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Institution:
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Massachusetts Institute of Technology
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Subject:
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Description:
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Many complex systems can be represented as a society of agents who aggregate information to reach a collective decision. An Anigraf makes explicit how one agent's knowledge is related to another's, and how the form of these relationships affects the social choice. Simulations are used to discover emergent properties of different Anigraf models. Topics include elementary graph theory, network designs, partial orders, voting strategies, coordination games, and dynamics of choice. Applied examples taken from insect societies, neural networks, studies of co-evolution, cognition, and group decision-making.
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Credits:
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3.00
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Credit Hours:
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Prerequisites:
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Prereq: 9.34 or permission of instructor
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Corequisites:
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Exclusions:
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Level:
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Instructional Type:
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Lecture
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Notes:
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Additional Information:
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Historical Version(s):
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Institution Website:
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Phone Number:
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(617) 253-1000
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Regional Accreditation:
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New England Association of Schools and Colleges
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Calendar System:
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Four-one-four plan
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