The death of Mary Tyler Moore Wednesday prompted an outpouring of grief from former co-star Ed Asner and others. She had been hospitalized with pneumonia due to complications from diabetes. Moore played an independent, unmarried career woman as the central character on the CBS sitcom, with Asner as her news director boss, Mr. Grant. The show brought the newsroom into the livingroom, with Moore's character working as an associate news producer. The show is ranked sixth by the Writers Guild on the list of 101 Best Written TV Series of All Time, and in addition to Moore and Asner boasted a cast including Betty White, Cloris Leachman, Valerie Harper, Gavin McLeod, Ted Knight and Georgia Engel.
Kings broadcaster Bob Miller has relinquished his microphone, a reluctant decision but one that was strongly recommended by his doctors to safeguard his health after he underwent quadruple bypass surgery early in 2016, suffered a mini-stroke three months later, and had another stroke in January. Miller, 78, was in his 44th season calling Kings games. He had cut back his schedule drastically and eliminated travel to games outside Pacific division cities, but even that reduced workload proved too much. "I don't want this to be a sad situation. I've had a great time working with people and visiting with fans down through the years," he said at a news conference at Staples Center held in the Chick Hearn Press Room, named for the legendary Lakers announcer and the man who helped Miller get the Kings job.
The other articles in the NL chapter of the Handbook include a historical sketch of machine translation from one language to another, which was the subject of the very earliest ideas about processing language with computers; technical articles on some of the grammars and parsing techniques that AI researchers have used in their programs; and an article on text generation, the creation of sentences by the program. Finally, there are several articles describing the NL programs themselves: the early systems of the 1960s and the major research projects of the last decade, including Wilks'S machine translation system, Winograd's SHRDLU, Woods's LUNAR, Schank's MARGIE, SAM, and PAM, and Hendrix's LIFER. Two other chapters of the Handbook are especially relevant to NL research. Speech understanding research attempts to build computer interfaces that understand spoken language. In the 197Os, speech and natural language understanding research were often closely linked.
In this presentation we provide a personal perspective of the progress made in the field of approximate reasoning systems. Because of time and space limitations, we will limit the scope of our discussion to cover the most notable trends and efforts in reasoning with uncertainty and vagueness. The existing approaches to representing this type of information can be subdivided in two basic categories according to their qualitative or quantitative characterizations of uncertainty. Models based on qualitative approaches are usually designed to handle the aspect of uncertainty derived from the incompleteness of the information, such as Reasoned Assumptions (Doyle, 1983), and Default Reasoning (Reiter, 1980). With a few exceptions, they are generally inadequate to handle the case of imprecise information, as they lack any measure to quantify confidence levels (Doyle, 1983). A few approaches in this group have addressed the representation of uncertainty, using either a formal representation, such as Knowledge and Belief (Halpern and Moses, 1986), or a heuristic representation, such as the Theory of Endorsements (Cohen, 1985). We will further limit our presentation by focusing on the development the quantitative approaches. Over the past few years, quantitative uncertainty management has received a vast amount of attention from the researchers in the field, (Shachter et al., 1990, Henrion