ASP has been applied fruitfully to a wide range of areas in AI and in other fields, both in academia and in industry, thanks to the expressive representation languages of ASP and the continuous improvement of ASP solvers. We present some of these ASP applications, in particular, in knowledge representation and reasoning, robotics, bioinformatics and computational biology as well as some industrial applications. We discuss the challenges addressed by ASP in these applications and emphasize the strengths of ASP as a useful AI paradigm.

Answer set programming is a declarative programming paradigm based on the answer set semantics of logic programs. This introductory article provides the mathematical background for the discussion of answer set programming in other contributions to this special issue.

This article reports on the first international Competition of Distributed and Multiagent Planners (CoDMAP). The competition focused on cooperative domain-independent planners compatible with a minimal multiagent extension of the classical planning model. The motivations for the competition were manifold: to standardize the problem description language with a common set of benchmarks, to promote development of multiagent planners both inside and outside of the multiagent research community, and to serve as a prototype for future multiagent planning competitions. The article provides an overview of cooperative multiagent planning, describes a novel variant of standardized input language for encoding mutliagent planning problems and summarizes the key points of organization, competing planners and results of the competition.

This column provides an encounter with the Artificial Intelligence research community in the state of Israel. The first section introduces this community and its special attributes. The second section provides overview on some recent research projects done in Israel.

Google is better catering to marketers who might not have the budget for enterprise-class data handling tools or the resources to manage the mountains of data they collect. The move points to how personalization has evolved from being a nice-to-have to a must-have for digital marketers of all sizes. Google Optimize's free platform could be a huge boon to startups and fledgling initiatives, as any marketer who doesn't -- or can't -- take advantage of analytics to turn raw consumer data into useful campaign information is essentially handicapping their entire program. The new Session Quality Score underscores how machine learning is quickly becoming a standard digital marketing technique. "As today's businesses are shifting to compete on customer experience and personalized marketing, we want to give all businesses the tools and access to compete -- and ultimately, drive better online consumer experiences," wrote Babak Pahlavan, senior director of product management and analytics solutions and measurement at Google, in the blog post.

It knew enough about medical diagnoses and literature to beat "Jeopardy!" Now, an IBMcomputer platform called Watson is taking on something really tough: teaching third-grade math. For the past two years, the IBM Foundation has worked with teachers and their union, the American Federation of Teachers, to build Teacher Advisor, a program that uses artificial-intelligence technology to answer questions from educators and help them build personalized lesson plans. By the end of the year, it will be available free to third-grade math teachers across the country and will add subject areas and grade levels over time. "The idea was to build a personal adviser, so a teacher would be able to find the best lesson and then customize the lesson based upon their classroom needs," said Stanley S. Litow, president of the IBM Foundation. "By loading a massive amount of content, of teaching strategies, lesson plans, you'd actually make Watson the teacher coach," Mr. Litow said.

In some use cases, it is impossible for humans to replicate the performance of artificial intelligence. But businesses will need a lot of data for AI systems to be effective. Maybe you've seen an artificial intelligence (AI) system like Watson at work on "Jeopardy!" or have heard of its successes in medical diagnoses or other fields. Maybe you've only heard about other similar systems working through incredibly complex and large sets of data to produce results that even non-experts can understand, through visualizations or natural language. Either way, AI systems are impressing many on their march toward becoming essential business processes.

Alan Turing was well ahead of his time in predicting the capabilities of AI. Computers are writing novels -- and getting better at it. It probably won't help your "robots are stealing our jobs" fear. And it casts doubt on the idea that creative professions are safer than the administrative or processing professions. Right now, in a play on a human literary contest, around a hundred people are writing computer programs that will write texts for them, the Verge says.

At its hardware launch event in San Francisco yesterday, Alphabet showed the sweeping breadth of its ambition to own consumers' personal data, as computing continues to accelerate away from static desktops and screens, coalescing into a cloud of connected devices with the potential to generate far more data -- and data of a far more intimate nature -- than ever before. Along with two new "Google designed" flagship Android smartphones (called Pixel), the first Androids to be preloaded with the company's AI assistant (the Google Assistant) and also including fully unlimited cloud storage to suck users' photos and videos into Google's cloud, there were Google Wifi routers, designed to be bought in bundles to plug all those pesky in-home internet blackspots; the Google Home always listening connected speaker, which is voice-controlled via the Google Assistant and has limited support for third-party IoT devices (such as Philips Hue lightbulbs); an updated Chromecast (the Ultra) to ensure any legacy TV panels are internet-enabled; and Google's less disposable mobile VR play, aka the soft-touch Daydream View headset -- just in case consumer eyeballs seek to stray outside the data-mined smart home by escaping into virtual reality. The scope of Alphabet's ambition for the Google brand is clear: It wants Google's information organizing brain to be embedded right at the domestic center -- i.e. In other words, your daily business is Google's business. "We're moving from a mobile-first world to an AI-first world," said CEO Sundar Pichai kicking off yesterday's event.

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