Delivering knowledge in the field: A telecommunications service provision and maintenance case

This paper proposes a novel approach to providing knowledge management services in a business process wherein field engineers are the main process actors, providing and maintaining telecommunications services. Cooperating multi-agents play a central role for the provision of knowledge management services by integrating heterogeneous systems to collect related knowledge for the execution of mobile tasks. The proposed system is expected to increase both the performance of the mobile workforce and customer satisfaction by supporting and encouraging knowledge sharing

Effect of Prey Density on Diurnal Activity and Ovarian Development in \u3ci\u3eCalosoma Calidum\u3c/i\u3e (Coleoptera: Carabidae): Implications for Biological Control of the Gypsy Moth, \u3ci\u3eLymantria Dispar (Lepidoptera: Lymantriidae)\u3c/i\u3e in the Midwest

Four feeding treatments were used in the laboratory to study the effects of the availability of prey on diurnal behavior and ovarian development of Calosoma calidum. Activity was closely monitored for six weeks. No significant differences were found between male and female behavior patterns. Diurnal beetle activity was found to be inversely related to prey density; in treatments where prey was available, diurnal activity declined during the course of the experiment. At the end of six weeks, dissections of female beetles showed that ovarian development and fat body quantity were dependent upon the number of prey available for consumption

Combining Models of Approximation with Partial Learning

In Gold's framework of inductive inference, the model of partial learning requires the learner to output exactly one correct index for the target object and only the target object infinitely often. Since infinitely many of the learner's hypotheses may be incorrect, it is not obvious whether a partial learner can be modifed to "approximate" the target object. Fulk and Jain (Approximate inference and scientific method. Information and Computation 114(2):179--191, 1994) introduced a model of approximate learning of recursive functions. The present work extends their research and solves an open problem of Fulk and Jain by showing that there is a learner which approximates and partially identifies every recursive function by outputting a sequence of hypotheses which, in addition, are also almost all finite variants of the target function. The subsequent study is dedicated to the question how these findings generalise to the learning of r.e. languages from positive data. Here three variants of approximate learning will be introduced and investigated with respect to the question whether they can be combined with partial learning. Following the line of Fulk and Jain's research, further investigations provide conditions under which partial language learners can eventually output only finite variants of the target language. The combinabilities of other partial learning criteria will also be briefly studied.Comment: 28 page

Is There a Bubble in the Housing Market?

This paper looks for evidence of a bubble in U.S. housing prices. It analyzes quarterly state-level data over 1985-2002, focusing on the relationship between home prices and selected fundamental variables. Income per capita alone largely explains price changes in all but eight states; in the latter, large price movements are observed unrelated to the fundamentals. Results from a new survey of recent homebuyers in the Los Angeles, San Francisco, Boston, and Milwaukee metropolitan areas are reported. This survey replicates an almost identical 1988 survey and finds, as before, that buyers in most of these markets perceive little risk in their housing investment, have unrealistic expectations about future price increases, and hold economically implausible beliefs about home price behavior—findings consistent with a bubble. Prices in such markets could stall or decline, but only if such declines are simultaneous or spread to other markets are significant effects on the national economy likely.macroeconomics, Bubble, Housing Market

The Efficiency of the Market for Single-Family Homes

Tests of weak-form efficiency of the market for single family homes are performed using data on repeat sales prices of 39,210 individual homes, each for two sales dates. Tests were done for Atlanta, Chicago, Dallas, and San Francisco/Oakland for 1970-86. While evidence for seasonality in real housing prices is weak, we do find some evidence of inertia in housing prices. A city-wide real log price index change in a given year tends to be followed by a city-wide real log price index change in the same direction (and between a quarter to a half as large in magnitude) in the subsequent year. However, the inertia cannot account for much of the variation in individual housing real price changes. There is so much noise in individual housing prices relative to city-wide price index changes that the R[squared] in forecasting regressions for annual real price change in individual homes is never more than .04.

Prices of Single Family Homes Since 1970: New Indexes for Four Cities

This paper uses data on nearly a million homes sold in four metropolitan areas -- Atlanta, Chicago, Dallas and San Francisco -- to construct quarterly indexes of existing home prices between 1970 and 1986. We propose and apply a new method of constructing such indexes which we call the weighted repeat sales method (WRS). We believe the results give an accurate picture of the actual rate of appreciation in home prices in the four cities. The paper explains the construction of the index, discusses the results and compares them with the National Association of Realtors data on the median price of existing single family homes for the period 1981 - 1986.

The Behavior of Home Buyers in Boom and Post-Boom Markets

A questionnaire survey looked at home buyers in May 1988 in two "boom" cities currently experiencing rapid price increases (Anaheim and San Francisco), a "post-boom" city whose home prices are stable or falling a couple years after rapid price increase (Boston) and a "control" city where home prices had been very stable (Milwaukee). Home buyers in the boom cities had much higher expectations for future price increases, and were more influenced by investment motives. The interpretations that people place on the boom are not usually related to any concrete news event; there are instead oft-repeated cliches about home prices. This suggests that sudden real estate booms have, at least in part, a social, rather than rational or economic, basis. There is evidence for excess demand in boom markets and excess supply in the post-boom market; there appear to be various reasons for this: notions of fairness, intrinsic worth, popular theories about prices, coordination problems, and simple mistakes.