Chloe Atwater
Biographic Data
| ID | 3808327 |
|---|---|
| NAME | Chloe Atwater |
| GIVEN NAMES | Chloe |
| FAMILY NAME | Atwater |
| SIGNATURE | ATWATER C |
| AFFILIATIONS | Arizona State University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 29 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 1 |
An agent-based approach to weighted decision making in the spatially and temporally variable South African Palaeoscape
Even a simple human foraging system has a large number of moving parts. Foragers require a complex decision making process to effectively exploit the spatially and temporally variable resources in an environment. Here we present an agent-based modelling framework, based in optimal foraging theory, for agent foragers to make mobility and foraging decisions by weighing expected caloric returns against geographic and social factors, and forecasted f…
Return rates from intertidal foraging from Blombos Cave to Pinnacle Point
Return rates from intertidal foraging from Blombos Cave to Pinnacle Point
An agent-based approach to weighted decision making in the spatially and temporally variable South African Palaeoscape
Even a simple human foraging system has a large number of moving parts. Foragers require a complex decision making process to effectively exploit the spatially and temporally variable resources in an environment. Here we present an agent-based modelling framework, based in optimal foraging theory, for agent foragers to make mobility and foraging decisions by weighing expected caloric returns against geographic and social factors, and forecasted f…
Return rates from intertidal foraging from Blombos Cave to Pinnacle Point
An agent-based approach to weighted decision making in the spatially and temporally variable South African Palaeoscape
Even a simple human foraging system has a large number of moving parts. Foragers require a complex decision making process to effectively exploit the spatially and temporally variable resources in an environment. Here we present an agent-based modelling framework, based in optimal foraging theory, for agent foragers to make mobility and foraging decisions by weighing expected caloric returns against geographic and social factors, and forecasted f…
Archaeology and ancient environmental studies (2 works) · Biology (2 works) · Ecology (2 works) · Foraging (2 works) · Geography (2 works) · Pleistocene-Era Hominins and Archaeology (2 works) · Archaeology and Rock Art Studies (1 work) · Artificial Intelligence (1 work) · Cave (1 work) · Computer Science (1 work)