Reformulating Component Identification as Document Analysis Problem

One of the first steps of component procurement is the identification of required component features in large repositories of existing components. On the highest level of abstraction, component requirements as well as component descriptions are usually written in natural language. Therefore, we can reformulate component identification as a text...

Please do not disturb: Modeling user experience for considerate home products

Products in the home offer ever more functionality. Advances in sensor technology, embedded processing power, and modeling and reasoning software, have enabled everyday products to sense their environment and eventually anticipate user needs. The enabling technology for ambient intelligence is now available. Whereas in the early days most of the...

A user experience-based approach to home atmosphere control

The complex control problem of creating home atmospheres using light, music, and projected wall-art can be reduced by focusing on desired expe- rience, rather than product functions and features. A case study is described in which subjective interpreta- tions of living room atmospheres were measured and embedded into a prototype display system....

A semantics for means-end relations

Using Advanced Integration Concepts for Trans-sector Innovation- View and Status

Validity maintenance in semantic feature modeling

Feature modeling has the ability to associate functional and engineering information to shape information in a product model. Current feature modeling systems, however, are still rather tied to techniques of conventional geometric modeling systems, offering limited facilities for defining feature semantics, and failing to preserve this semantics...

What is on the machine's mind? Models for reasoning with incomplete and uncertain knowledge

In this thesis, which consists of two parts, two different subjects are discussed. In the first part of the thesis a logic for reasoning with inconsistent knowledge will be described. The second part of the thesis contains a proposal for to view a reasoning process as a process of constructing a partial model of the world we are reasoning about....

How to reason with uncertain knowledge

In this paper two kinds of uncertainty, general and specific uncertainty, are distinguished. General uncertainty denotes an uncertainty about which objects of a class belong to a relation. Sentences in which it occurs can be view as describing incomplete knowledge. An example of such a sentence is: "Most humans have brown eyes". Specific...

Closure properties of the compositional rule of inference

Report 88-25 (Reviewed) TUD Faculty of Technical Mathematics and Informatics Heuristic reasoning

In this paper a model for heuristic reasoning with uncertain knowledge is presented. This model is a generalisation of the approach proposed by Clancey (Cla-84, Cla-85). We offer a clear semantics for the model, showing that the heuristic reasoning process can be given a clear probabilistic interpretation.