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Dialogues Concerning a (Possibly) New Science

Deffuant, Guillaume; Moss, Scott; Jager, Wander - In: Journal of Artificial Societies and Social Simulation 9 (2006) 1, pp. 1-1

The paper relates virtual dialogues about social simulation, with the implicit reference to Galieo\'s \'dialogues concerning two new sciences\'.

Persistent link: https://www.econbiz.de/10004983517

Network Structures and Agreement in Social Network Simulations

Stocker, Rob; Cornforth, David; Bossomaier, Terry - In: Journal of Artificial Societies and Social Simulation 5 (2002) 4, pp. 3-3

Networks are very evident in the physical world and particularly in social structures. One focus of research is on investigating the development and maintenance of social network structures. Social networks may be typically categorised as random, scale-free or hierarchical structures. A key...

Persistent link: https://www.econbiz.de/10005518516

Dynamical behavior and influence of stochastic noise on certain generalized Boolean networks

Beck, Gary L.; Matache, Mihaela T. - In: Physica A: Statistical Mechanics and its Applications 387 (2008) 19, pp. 4947-4958

This study considers a simple Boolean network with N nodes, each node’s state at time t being determined by a certain number of parent nodes. The network is analyzed when the connectivity k is fixed or variable. Making use of a Boolean rule that is a generalization of Rule 22 of elementary...

Persistent link: https://www.econbiz.de/10010873556

Metabolism of Social System: N-Person Iterated Prisoner’s Dilemma Analysis In Random Boolean Network

Situngkir, Hokky; Khanafiah, Deni - EconWPA - 2004

Random Boolean Network has been used to find out regulation patterns of genes in organism. This approach is very interesting to use in a game such as N-Person Prisoner’s Dilemma. Here we assume that agent’s action is influenced by input in the form of choices of cooperate or defect she...

Persistent link: https://www.econbiz.de/10005062379

On Lempel–Ziv complexity for multidimensional data analysis

Zozor, S.; Ravier, P.; Buttelli, O. - In: Physica A: Statistical Mechanics and its Applications 345 (2005) 1, pp. 285-302

In this paper, a natural extension of the Lempel–Ziv complexity for several finite-time sequences, defined on finite … size alphabets is proposed. Some results on the defined joint Lempel–Ziv complexity are given, as well as properties in … connection with the Lempel–Ziv complexity of the individual sequences. Also, some links with Shannon entropies are exhibited and …

Persistent link: https://www.econbiz.de/10010590655

"Metabolism" of Social System

Situngkir, Hokky; Khanafiah, Deni - Bandung Fe Institute - 2003

Persistent link: https://www.econbiz.de/10008876747

MODULATED EXPLORATORY DYNAMICS CAN SHAPE SELF-ORGANIZED BEHAVIOR

HESSE, FRANK; DER, RALF; HERRMANN, J. MICHAEL - In: Advances in Complex Systems (ACS) 12 (2009) 03, pp. 273-291

We study an adaptive controller that adjusts its internal parameters by self-organization of its interaction with the environment. We show that the parameter changes that occur in this low-level learning process can themselves provide a source of information to a higher-level context-sensitive...

Persistent link: https://www.econbiz.de/10005011436

Computational modeling of the dependence of kindling rate on network properties

Biswal, B.; Niranjan, B.R.; Ullal, G.; Dasgupta, C. - In: Physica A: Statistical Mechanics and its Applications 364 (2006) C, pp. 565-580

size and complexity of the network are independent of some of the assumptions made in our modeling. …

Persistent link: https://www.econbiz.de/10010589974

Feedback between node and network dynamics can produce real-world network properties

Brot, Hilla; Muchnik, Lev; Goldenberg, Jacob; Louzoun, Yoram - In: Physica A: Statistical Mechanics and its Applications 391 (2012) 24, pp. 6645-6654

Real-world networks are characterized by common features, including among others a scale-free degree distribution, a high clustering coefficient and a short typical distance between nodes. These properties are usually explained by the dynamics of edge and node addition and deletion.

Persistent link: https://www.econbiz.de/10010590440

Biologically inspired learning in a layered neural net

Bedaux, J.; van Leeuwen, W.A. - In: Physica A: Statistical Mechanics and its Applications 335 (2004) 1, pp. 279-299

A feed-forward neural net with adaptable synaptic weights and fixed, zero or non-zero threshold potentials is studied, in the presence of a global feedback signal that can only have two values, depending on whether the output of the network in reaction to its input is right or wrong.

Persistent link: https://www.econbiz.de/10010591832

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