Hybrid solutions to the feature interaction problem

In this paper we assume a competitive marketplace where the features are developed by different enterprises, which cannot or will not exchange information. We present a classification of feature interaction in this setting and introduce an on-line technique which serves as a basis for the two novel <i>hybrid</i> approaches presented. The approaches are hybrid as they are neither strictly off-line nor on-line, but combine aspects of both. The two approaches address different kinds of feature interactions, and thus are complimentary. Together they provide a complete solution by addressing interaction detection and resolution. We illustrate the techniques within the communication networks domain

What use are formal design and analysis methods to telecommunications services?

Have formal methods failed, or will they fail, to help us solve problems of detecting and resolving of feature interactions in telecommunications software? This paper contains SWOT(Strengths, Weaknesses, Opportunities and Threats) analysis of the use of formula design and analysis methods in feature interaction analysis and makes some suggestions for future research

Modelling legacy telecommunications switching systems for interaction analysis

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Conversational Agents, Humorous Act Construction, and Social Intelligence

Humans use humour to ease communication problems in human-human interaction and \ud in a similar way humour can be used to solve communication problems that arise\ud with human-computer interaction. We discuss the role of embodied conversational\ud agents in human-computer interaction and we have observations on the generation\ud of humorous acts and on the appropriateness of displaying them by embodied\ud conversational agents in order to smoothen, when necessary, their interactions\ud with a human partner. The humorous acts we consider are generated spontaneously.\ud They are the product of an appraisal of the conversational situation and the\ud possibility to generate a humorous act from the elements that make up this\ud conversational situation, in particular the interaction history of the\ud conversational partners

Delineating Geographical Regions with Networks of Human Interactions in an Extensive Set of Countries

Large-scale networks of human interaction, in particular country-wide telephone call networks, can be used to redraw geographical maps by applying algorithms of topological community detection. The geographic projections of the emerging areas in a few recent studies on single regions have been suggested to share two distinct properties: first, they are cohesive, and second, they tend to closely follow socio-economic boundaries and are similar to existing political regions in size and number. Here we use an extended set of countries and clustering indices to quantify overlaps, providing ample additional evidence for these observations using phone data from countries of various scales across Europe, Asia, and Africa: France, the UK, Italy, Belgium, Portugal, Saudi Arabia, and Ivory Coast. In our analysis we use the known approach of partitioning country-wide networks, and an additional iterative partitioning of each of the first level communities into sub-communities, revealing that cohesiveness and matching of official regions can also be observed on a second level if spatial resolution of the data is high enough. The method has possible policy implications on the definition of the borderlines and sizes of administrative regions.National Science Foundation (U.S.)Singapore-MIT Alliance for Research and Technolog