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The AI Boss That Deploys Hong Kong's Subway Engineers
Taco Cowboy writes The subway system in Hong Kong has one of the best uptimes: 99.9%, which beats London's tube or NYC's sub hands down. In an average week as many as 10,000 people would be carrying out 2,600 engineering works across the system — from grinding down rough rails to replacing tracks to checking for damages. While human workers might be the ones carrying out the work, the one deciding which task is to be worked on, however, isn't a human being at all. Each and every engineering task to be worked on and the scheduling of all those tasks is being handled by an algorithm. Andy Chun of Hong Kong's City University, who designed the AI system, says, "Before AI, they would have a planning session with experts from five or six different areas. It was pretty chaotic. Now they just reveal the plan on a huge screen." Chun's AI program works with a simulated model of the entire system to find the best schedule for necessary engineering works. From its omniscient view it can see chances to combine work and share resources that no human could. However, in order to provide an added layer of security, the schedule generated by the AI is still subject to human approval — Urgent, unexpected repairs can be added manually, and the system would reschedule less important tasks. It also checks the maintenance it plans for compliance with local regulations. Chun's team encoded into machine readable language 200 rules that the engineers must follow when working at night, such as keeping noise below a certain level in residential areas. The main difference between normal software and Hong Kong's AI is that it contains human knowledge that takes years to acquire through experience, says Chun. "We asked the experts what they consider when making a decision, then formulated that into rules – we basically extracted expertise from different areas about engineering works," he says.
This is a perfect example of an Expert System.
Expert Systems have been one of the most successful and longest used AI models in industry. FPGA routing and layout programs have relied on this form of AI since the early/mid 90's.
Riiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiight. It's those unions. Those ones whose membership has been steadily and measurably been decreasing for 30 years(almost exactly at the same rate as wage stagnation occurs, as a complete coincidence).
How small does Snowball's organization have to get before you stop believing he's behind everything?
In other words, this is basically Drools, plus a ton of billable consulting hours?
Actually, it's probably something more like TIBCO BusinessEvents with an orchestration engine added. But what's really cool is that they did the hard part: codifying the actual rules under which the overall system operates. That's where these kinds of systems either fly or fall. There are tons of rules that organizations use to make decisions, but a lot of those rules are quite informal and don't operate at a central point of authority. It takes a lot of digging to find them all, so that the undocumented process (for example) used by the foreman of the team that does rail maintenance to manage overtime among his crew gets incorporated into the overall chaining logic. Otherwise, the new system will either fail to reflect reality as teams rearrange their own schedules out of sync with their directives, or will wreak havoc among the employees.
For your security, this post has been encrypted with ROT-13, twice.
Actually, it's probably something more like TIBCO BusinessEvents with an orchestration engine added
Back in my time, we called what they have done now "an expert system". I fail to see why that designation should be suddenly inadequate.
Ezekiel 23:20