000			02222nam a2200373 4500
001			OTLid0000683
003			MnU
005			20201105133352.0
006			m o d s
008			190314s2019 mnu o 0 0 eng d
020			_a
040			_aMnU _beng _cMnU
050		4	_aQA76
245	0	0	_aAgent-Based Evolutionary Game Dynamics _cLuis Izquierdo
264		2	_bOpen Textbook Library
264		1	_bUniversity of Wisconsin-Madison
300			_a1 online resource
490	0		_aOpen textbook library.
505	0		_a0. Introduction -- 0.1. Introduction to evolutionary game theory -- 0.2. Introduction to agent-based modeling -- 0.3. Introduction to Netlogo -- 0.4. The fundamentals of NetLogo -- 1. Our first agent-based evolutionary model -- 1.0. Our very first model -- 1.1. Extension to any number of strategies -- 1.2. Noise and initial conditions -- 1.3. Interactivity and efficiency -- 1.4. Analysis of these models -- 1.5. Answers to exercises -- 2. Spatial interactions on a grid -- 2.0. Spatial chaos in the Prisoner's Dilemma
520	0		_aThis book is a guide to implement simple agent-based evolutionary models using NetLogo. All the models we implement are agent-based, i.e. individual agents and their interactions are explicitly represented in the models. To formalise agents' interactions we use the basic framework of Evolutionary Game Theory. NetLogo is a multi-agent programmable modeling environment used by hundreds of thousands of students, teachers and researchers all around the globe. No coding experience is necessary to fully understand the contents of this book.
542	1		_fAttribution
546			_aIn English.
588	0		_aDescription based on print resource
650		0	_aComputer Science _vTextbooks
700	1		_aIzquierdo, Luis R. _eauthor
700	1		_aIzquierdo, Segismundo S. _eauthor
700	1		_aSandholm, William H. _eauthor
710	2		_aOpen Textbook Library _edistributor
856	4	0	_uhttps://open.umn.edu/opentextbooks/textbooks/683 _zAccess online version
999			_c20046 _d20046