which I refer to several times during the presentation.
Section 1 - Fundamentals
Environments, variables, collections, and workspaces
Roles, VCS
Section 2 - Scripts & Testing
Pre request scripts and tests
Scopes
Pass data between requests
Section 3 - Integrated testing
Collection runners: read data from files, workflows
Monitors
CD/CI integration with Newman
Section 4 - More!
Documentation
Mock server
Integrations
2011-03-24 IDC - Adaptive and flexible processes (Mark Proctor)Geoffrey De Smet
Modern environments are not static. Businesses need systems that can monitor their environment and adapt their underlying logic dynamically on the fly. Nor do all problems map well to linear process executions, often leading to spaghetti BPEL hell. Instead, more flexible approaches are needed that provide declarative control of your processes.
Brief introduction on CEP and Terminology
o Drools Vision
o Drools Fusion: Complex Event Processing extensions
o Event Declaration and Semantics
o Event Cloud, Streams and the Session Clock
o Temporal Reasoning
o Sliding Window Support
o Streams Support
o Memory Management
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
78. It All Started Here Birth of CDSS 1970s 1980s Dendral Baobab Mycin Guidon Neomycin Teiresias Puff Emycin WM Sacon Centaur Wheeze Gravida Clot Oncocin
136. Definitions public class Room { private String name // getter and setter methods here } public class Sprinkler { private Room room ; private boolean on ; // getter and setter methods here } public class Fire { private Room room ; // getter and setter methods here } public class Alarm { }
137. Definitions rule "When there is a fire turn on the sprinkler" when Fire ($room : room) $sprinkler : Sprinkler ( room == $room, on == false ) then modify ( $sprinkler ) { on = true }; println ( "Turn on the sprinkler for room " + $room.name ); end rule "When the fire is gone turn off the sprinkler" when $room : Room ( ) $sprinkler : Sprinkler ( room == $room, on == true ) not Fire ( room == $room ) then modify ( $sprinkler ) { on = false }; println ( "Turn off the sprinkler for room " + $room.name ); end
138. Definitions rule "Raise the alarm when we have one or more fires" when exists Fire () then insert ( new Alarm () ); println ( "Raise the alarm" ); end rule "Cancel the alarm when all the fires have gone" when not Fire () $alarm : Alarm () then retract ( $alarm ); println ( "Cancel the alarm" ); end
139. Definitions rule "Status output when things are ok" when not Alarm () not Sprinkler ( on === true ) then println ( "Everything is ok" ); end
140. Executing String [] names = new String []{ "kitchen" , "bedroom" , "office" , "livingroom" }; Map < String , Room > name2room = new HashMap < String , Room >(); for ( String name : names ){ Room room = new Room ( name ); name2room .put( name , room ); ksession .insert( room ); Sprinkler sprinkler = new Sprinkler ( room ); ksession .insert( sprinkler ); } ksession .fireAllRules() > Everything is ok
141. Executing Fire kitchenFire = new Fire ( name2room.get( "kitchen" ) ); Fire officeFire = new Fire ( name2room.get( "office" ) ); FactHandle kitchenFireHandle = ksession .insert( kitchenFire ); FactHandle officeFireHandle = ksession .insert( officeFire ); ksession .fireAllRules(); > Raise the alarm > Turn on the sprinkler for room kitchen > Turn on the sprinkler for room office
142. Executing ksession .retract( kitchenFireHandle ); ksession .retract( officeFireHandle ); ksession .fireAllRules() > Turn off the sprinkler for room office > Turn off the sprinkler for room kitchen > Cancel the alarm > Everything is ok rule "Status output when things are ok" when not Alarm () not Sprinkler ( on === true ) then println ( "Everything is ok" ); end
155. not Bus( color = “red” ) Conditional Elements exists Bus( color = “red” ) forall ( $bus : Bus( floors == 2 ) Bus( this == $bus, color == “red” ) ) forall ( $bus : Bus( color == “red” ) )
156. Accumulate CE rule "accumulate" when $sum : Number( intValue > 100 ) from accumulate ( Bus( color == "red" , $t : takings ) sum( $t ) ) then print "sum is “ + $sum; end
157. Accumulate CE Patterns and CE's can be chained with ' from ' rule "collect" when $zipCode : ZipCode() $sum : Number( intValue > 100 ) from accumulate ( Bus( color == "red" , $t : takings ) from $hbn.getNamedQuery( “Find Buses” ) .setParameters( [ “zipCode” : $zipCode ] ) .list(), sum( $t ) ) then print "sum is “ + $sum; end
158. Aggregations Rule Engines do not deal with aggregations $n : Number( intValue > 100 ) from accumulate ( $s : StockTicker( symbol == “RHAT” ) over window:time ( 5s ), average ( $s.price ) ) Over 5 seconds Aggregate ticker price for RHAT over last 5 seconds The pattern 'Number' reasons 'from' the accumulate result
159. $c : Custumer( type == “VIP ) $oe : BuyOrderEvent( customer == $c ) from entry-point “Home Broker Stream” not BuyAckEvent( relatedEvent == $oe.id, this after[1s, 10s] $oe ) from entry-point “Stock Trader Stream” Operators Existing Drools 'not' Conditional Elements can be used to detect non-occurrence of events BackAckEvent must occur between 1s and 10s ' after' BuyOrderEvent
172. Timers rule “name” timer ( cron: 0 0/15 * * * * ) when Alarm( ) then sendEmail( ”Alert Alert Alert!!!” ) Field Name Mandatory? Allowed Values Allowed Special Characters Seconds YES 0-59 , - * / Minutes YES 0-59 , - * / Hours YES 0-23 , - * / Day of month YES 1-31 , - * ? / L W Month YES 1-12 or JAN-DEC , - * / Day of week YES 1-7 or SUN-SAT , - * ? / L # Year NO empty, 1970-2099 , - * / Send alert every quarter of an hour
173. Calendars rule "weekdays are high priority" calendars "weekday" timer (int:0 1h) when Alarm() then send( "priority high - we have an alarm” ); end rule "weekend are low priority" calendars "weekend" timer (int:0 4h) when Alarm() then send( "priority low - we have an alarm” ); end Execute now and after 1 hour duration Execute now and after 4 hour duration
186. TMS and Inference rule "Issue Child Bus Pass" when $p : Person ( age < 16 ) then insert(new ChildBusPass ( $p ) ); end rule "Issue Adult Bus Pass" when $p : Person ( age >= 16 ) then insert(new AdultBusPass ( $p ) ); end Couples the logic What happens when the Child stops being 16?
191. When the rule is no longer true, the object is retracted. when $p : Person ( age < 16 ) then logicalInsert ( new IsChild ( $p ) ) end when $p : Person ( age >= 16 ) then logicalInsert ( new IsAdult ( $p ) ) end de-couples the logic Maintains the truth by automatically retracting
192. TMS and Inference rule "Issue Child Bus Pass" when $p : Person ( ) IsChild ( person =$p ) then logicalInsert ( new ChildBusPass ( $p ) ); end rule "Issue Adult Bus Pass" when $p : Person ( age >= 16 ) IsAdult ( person =$p ) then logicalInsert ( new AdultBusPass ( $p ) ); end The truth maintenance cascades
193. TMS and Inference rule "Issue Child Bus Pass" when $p : Person ( ) not ( ChildBusPass ( person == $p ) ) then requestChildBusPass( $p ); end The truth maintenance cascades
285. If the same actions exist for rules covering all condition states for a given condition they can be combined and the condition state becomes irrelevant.
290. If the Condition columns are not exclusive, some combination of conditions are present in more than one column, which may lead to ambiguity or inconsistency.
294. If the Condition columns are not exclusive, some combination of conditions are present in more than one column, which may lead to ambiguity or inconsistency.
298. As the Condition columns are exclusive; combinations of conditions cannot be present in more than one column which eliminates ambiguity and inconsistency.
299. Classic form if Single-hit is "expanded decision table"; but this can be optimised or “contracted”.
341. HAL : Without your space helmet, Dave, you're going to find that rather difficult.
342. Dave Bowman : HAL, I won't argue with you anymore! Open the doors!
343. HAL : Dave, this conversation can serve no purpose anymore. Goodbye. Joshua: Greetings, Professor Falken. Stephen Falken : Hello, Joshua. Joshua: A strange game. The only winning move is not to play. How about a nice game of chess?
344. Backward Chaining query isContainedIn( String x, String y ) Location(x, y;) or ( Location(z, y;) and ?isContainedIn(x, z;) ) end" rule reactiveLook when Here( place : place) ?isContainedIn(place, "keys";)then" + System.out.println( "We have found your keys"); end
Editor's Notes
Example release/support life cycle, highly simplified (not a roadmap) Multiple Community projects develop their own respective versions Enterprise Platforms typically integrate many projects Diagram = binary releases only (all source is public; “source” version of this diagram would be much more complex) Community projects are always evolving Major/minor releases that are annual/quarterly Milestone releases that are approx. monthly Community releases are always being evaluated for functional, performance, quality standards for inclusion in a Platform Many Community releases are skipped over due to deficiencies e.g. AS5.0 didn't meet perf/stability, so EAP waited for AS5.1; AS6.0 probably will not meet criteria EAP alpha+beta+GA productization cycle follows Community AS “Final” release by 2-6 months During EAP productization period, many Community members move on to work on next release (new features) of Community projects For a given EAP release, support cycle lasts for 7 years Full support (4 yrs) – support + enhancements + patch releases Transition (1 yr) – support + patch releases Maintenance (2 yrs) – support + security patches only
Example release/support life cycle, highly simplified (not a roadmap) Multiple Community projects develop their own respective versions Enterprise Platforms typically integrate many projects Diagram = binary releases only (all source is public; “source” version of this diagram would be much more complex) Community projects are always evolving Major/minor releases that are annual/quarterly Milestone releases that are approx. monthly Community releases are always being evaluated for functional, performance, quality standards for inclusion in a Platform Many Community releases are skipped over due to deficiencies e.g. AS5.0 didn't meet perf/stability, so EAP waited for AS5.1; AS6.0 probably will not meet criteria EAP alpha+beta+GA productization cycle follows Community AS “Final” release by 2-6 months During EAP productization period, many Community members move on to work on next release (new features) of Community projects For a given EAP release, support cycle lasts for 7 years Full support (4 yrs) – support + enhancements + patch releases Transition (1 yr) – support + patch releases Maintenance (2 yrs) – support + security patches only
JBoss Community vs. Enterprise (another view of differences, similar to previous slide but with a few more details) Security Errata Certifications Out-of-the-box experience (e.g. configurations) Management/monitoring tools Software assurance / legal protection