By Jürgen Scheffran, Francesco C. Billari, Thomas Fent, Alexia Prskawetz
The current publication describes the technique to establish agent-based types and to check rising styles in complicated adaptive platforms caused by multi-agent interplay. It bargains the appliance of agent-based versions in demography, social and fiscal sciences and environmental sciences. Examples comprise inhabitants dynamics, evolution of social norms, verbal exchange constructions, styles in eco-systems and socio-biology, common source administration, unfold of ailments and improvement approaches. It offers and combines varied methods tips on how to enforce agent-based computational versions and instruments in an integrative demeanour that may be prolonged to different instances.
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Additional info for Agent-Based Computational Modelling: Applications in Demography, Social, Economic and Environmental Sciences (Contributions to Economics)
Series: Lecture Notes in Economics and Mathematical Systems, Vol. 484, Springer, Berlin. 7. Dopfer, K. (2001) Evolutionary economics: Framework for analysis. In: K. ) Evolutionary Economics: Program and Scope. Kluwer Academic Publishers, Boston, Dordrecht, London, Chap. 1, pp. 1-44. 8. Ebersberger, B. (2002) Genetische Programmierung: Ein Instrument zur empirischen Fundierung ¨ okonomischer Modelle. DUV, Wiesbaden. 34 Andreas Pyka and Thomas Grebel 9. Eliasson, G. (1988) Schumpeterian Innovation, Marktet Structure and the Stability of Industrial Devlopment.
Xn yn On the Analysis of Asymmetric Directed Communication Structures 39 We represent the inner product of x and y which is a semilinear form on a given vector space V as: n ⟨x | y⟩ = x∗ y = xk yk (6) k=1 For the vector space V the following rules hold: ⟨x | x⟩ ≥ 0 with ⟨x | x⟩ = 0 if and only if x = 0 ⟨ax | y⟩ = a⟨x | y⟩; ⟨x | ay⟩ = a⟨x | y⟩ ⟨x + y | z⟩ = ⟨x | z⟩ + ⟨y | z⟩ ⟨x | y⟩ = ⟨y | x⟩ (7) (8) (9) (10) The norm, denoted by ∥ x ∥, is defined as follows: ⟨x | x⟩ =∥ x ∥ (11) Note that the distance between two vectors x and y is defined by ∥ x − y ∥.
Although, of course, cost-benefit calculations (with respect to innovation itself a problematic activity) play an important role, the actors’ behaviour is influenced additionally by several other factors as learning, individual and collective motivation, trust etc. It is the role of these factors the knowledge-based approach of evolutionary economics explicitly takes into account. 22 Andreas Pyka and Thomas Grebel By switching from the incentive-based perspective to the knowledge-based perspective the Neo-Schumpeterian approaches have realized a decisive change in the analysis of the transformation of economic systems.
Agent-Based Computational Modelling: Applications in Demography, Social, Economic and Environmental Sciences (Contributions to Economics) by Jürgen Scheffran, Francesco C. Billari, Thomas Fent, Alexia Prskawetz