The Human Footprint on the EnvironmentMain MenuOur GallerySapna Stanley45afd54c63a55f8dfe5809e603270f97edb22f41Sarah Godfreyade7c65472fd2e8af7bc1ebdc3225620b7afc129Eric Han1902f814ec83046035ae20410a4a2ad982b70e1d
Architects P1
12023-12-08T23:24:34+00:00Eric Han1902f814ec83046035ae20410a4a2ad982b70e1d1943From "Urban City Architect" by Hamburg Universityplain2023-12-09T01:39:52+00:00Eric Han1902f814ec83046035ae20410a4a2ad982b70e1d
12023-12-09T01:02:05+00:00Eric Han1902f814ec83046035ae20410a4a2ad982b70e1dEconomic needs must be balanced with environmentalEric Han1plain2023-12-09T01:02:05+00:00Eric Han1902f814ec83046035ae20410a4a2ad982b70e1d
12023-12-09T01:02:25+00:00Eric Han1902f814ec83046035ae20410a4a2ad982b70e1dOther nearby blocks are already developedEric Han1plain2023-12-09T01:02:25+00:00Eric Han1902f814ec83046035ae20410a4a2ad982b70e1d
12023-12-08T00:05:16+00:00Urban Climate Architect8plain2023-12-09T00:50:57+00:00In the work "Urban Climate Architect", the player must design a city in blocks, where each block can be a multitude of things -- an office building, a factory, a forest, an apartment, etc. In the "Agency" chapter of Hamlet on the Holodeck, Murray writes, "Some games, like chess, can have relatively few or infrequent actions but a high degree of agency, since the actions are highly autonomous, selected from a large range of possible choices, and wholly determine the course of the game"(Murray 127). The player will quickly realize that "Urban Climate Architect" is one of these games, as though there is an overarching objective, the player has the freedom to design the city however they want without the game actually stopping them even if the choices contradict said objective. As mentioned, the player is not confined to any kind of progression or objective other than 'fill up the squares however you like' -- although there are warnings about things like employment or CO2 levels, nothing stops the player from making choices like filling the whole board with factories. This absolute agency allows the player to test their own genuine perceptions (of, for example, what a good ratio of green space to apartment space is in a city) and then have those perceptions quite literally "evaluated", allowing them to dynamically learn based on their initial perceptions.