CSCC 34 Midterm Reviewer Flashcards

1
Q

It is a purposeful representation of some real system and is used to solve problems or answer questions about a system or a class of systems.

A

Model

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2
Q

To formulate a model means to design its ________ and _______

A

assumptions and algorithms

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3
Q

We can formulate a model that includes clusters of items and an individual “agent” that searches for
the items in the model world.

A

Purpose

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4
Q

Because the assumptions in the first version of a model are experimental, we have to test whether they are
appropriate and useful.

A

Evaluation

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5
Q

We need to start with a very clear research question because this question then serves as compass
and filter for designing a model

A

Formulate the Question

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6
Q

Agent-based modeling is “naive” in the sense that we are not trying to aggregate agents and what they are doing in some abstract variables like abundance, biomass, overall wealth, demographic rates, or nutrient fluxes

A

Assemble Hypotheses

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7
Q

The modeling cycle must be started with the most simple model possible, because we want to
develop understanding gradually, while iterating through the cycle.

A

Simplification

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8
Q

It includes scales, entities, state variables, processes, and parameters.

A

Choose Model Structure

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9
Q

There are models where individuals or agents are described as unique and autonomous entities that
usually interact with each other and their environment locally.

A

Agent-Based Modelling

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10
Q

Using ABMs lets us address problems that concern emergence: system dynamics that arise from how the
system’s individual components interact with and respond to each other and their environment

A

Emergence

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11
Q

Organized by subject area and currently contains more than 200 models.

A

Sample Models

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12
Q

These are models designed to be used in schools in the context of
curricula developed by the CCL at Northwestern University. Some of these are models are
also listed under Sample Models.

A

Curricular Models

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13
Q

Simple demonstrations of particular features of NetLogo.

A

Code Examples

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14
Q

Participatory simulations for use with groups. e.g., in the classroom.

A

Hubnet Activities

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15
Q

Turtles are agents that can move, i.e., kinds of turtles

A

Mobile Agents

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16
Q

Square cells that represent space. The world is a rectangular grid of patches.

A

Patches

17
Q

Connections between two turtles, representing relationships, e.g., a network

A

Links

18
Q

The overall controller of a model and its display.

A

Observer

19
Q

The patterns or phenomena that emerge as a result of individual behaviors and interactions within the model.

A

Emergence

20
Q

The ability of individuals to adjust their behavior in response to changing conditions or circumstances.

A

Adaptive Behavior

21
Q

How well an individual’s traits or behaviors align with the traits or behaviors of their social peers, serving as an implicit fitness measure.

A

Fitness

22
Q

The setup of initial conditions and parameters to begin the simulation.

A

Initialization

23
Q

Any external data or parameters used by the model.

A

Input Data

24
Q

Provides an overview of the main processes, actions, or events that occur in the model, including how they are scheduled or sequenced.

A

Process Overview and Scheduling

25
Q

Describes the key components (entities), their attributes (state variables), and the scales (spatial or temporal) at which the model operates.

A

Entities State Variables, and Scales

26
Q

The purpose outlines the objectives and goals of the model, explaining what the model intends to address or study.

A

Purpose