Automatic goal allocation for a planetary rover with DSmT

In this chapter, we propose an approach for assigning aninterest level to the goals of a planetary rover. Assigning an interest level to goals, allows the rover to autonomously transform and reallocate the goals. The interest level is defined by data-fusing payload and navigation information. The fusion yields an 'interest map',that quantifies the level of interest of each area around the rover. In this way the planner can choose the most interesting scientific objectives to be analysed, with limited human intervention, and reallocates its goals autonomously. The Dezert-Smarandache Theory of Plausible and Paradoxical Reasoning was used for information fusion: this theory allows dealing with vague and conflicting data. In particular, it allows us to directly model the behaviour of the scientists that have to evaluate the relevance of a particular set of goals. This chaptershows an application of the proposed approach to the generation of a reliable interest map

Design concept development in transportation design

The paper presents results of a study about design concept development in transportation design. The main question of this study concerns mainly the existence and development of design concepts and its status in the design process furthermore it partially describes its content, manifestation and function. From the view of industrial psychology, the design concept is one of the most important stages in the design process, because its availability determines the success, regarding the design object. A design concept can be understood as the first solid and focused unit of knowledge in design processes with ill-defined problems. In the Design Process Planning, based on Action Regulation Theory, design concepts act as a compact guiding principle, including the anticipation of the artefact. Using this as a scientific basis a long term study with 25 students including cross section and longitudinal aspects were held from 2005 to 2008. Three concept types derived from the literature preceded the investigation, whereby the holistic experience-oriented one after Uhlmann (2006a) forms the beginning. This focus was confirmed within the investigation for the majority of the projects, yet one must assume that, functional (construction-oriented) or formal concepts successfully finds to application. Holistic concepts enable a more comprehensive and more balanced treatment within the design process. Within the work two general methods of generating design concepts: extracting and compiling were defined. Following the typical processes they can be assigned to different fields: transportation design (extracting) and industrial design (compiling). Furthermore three designer types and an open category could be identified. The three types “automobile”, “design” and “story” can be clearly and consistently assigned by the students. The research closes with a recommendation of a hybrid design concept processing using aspects of the two generating methods as well as instruments of different designer types. Keywords: Design Concept, Transportation Design, Field study, Early stages</p

Market information acquisition: a prerequisite for successful strategic entrepreneurship

AbstractThis paper investigates on the types of information used by managers and entrepreneurs, so as to conduct market research and to evaluate market potential.The authors examine five major sets of variables to understand their impact on firms’ information market search effort. Empirical results based on a survey of Greek enterprises provide support for these factors in predicting firms’ market information acquisition. Findings on structural and administrative characteristics of the firms support the notion that companies engaged in greater market information search and evaluation of market potential tend to develop and implement complex penetration and development market strategies, in order to maximize their business performance in the examined market

Design: One, but in different forms

This overview paper defends an augmented cognitively oriented generic-design hypothesis: there are both significant similarities between the design activities implemented in different situations and crucial differences between these and other cognitive activities; yet, characteristics of a design situation (related to the design process, the designers, and the artefact) introduce specificities in the corresponding cognitive activities and structures that are used, and in the resulting designs. We thus augment the classical generic-design hypothesis with that of different forms of designing. We review the data available in the cognitive design research literature and propose a series of candidates underlying such forms of design, outlining a number of directions requiring further elaboration

Evolving macro-actions for planning

Domain re-engineering through macro-actions (i.e. macros) provides one potential avenue for research into learning for planning. However, most existing work learns macros that are reusable plan fragments and so observable from planner behaviours online or plan characteristics offline. Also, there are learning methods that learn macros from domain analysis. Nevertheless, most of these methods explore restricted macro spaces and exploit specific features of planners or domains. But, the learning examples, especially that are used to acquire previous experiences, might not cover many aspects of the system, or might not always reflect that better choices have been made during the search. Moreover, any specific properties are not likely to be common with many planners or domains. This paper presents an offline evolutionary method that learns macros for arbitrary planners and domains. Our method explores a wider macro space and learns macros that are somehow not observable from the examples. Our method also represents a generalised macro learning framework as it does not discover or utilise any specific structural properties of planners or domains