to make problem so lv ing e f f i c i e n t. An example is presented from s domain of physics problem so lv ing tasks in which a h i e r a r c h i c a l o rgan isa t ion of l i n e s of reasoning leads to e r ro r s of the garden path type. Several aspects of a possib le model of the problem so lv ing

Managing today’s computer networks is a complex and error-prone task. These networks consist of a wide variety of devices, from routers and switches, to firewalls, network-address translators, load balancers, and

Garbage collection (GC) is a technique for automatically re-claiming unused blocks of application memory, thereby re-lieving the application programmer of this often error-prone task. GC has long been effectively employed in functional

Installation and configuration of large wireless networks in heterogeneous environments are challenging, time-consuming and error-prone tasks, even for trained people. Once deployed, such wireless networks require continuous interven-

Mappings between disparate models are fundamental to any application that requires interoperability between heterogeneous data and applications. Generating mappings is a laborintensive and error prone task. To build a system that helps users generate mappings, we need an explicit representation

Smart transducer technology supports the composability, configurability, and maintainability of sensor/actuator networks. The configuration and management of such networks, when carried out manually, is an expensive and error-prone task. Therefore, many existing fieldbus systems provide means

The history of audio analysis reveals an intensely difficult, laborious and error-prone task, where analysis tools have proved helpful, but final measurements have been based mostly on human judgement. Only since the 1980’s did it begin to become feasible to process audio data automatically

Current approaches for dealing with uncertainty in the Semantic Web rely on the principle that the uncertainty is already asserted Users are responsible for the uncertainty annotation of ontologies (tedious and error-prone task) Perform probabilistic reasoning on OWL-DL ontologies without any kind

The implementation of distributed applications is a tedious and error-prone task. In order to simplify it, a lot of research was done during the last ten to fifteen years in order to provide suitable platforms. These provide an abstraction from details such as semantics of RPCs, marshalling

Programming sensor networks is currently a cumbersome and error-prone task since it requires programming individual sensor nodes, using low-level programming languages, interfacing to the hardware and the network, only supported by primitive operating system abstractions. There is a strong need