Innovation and self-organization in a multi-agent

A model is developed to study the effectiveness of innovation and its impact on structure creation on agent-based societies. The abstract model that is developed is easily adapted to any particular field. In an interacting environment, the agents receive something from the environment (the other agents) in exchange for their effort and pay the environment a certain amount of value for the fulfilling of their needs or for the very price of existence in that environment. This is coded by two bit strings and the dynamics of the exchange is based on the matching of these strings to those of the other agents. Innovation is related to the adaptation by the agents of their bit strings to improve some utility function.info:eu-repo/semantics/publishedVersio

On Positional Consumption and Technological Innovation- an Agent-based Approach

Positional behavior is a source of externalities and sets limits to wellbeing. Remedies against this market failure are defended by some authors and rejected by others, while the core of the discussion rests on the benefits and costs of applying economic instruments. One of the issues discussed is the role that the competition for positional goods may have in generating technological innovation. This paper aims to contribute to the understanding of this process by analyzing an agent-based model. We observe a plausible structure of the dynamics behind the process of generation of technological innovation by positional consumption and obtain results on the influence of some key factors on the pace of innovation, particularly those of income inequality, the Hirsch conjecture of relative increase of positional consumption with affluence, and consumer network and social neighborhood sizes.Positional consumption, innovation, agent-based models, Robert Frank

The coevolution of knowledge networks and knowledge creation

Trabajo presentado al 8th European Meeting on Applied Evolutionary Economics celebrado en Sophia Antipolis (Francia) del 10 al 12 de Junio de 2013.Previous research has modeled the evolution of either knowledge creation or knowledge networks, but not their co-evolution. This work presents an agent-based model to cover this gap and challenge the intuition that both phenomena are mutually re-enforcing. The model consists on the rules of partner selection and the rules of knowledge creation by the agents. Agents in the knowledge network choose their partners depending on their previous collaboration history and on their attractiveness. Similarly, the amount of knowledge created by each agent depends on his number of partners and the knowledge he has created earlier. The simulations of the model show a wide variety of scenarios with different policy strategies suitable for each.Peer Reviewe

On Positional Consumption and Technological Innovation - an Agent-based Approach

Positional behavior is a source of externalities and sets limits to wellbeing. Remedies against this market failure are defended by some authors and rejected by others, while the core of the discussion rests on the benefits and costs of applying economic instruments. One of the issues discussed is the role that the competition for positional goods may have in generating technological innovation. This paper aims to contribute to the understanding of this process by analyzing an agent-based model. We observe a plausible structure of the dynamics behind the process of generation of technological innovation by positional consumption and obtain results on the influence of some key factors on the pace of innovation, particularly those of income inequality, the Hirsch conjecture of relative increase of positional consumption with affluence, and consumer network and social neighborhood sizes

INNOVATION PORTRAIT OF TURKEY IN THE CONTEXT OF FIRM SIZES (2002-2008 PERIOD)

İnsanlığın gelişimi ve ulusların zenginliğinin vazgeçilmezi olan bilim, teknoloji ve rekabetin hızlı dönüşümü inovasyonu da şekillendirmektedir. İşletmeler hayatta kalmak ve başarılı olmak için inovasyon aracılığıyla sürekli bir rekabet avantajı sağlama yoluna gitmektedirler. İnovasyonun yeni ürün, süreç, organizasyon ve pazar yaratarak işletmelere rekabet gücü kazandırması nedeniyle, hükümetler inovasyon çabalarını desteklemektedirler. İnovasyona verilmesi gereken hükümet desteğinin, işletme büyüklükleri çerçevesinde yapılması gerektiği söylenmektedir. Bu çalışmada, Türkiye'deki 2002-2008 yıllarını kapsayan üç dönemdeki işletmelerin inovasyon çalışmalarına yönelik, inovasyon türleri ile işletme büyüklüğü arasındaki ilişkilere bakılmıştır. İnovasyon türleri ile büyüklük arasındaki anlamlı ve pozitif ilişkiye rağmen bu ilişkinin zayıf olması inovasyonun işletme büyüklükleri açısından çok farklı olmadığını göstermiştir. İnovasyon harcamaları ile işletme büyüklüğü arasındaki ilişkinin pozitif ama çok zayıf olması da bu bulguyu desteklemektedir. Ayrıca, dönemler itibariyle inovasyon çabalarının artmadığı gözlemlenmiştir. Science, technology and rapid transformation in competition are an indispensable part of human development and the wealth of nations shape innovation. For surviving and shining in the business area firms must obtain a sustainable competitive advantage continuously. Innovation brings to firms to have a competitive advantage by creating new product, process, organization and market. Hence, governments support innovation efforts of firms. It is said that government support for innovation must be given to firms within by firm size. In this study, relation between innovation types and firm size were examined in the three periods of 2002-2008 years in Turkey. Despite of the significant and positive relationship between innovation types and firm size innovation is not very different in terms of firm sizes because of weak relationship. Being positive but very weak relationship between innovation expenditure and firms size also supports this finding. Also, innovation efforts of firms didn't increase in terms of period

INNOVATION AND SELF-ORGANIZATION IN A MULTI-AGENT MODEL

A model is developed to study the effectiveness of innovation and its impact on structure creation on agent-based societies. The abstract model that is developed is easily adapted to any particular field. In an interacting environment, the agents receive something from the environment (the other agents) in exchange for their effort and pay the environment a certain amount of value for the fulfilling of their needs or for the very price of existence in that environment. This is coded by two bit strings and the dynamics of the exchange is based on the matching of these strings to those of the other agents. Innovation is related to the adaptation by the agents of their bit strings to improve some utility function.Innovation, agent-based models, artificial societies