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1:24:29
CMPT856: Structured cospans:Integrating examples&theory for composing open systems&their adjunctions
14:33
CMPT 394/858: Causal Loop Diagrams as abstractions, relationship to Stock & Flow Diagrams
1:30:35
CMPT 856:Composing open systems via structured cospans of CSets & their basis in adjunctions
1:11:42
CMPT 856: Stock&Flow Module 1 (StockFlow.jl creator Xiaoyan Li): Review & First Glimpse of Cospans
1:06:23
CMPT 394/858: Building up a First Stock & Flow Communicable Disease Transmission Model
1:37:52
CMPT856 Lec.9--From CSets to ACSets, mixing relational & attribute data, introducing @acset_colim
41:31
CMPT856 Lec.8 (abridged): Pushouts in various CSet categories
1:16:59
CMPT856 Lec.8--Models as data, pushouts in various CSet (copresheaf) categories &review
29:49
CMPT 394/858: Experimentation with First Order Delay
45:45
CMPT 394/858: Comments on First Order Delays and Dimensions
28:35
CMPT394/858:Causal Loops to System Structure Diag.:Sharper insights via added structural assumptions
1:39:03
CMPT856 Lec.6--Graphs:Terminal&initial,products&coproducts, causal loop diagram homomorphisms
54:22
Discussion of Causal Loop Diagramming
24:07
Comments on Incremental & Agile Modeling
1:15:55
CMPT856 Lec.5--Finding homomorphisms as querying: Patterns&Homomorphisms in an Agent-Inspired Schema
58:29
CMPT 394/858 -- Examples and Question & Answers on Causal Loop Diagrams
1:20:57
CMPT856 Lec.4--Category of CSet instances&homomorphisms, and their structures, category of elements
26:40
ABM illustrating tipping points, lock-in effects,population health&health service delivery coupling
36:44
CMPT 394/858: First hands-on glimpse of stocks&flows and stability-inducing balancing feedback loops
1:15:04
CMPT856 Lec.3--Homomorphisms between discrete dynamical systems encoded as C-Sets in Catlab & Theory
1:15:17
CMPT856 Lec.2--Hands-on homomorphisms (Structure-preserving maps) between C-Sets in Catlab & Theory
46:24
CMPT 394/858: Illustration of ABM structure determines behaviour, investigating interventions
1:29:51
CMPT856 Categorical Modeling & Simulation Lecture 1: Exploring C-Set basics, theory and in Catlab
11:06
Closing Remarks of the ABM & Hybrid Modeling Bootcamp 2024
17:06
A Glimpse of Calibration in Agent-Based Models
1:44:44
Introducing AnyLogic mechanisms for stochastic sensitivity analysis and Histogram2D output in an ABM
29:28
Adding age & births to smoking & heart disease ABM and scatterplot of age vs cumulative years smoked
1:01:37
Initial smoking state distrib.,age-specific initiation&scatterplot in parameter variation experiment
1:41:24
Models for Theory Building vs for Theory Explication: Stylized and empirically grounded models
20:40
Model omissions can preserve DIFFERENCES in outcomes between scenarios better than scenario outcomes
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