Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity, Creativity, Art, Science, Music, Jokes

I argue that data becomes temporarily interesting by itself to some self-improving, but computationally limited, subjective observer once he learns to predict or compress the data in a better way, thus making it subjectively simpler and more beautiful. Curiosity is the desire to create or discover more non-random, non-arbitrary, regular data that is novel and surprising not in the traditional sense of Boltzmann and Shannon but in the sense that it allows for compression progress because its regularity was not yet known. This drive maximizes interestingness, the first derivative of subjective beauty or compressibility, that is, the steepness of the learning curve. It motivates exploring infants, pure mathematicians, composers, artists, dancers, comedians, yourself, and (since 1990) artificial systems.Comment: 35 pages, 3 figures, based on KES 2008 keynote and ALT 2007 / DS 2007 joint invited lectur

Functional Generative Design: An Evolutionary Approach to 3D-Printing

Consumer-grade printers are widely available, but their ability to print complex objects is limited. Therefore, new designs need to be discovered that serve the same function, but are printable. A representative such problem is to produce a working, reliable mechanical spring. The proposed methodology for discovering solutions to this problem consists of three components: First, an effective search space is learned through a variational autoencoder (VAE); second, a surrogate model for functional designs is built; and third, a genetic algorithm is used to simultaneously update the hyperparameters of the surrogate and to optimize the designs using the updated surrogate. Using a car-launcher mechanism as a test domain, spring designs were 3D-printed and evaluated to update the surrogate model. Two experiments were then performed: First, the initial set of designs for the surrogate-based optimizer was selected randomly from the training set that was used for training the VAE model, which resulted in an exploitative search behavior. On the other hand, in the second experiment, the initial set was composed of more uniformly selected designs from the same training set and a more explorative search behavior was observed. Both of the experiments showed that the methodology generates interesting, successful, and reliable spring geometries robust to the noise inherent in the 3D printing process. The methodology can be generalized to other functional design problems, thus making consumer-grade 3D printing more versatile.Comment: 8 pages, 12 figures, GECCO'1

Coevolution of Firm Capabilities and Industry Competition

This paper proposes that rival firms not only search for new capabilities within their organization, but also for those that rest in their competitive environment. An integrated analysis of these search processes at both firm and industry levels of analysis shows how their interaction makes industries and firms coevolve over time. To contribute to an enhanced understanding of the concept of coevolution, a dynamic and integrative framework crossing meso and micro levels of analysis is constructed. This framework is applied to a longitudinal study of the music industry with a time-span of 120 years. The first part, a historical study, covers the period 1877 - 1990. The second part, a multiple-case study, covers the period 1990 - 1997. We conclude that search behavior drives coevolution through competitive dynamics among new entrants and incumbent firms and manifests itself in the simultaneous emergence of new business models and new organizational forms.coevolution;competitive regime;longitudinal research;multilevel research;music industry

A value chain and cluster perspective on competitiveness of European fresh vegetable production – Case studies from Germany, Italy, and Spain

In the present study we combine cluster theory with a value chain approach, with the aim of discovering elements of the European fresh vegetable business that could enable local producers to gain competitive advantages in a global market. European producers of fresh vegetables are under pressure to improve their performance and increase their competitiveness. Competitive advantage can be gained through innovation and by using unique resources stemming from cooperation between producers and complementary actors in local clusters. However, locally clustered producers do not sell to open markets but need access to value chains governed by lead firms, the large European retail chains, which set the rules and conditions of participation. The study presents first results from a multiple case-study analysis involving three different European regions in Germany, Italy and Spain specialized in fresh vegetable production. In-depth interviews with practitioners allowed us to confirm some main trends in business organization in the European fresh vegetable industry, but also to point out some interesting peculiarities of this industry. Local fresh vegetable producers become competitive due to their integration both in local production and wider marketing networks, where unique knowledge is created and interchanged by personal relationships. Further concentration on the local level is claimed to countervail power imbalances that usually favor buyers. The need for leading supermarket chains to build up direct relationships with key suppliers disturbs the functioning of existing relationship patterns in the local cluster. Creation of exclusive relationships with retail chains is pursued by entrepreneurs of innovative producing farms who treat their special knowledge and capacities as competitive advantages in the sharp competition in world markets and do not share it with other cluster actors.Fresh vegetables, value chains, clusters, competitiveness

40 Years Theory and Model at Wageningen UR

"Theorie en model" zo luidde de titel van de inaugurele rede van CT de Wit (1968). Reden genoeg voor een (theoretische) terugblik op zijn wer

Mapping Health Care Innovation: Tracing Walls & Ceilings

Health care is in need of innovation on many strands. Patient-centered care appears to be the key to the realization of the main objectives: service quality, cost reduction, access, patient satisfaction and the quality of working life. Innovation, and more precisely, the diffusion and implementation of new methods, new techniques and new processes and systems appears to be a difficult task. Consequently, there is a strong need for knowledge about innovation processes in health care and the drivers and barriers affecting these efforts. This paper presents a framework for mapping innovation processes in health care services. The framework consists of two axes: (1) the horizontal axis of the health care process and the inter-functional walls which can complicate innovation efforts, and (2) the vertical axis of the echelons of power, which often create ceilings too impermeable to permit effective learning and decision making. The study is based on the experiences gathered in Publin, a running research network supported by the Fifth Framework Program and Innoflex, which ended in 2003.economics of technology ;