000			02028cam a22003854i 4500
005			20211105090036.0
008			070914s2005 maua b 001 0 eng d
010			_a 2004058199
011			_aBIB MATCHES WORLDCAT
020			_a0262025833 _qalk. paper
020			_a9780262025836 _qalk. paper
035			_a(ATU)b11256011
035			_a(DLC) 2004058199
035			_a(OCoLC)56387135
040			_aDLC _beng _erda _dATU
050	0	0	_aHT166 _b.B3866 2005
082	0	0	_a307.1216 _222
100	1		_aBatty, Michael, _eauthor. _9249982
245	1	0	_aCities and complexity : _bunderstanding cities with cellular automata, agent-based models, and fractals / _cMichael Batty.
264		1	_aCambridge, Mass. : _bMIT Press, _c[2005]
264		4	_c©2005
300			_axxi, 565 pages : _billustrations ; _c24 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references (pages 521-544) and index.
505	0		_aIntroduction : Understanding cities -- 1. Urban change: complexity and emergence -- 2. Cells and cities: the rudiments of computation -- 3. Laboratories for growing cities -- 4. Desktop simulators: hypothetical urban evolution -- 5. Agents and cells, actions and interactions -- 6. Local movement: agent-based models of street systems and buildings -- 7. The dynamics of small-scale spatial events -- 8. Polynucleated urban landscapes -- 9. Modeling urban growth as a spatial epidemic -- 10. Self-organized criticality and urban development -- 11. The fractal city -- Conclusion: Understanding Models.
588			_aMachine converted from AACR2 source record.
650		0	_aCity planning _xComputer simulation _9771444
650		0	_aCity planning _xMathematical models _9718674
907			_a.b11256011 _b20-03-18 _c27-10-15
998			_ab _ac _b20-03-18 _cm _da _feng _gmau _h0
945			_a307.1216 BAT _g1 _iA423767B _j0 _lcmain _o- _p$38.86 _q- _r- _s- _t0 _u3 _v0 _w0 _x0 _y.i12623477 _z29-10-15
942			_cB
999			_c1177964 _d1177964