An Enchantment of Digital Archaeology: Raising the Dead with Agent-Based Models, Archaeogaming and Artificial Intelligence, by Shawn Graham

2021 ◽  
Author(s):  
Kevin Garstki
Keyword(s):  
Artificial Intelligence ◽  
Agent Based Models ◽  
Agent Based ◽  
Digital Archaeology ◽  
The Dead

An Enchantment of Digital Archaeology: Raising the Dead with Agent-Based Models, Archaeogaming and Artificial Intelligence

2020 ◽  
Author(s):  
Shawn Graham ◽  
Keyword(s):  
Artificial Intelligence ◽  
Video Games ◽  
Unintended Consequences ◽  
Agent Based Models ◽  
Roman Archaeology ◽  
Agent Based ◽  
Agent Based Modelling ◽  
The Past ◽  
Digital Archaeology ◽  
The Dead

The use of computation in archaeology is a kind of magic, a way of heightening the archaeological imagination. Agent-based modelling allows archaeologists to test the ‘just-so’ stories they tell about the past. It requires a formalization of the story so that it can be represented as a simulation; researchers are then able to explore the unintended consequences or emergent outcomes of stories about the past. Agent-based models are one end of a spectrum that, at the opposite side, ends with video games. This volume explores this spectrum in the context of Roman archaeology, addressing the strengths, weaknesses, and opportunities of a formalized approach to computation and archaeogaming.

scholarly journals Simulating exposure-related behaviors using agent-based models embedded with needs-based artificial intelligence

2018 ◽  
Vol 30 (1) ◽  
pp. 184-193 ◽  
Author(s):  
Namdi Brandon ◽  
Kathie L. Dionisio ◽  
Kristin Isaacs ◽  
Rogelio Tornero-Velez ◽  
Dustin Kapraun ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Agent Based Models ◽  
Agent Based

scholarly journals Agent Based Models of Polymicrobial Biofilms and the Microbiome—A Review

2021 ◽  
Vol 9 (2) ◽  
pp. 417
Author(s):  
Sherli Koshy-Chenthittayil ◽  
Linda Archambault ◽  
Dhananjai Senthilkumar ◽  
Reinhard Laubenbacher ◽  
Pedro Mendes ◽  
...  
Keyword(s):  
Species Interactions ◽  
Computational Models ◽  
Human Microbiome ◽  
Agent Based Modeling ◽  
Autonomous Agent ◽  
Agent Based Models ◽  
Agent Based ◽  
Complex Interactions ◽  
Mucosal Surfaces ◽  
Living Organisms

The human microbiome has been a focus of intense study in recent years. Most of the living organisms comprising the microbiome exist in the form of biofilms on mucosal surfaces lining our digestive, respiratory, and genito-urinary tracts. While health-associated microbiota contribute to digestion, provide essential nutrients, and protect us from pathogens, disturbances due to illness or medical interventions contribute to infections, some that can be fatal. Myriad biological processes influence the make-up of the microbiota, for example: growth, division, death, and production of extracellular polymers (EPS), and metabolites. Inter-species interactions include competition, inhibition, and symbiosis. Computational models are becoming widely used to better understand these interactions. Agent-based modeling is a particularly useful computational approach to implement the various complex interactions in microbial communities when appropriately combined with an experimental approach. In these models, each cell is represented as an autonomous agent with its own set of rules, with different rules for each species. In this review, we will discuss innovations in agent-based modeling of biofilms and the microbiota in the past five years from the biological and mathematical perspectives and discuss how agent-based models can be further utilized to enhance our comprehension of the complex world of polymicrobial biofilms and the microbiome.

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