8,631 research outputs found
Local and Global Interactions in an Evolutionary Resource Game
Conditions for the emergence of cooperation in a spatial common-pool resource game are studied. This combines in a unique way local and global interactions. A fixed number of harvesters are located on a spatial grid. Harvesters choose among three strategies: defection, cooperation, and enforcement. Individual payoffs are affected by both global factors, namely, aggregate harvest and resource stock level, and local factors, such as the imposition of sanctions on neighbors by enforcers. The evolution of strategies in the population is driven by social learning through imitation. Numerous types of equilibria exist in these settings. An important new finding is that clusters of cooperators and enforcers can survive among large groups of defectors. We discuss how the results contrast with the non-spatial, but otherwise similar, game of Sethi and Somanathan (1996).Common property, Cooperation, Evolutionary game theory, Global interactions, Local interactions, Social norms
Analysis of intellectual property cooperation behavior based on stochastic catastrophe theory and the QSIM algorithm
This article introduces a new model, the catastrophe model of intellectual
property cooperation behavior. The purpose of the model is
to analyze the evolutionary track of intellectual property cooperation
behavior. After providing a general of catastrophe mechanism
of intellectual property cooperation behavior and introducing stochastic
catastrophe theory, this article offers a catastrophe model of
intellectual property cooperation behavior. And then, based on the
survey data of high-tech enterprises, the model parameters were
given by introducing the qualitative simulation algorithm. The
results demonstrate that intellectual property cooperation is composed
of a cooperation strategic planning stage, cooperation system
formation stage, cooperation system working stage, and
cooperation profit distribution stage. Under the influence of control
variables, the intellectual property cooperation behavior will appear
catastrophic near the set of bifurcation points. Most previous studies
on intellectual property cooperation have disregarded the characteristic
of the sudden changes in cooperation behavior. Therefore,
this article offers an integrated catastrophe model and explains the
nature of intellectual property cooperation behavior
Spatial Evolution of Social Norms in a Common-Pool Resource Game
We study the conditions for the emergence of cooperation in a spatial common-pool resource game. We consider three types of agents: cooperators, defectors and enforcers. The role of enforcers is to punish defectors for overharvesting the resource. Agents are located around a circle and they only observe the actions of their two nearest neighbors. Their payoffs are determined by both local and global interactions and they modify their actions by imitating the strategy in their neighborhood with the highest payoffs on average. Using theoretical and numerical analysis, we find that a large diversity of equilibria exists in this game. In particular, we derive conditions for the occurrence of equilibria in which the three strategies coexist. We also discuss the stability of these equilibria. Finally, we show that introducing resource dynamics favors the occurrence of cooperative equilibria.Common property, Evolutionary game theory, Local interactions game, Self-organization, Cooperation
Complexity Theory, Adaptation, and Administrative Law
Recently, commentators have applied insights from complexity theory to legal analysis generally and to administrative law in particular. This Article focuses on one of the central problems that complexity. theory addresses, the importance and mechanisms of adaptation within complex systems. In Part I, the Article uses three features of complex adaptive systems-emergence from self-assembly, nonlinearity, and sensitivity to initial conditions-and explores the extent to which they may add value as a matter of positive analysis to the understanding of change within legal systems. In Part H, the Article focuses on three normative claims in public law scholarship that depend explicitly or implicitly on notions of adaptation: that states offer advantages over the federal government because experimentation can make them more adaptive, that federal agencies should themselves become more experimentalist using the tool of adaptive management, and that administrative agencies shou Id adopt collaborative mechanisms in policymaking. Using two analytic tools found in the complexity literature, the genetic algorithm and evolutionary game theory, the Article tests the extent to which these three normative claims are borne out
Game Theory Relaunched
The game is on. Do you know how to play? Game theory sets out to explore what can be said about making decisions which go beyond accepting the rules of a game. Since 1942, a well elaborated mathematical apparatus has been developed to do so; but there is more. During the last three decades game theoretic reasoning has popped up in many other fields as well - from engineering to biology and psychology. New simulation tools and network analysis have made game theory omnipresent these days. This book collects recent research papers in game theory, which come from diverse scientific communities all across the world; they combine many different fields like economics, politics, history, engineering, mathematics, physics, and psychology. All of them have as a common denominator some method of game theory. Enjoy
Modeling collective dynamics of social systems: Incorporating various social mechanisms into agent-based models
I present three original papers demonstrating complex behavior arising from collective dynamics in agent-based models (ABM) focusing on evolutionary and cognitive mechanisms. The first report demonstrates the coupled emergence of cooperation and selfish punishment behavior in groups of individuals playing an iterated public goods game. The second report demonstrates the effects of mental modeling within groups of decision makers. The third report demonstrates a synthesis of evolutionary and cognitive mechanisms
ΠΠΈΠ½Π°ΠΌΠΈΠΊΠ° Π³Π΅Π½ΠΎΡΠΈΠΏΠ° Π² Π½Π΅ΠΉΡΠΎΡΠ²ΠΎΠ»ΡΡΠΈΠΈ Π°Π³Π΅Π½ΡΠΎΠ² Π² ΠΌΠΎΠ΄Π΅Π»ΡΡ ΠΈΡΠΊΡΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΠΆΠΈΠ·Π½ΠΈ
ΠΠΎΠΎΠΏΠ΅ΡΠ°ΡΠΈΠ²Π½Π° ΠΏΠΎΠ²Π΅Π΄ΡΠ½ΠΊΠ° Ρ ΠΎΠ΄Π½ΡΡΡ Π· Π½Π°ΠΉΠ±ΡΠ»ΡΡ ΡΠ°ΡΡΠΎ Π²ΠΈΠΊΠΎΡΠΈΡΡΠΎΠ²ΡΠ²Π°Π½ΠΈΡ
ΡΠ° ΠΏΠΎΡΠΈΡΠ΅Π½ΠΈΡ
ΡΠΈΡ Π΄Π»Ρ Π±Π°Π³Π°ΡΠΎΠ°Π³Π΅Π½ΡΠ½ΠΈΡ
ΡΠΈΡΡΠ΅ΠΌ. Π£ Π΄Π΅ΡΠΊΠΈΡ
Π²ΠΈΠΏΠ°Π΄ΠΊΠ°Ρ
ΠΏΠΎΡΠ²Π° ΡΠ°ΠΊΠΎΡ ΠΏΠΎΠ²Π΅Π΄ΡΠ½ΠΊΠΈ ΠΏΠΎΠ²βΡΠ·Π°Π½Π° ΡΠ· ΠΏΠΎΠ΄ΡΠ»ΠΎΠΌ Π½Π°ΡΠ΅Π»Π΅Π½Π½Ρ Π½Π° ΡΠΏΡΠ²ΡΡΠ½ΡΡΡΡ ΡΡΠ±ΠΏΠΎΠΏΡΠ»ΡΡΡΡ [1, 2]. ΠΡΡΠΏΠΎΠ²Π° Π²Π·Π°ΡΠΌΠΎΠ΄ΡΡ ΠΌΠΎΠΆΠ΅ Π½Π°Π±ΡΠ²Π°ΡΠΈ Π½Π΅ Π»ΠΈΡΠ΅ ΡΠΎΡΠΌΠΈ Π°Π½ΡΠ°Π³ΠΎΠ½ΡΡΡΠΈΡΠ½ΠΎΠ³ΠΎ ΠΊΠΎΠ½ΡΠ»ΡΠΊΡΡ, Π°Π»Π΅ ΠΉ Π·ΡΠΌΠΎΠ²Π»ΡΠ²Π°ΡΠΈΡΡ Π³Π΅Π½Π΅ΡΠΈΡΠ½ΠΈΠΌ Π΄ΡΠ΅ΠΉΡΠΎΠΌ, ΡΠΊΠΈΠΉ ΠΏΡΠΈΠ²ΠΎΠ΄ΠΈΡΡ Π΄ΠΎ ΠΊΠΎΠ½ΠΊΡΡΠ΅Π½ΡΡΡ ΠΏΠΎΠ²Π΅Π΄ΡΠ½ΠΊΠΎΠ²ΠΈΡ
ΡΡΡΠ°ΡΠ΅Π³ΡΠΉ ΡΠ° ΠΌΠΎΠΆΠ»ΠΈΠ²ΠΎΡ Π°ΡΠΈΠΌΡΠ»ΡΡΡΡ [3]. ΠΡΠΎΠ΄Π΅ΠΌΠΎΠ½ΡΡΡΠΎΠ²Π°Π½ΠΎ ΡΡΠ·Π½Ρ Π²ΠΈΠ΄ΠΈ Π·Π°Π»Π΅ΠΆΠ½ΠΎΡΡΠ΅ΠΉ ΠΌΡΠΆ Π³ΡΡΠΏΠ°ΠΌΠΈ Π°Π³Π΅Π½ΡΡΠ² ΡΠ° ΡΡ
ΠΏΠΎΠ²Π΅Π΄ΡΠ½ΠΊΠΎΠ²ΠΈΠΌΠΈ ΡΡΡΠ°ΡΠ΅Π³ΡΡΠΌΠΈ. ΠΠΈΠΊΠΎΡΠΈΡΡΠ°Π½ΠΎ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΡΡ ΡΠΏΠΎΡΡΠ΅ΡΠ΅ΠΆΠ΅Π½Π½Ρ Π·Π° Π΄ΠΈΠ½Π°ΠΌΡΠΊΠΎΡ Π°Π³Π΅Π½ΡΠ½ΠΎΠ³ΠΎ Π³Π΅Π½ΠΎΡΠΈΠΏΡ [2], Π²ΡΠ΄ΠΏΠΎΠ²ΡΠ΄Π½ΠΎ Π΄ΠΎ ΡΠΊΠΎΡ ΠΏΠΎΠΏΡΠ»ΡΡΡΡ Ρ ΠΏΡΠΎΡΡΠΎΡΡ Π³Π΅Π½ΠΎΡΠΈΠΏΡΠ² ΠΌΠΎΠΆΠ΅ ΠΌΠ°ΡΠΈ Π²ΠΈΠ³Π»ΡΠ΄ Ρ
ΠΌΠ°ΡΠΈ ΡΠΎΡΠΎΠΊ, ΠΊΠΎΠΆΠ½Π° ΡΠΎΡΠΊΠ° ΡΠΊΠΎΡ Π²ΡΠ΄ΠΏΠΎΠ²ΡΠ΄Π°Ρ ΠΎΠ΄Π½ΡΠΉ ΠΎΡΠΎΠ±ΠΈΠ½Ρ. Π ΠΎΠ·Π³Π»ΡΠ½ΡΡΠΎ Π΄ΠΈΠ½Π°ΠΌΡΠΊΡ ΡΠ΅Π½ΡΡΠΎΡΠ΄Π° Π½Π°ΡΠ΅Π»Π΅Π½Π½Ρ β ΡΠ΅Π½ΡΡΠ° Ρ
ΠΌΠ°ΡΠΈ Π³Π΅Π½ΠΎΡΠΈΠΏΡ. ΠΠ½Π°Π»ΡΠ· ΡΠ°ΠΊΠΈΡ
ΡΡΠ°ΡΠΊΡΠΎΡΡΠΉ ΠΌΠΎΠΆΠ΅ ΡΠΏΡΠΈΡΡΠΈ Π΄ΠΎΡΠ»ΡΠ΄ΠΆΠ΅Π½Π½Ρ ΡΡΠ·Π½ΠΈΡ
ΡΠ΅ΠΆΠΈΠΌΡΠ² ΡΡΠ½ΡΠ²Π°Π½Π½Ρ ΠΏΠΎΠΏΡΠ»ΡΡΡΡ ΡΠ° ΡΡ
Π·Π°ΡΠΎΠ΄ΠΆΠ΅Π½Π½Ρ.Cooperation behavior is one of the most used and spread Multi-agent system feature. In some cases emergence of this behaviour can be characterized by division of population on co-evolving subpopulations [1], [2]. Group interaction can take not only antagonistic conflict form but also genetic drift that results with strategies competition and assimilation [3]. In this work we demonstrate different relation between agent grouping and they behavior strategies. We use approach proposed in work [2] methodology of agent genotype dynamic tracking, due to this approach the evolving population can be presented in genotype space as a cloud of points where each point corresponds to one individual. In current work consider the movement of population centroid β the center of the genotype cloud. Analysis of such trajectories can shad the light on the regimes of population existence and genesis.ΠΠΎΠΎΠΏΠ΅ΡΠ°ΡΠΈΠ²Π½ΠΎΠ΅ ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΎΠ΄Π½ΠΎΠΉ ΠΈΠ· Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΠ°ΡΡΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΠΌΡΡ
ΠΈ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½Π½ΡΡ
ΡΠ΅ΡΡ Π΄Π»Ρ ΠΌΠ½ΠΎΠ³ΠΎΠ°Π³Π΅Π½ΡΠ½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ. Π Π½Π΅ΠΊΠΎΡΠΎΡΡΡ
ΡΠ»ΡΡΠ°ΡΡ
ΠΏΠΎΡΠ²Π»Π΅Π½ΠΈΠ΅ ΡΠ°ΠΊΠΎΠ³ΠΎ ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ ΡΠ²ΡΠ·Π°Π½ΠΎ Ρ ΡΠ°Π·Π΄Π΅Π»Π΅Π½ΠΈΠ΅ΠΌ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ Π½Π° ΡΠΎΡΡΡΠ΅ΡΡΠ²ΡΡΡΠΈΠ΅ ΡΡΠ±ΠΏΠΎΠΏΡΠ»ΡΡΠΈΠΈ [1, 2]. ΠΡΡΠΏΠΏΠΎΠ²ΠΎΠ΅ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ ΠΌΠΎΠΆΠ΅Ρ ΠΏΡΠΈΠ½ΠΈΠΌΠ°ΡΡ Π½Π΅ ΡΠΎΠ»ΡΠΊΠΎ ΡΠΎΡΠΌΡ Π°Π½ΡΠ°Π³ΠΎΠ½ΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΊΠΎΠ½ΡΠ»ΠΈΠΊΡΠ°, Π½ΠΎ ΠΈ ΠΎΠ±ΡΡΠ»oΠ²Π»ΠΈΠ²Π°ΡΡΡΡ Π³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΠΌ Π΄ΡΠ΅ΠΉΡΠΎΠΌ, ΠΏΡΠΈΠ²ΠΎΠ΄ΡΡΠΈΠΌ ΠΊ ΠΊΠΎΠ½ΠΊΡΡΠ΅Π½ΡΠΈΠΈ ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΡΠ΅ΡΠΊΠΈΡ
ΡΡΡΠ°ΡΠ΅Π³ΠΈΠΉ ΠΈ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΠΉ Π°ΡΡΠΈΠΌΠΈΠ»ΡΡΠΈΠΈ [3]. ΠΡΠΎΠ΄Π΅ΠΌΠΎΠ½ΡΡΡΠΈΡΠΎΠ²Π°Π½Ρ ΡΠ°Π·Π»ΠΈΡΠ½ΡΠ΅ Π²ΠΈΠ΄Ρ Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠ΅ΠΉ ΠΌΠ΅ΠΆΠ΄Ρ Π³ΡΡΠΏΠΏΠ°ΠΌΠΈ Π°Π³Π΅Π½ΡΠΎΠ² ΠΈ ΠΈΡ
ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΡΠ΅ΡΠΊΠΈΠΌΠΈ ΡΡΡΠ°ΡΠ΅Π³ΠΈΡΠΌΠΈ. ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Π° ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡ Π½Π°Π±Π»ΡΠ΄Π΅Π½ΠΈΡ Π·Π° Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΎΠΉ Π°Π³Π΅Π½ΡΠ½ΠΎΠ³ΠΎ Π³Π΅Π½ΠΎΡΠΈΠΏΠ° [2], ΡΠΎΠ³Π»Π°ΡΠ½ΠΎ ΠΊΠΎΡΠΎΡΠΎΠΉ ΠΏΠΎΠΏΡΠ»ΡΡΠΈΡ ΠΌΠΎΠΆΠ΅Ρ Π±ΡΡΡ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π° Π² ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅ Π³Π΅Π½ΠΎΡΠΈΠΏΠΎΠ² Π² Π²ΠΈΠ΄Π΅ ΠΎΠ±Π»Π°ΠΊΠ° ΡΠΎΡΠ΅ΠΊ, Π³Π΄Π΅ ΠΊΠ°ΠΆΠ΄Π°Ρ ΡΠΎΡΠΊΠ° ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΠ΅Ρ ΠΎΠ΄Π½ΠΎΠΉ ΠΎΡΠΎΠ±ΠΈ. Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Π° Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ° ΡΠ΅Π½ΡΡΠΎΠΈΠ΄Π° ΠΏΠΎΠΏΡΠ»ΡΡΠΈΠΈ β ΡΠ΅Π½ΡΡ ΠΎΠ±Π»Π°ΠΊΠ° Π³Π΅Π½ΠΎΡΠΈΠΏΠ°. ΠΠ½Π°Π»ΠΈΠ· ΡΠ°ΠΊΠΈΡ
ΡΡΠ°Π΅ΠΊΡΠΎΡΠΈΠΉ ΠΌΠΎΠΆΠ΅Ρ ΠΏΠΎΠΌΠΎΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΠ΅ΠΆΠΈΠΌΠΎΠ² ΡΡΡΠ΅ΡΡΠ²ΠΎΠ²Π°Π½ΠΈΡ ΠΏΠΎΠΏΡΠ»ΡΡΠΈΠΈ ΠΈ ΠΈΡ
Π·Π°ΡΠΎΠΆΠ΄Π΅Π½ΠΈΡ
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