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added papers on virtual informal education
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@rosavitiello
rosavitiello committed May 21, 2024
1 parent 05067ca commit c28dfa1
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Showing 5 changed files with 451 additions and 82 deletions.
158 changes: 79 additions & 79 deletions components/data/chartData.tsx
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Original file line number Diff line number Diff line change
Expand Up @@ -2,64 +2,64 @@ export const bar_data = [
{
name: 'Text',
overall: 163,
collaboration: 22,
collaboration: 24,
competition: 9,
mixed_objectives: 54,
mixed_objectives: 56,
text: 163,
embodied: 7,
virtual: 24,
robotics: 5,
two_agents: 56,
two_agents: 58,
reinforcement_learning: 21,
agents_with_personas: 24,
human: 88,
human: 92,
not_applicable: 148,
rule_based: 56,
more_than_three_agents: 33,
rule_based: 60,
more_than_three_agents: 35,
more_information_asymmetrical: 2,
prompting_and_in_context_learning: 47,
qualitative: 35,
human_agent: 56,
implicit_objectives: 18,
finetuning: 36,
agents_with_memory: 16,
more_omniscient: 3,
more_omniscient: 7,
pretraining: 18,
model_based: 45,
simulated_humans: 14,
agent_teams: 6,
health: 18,
education: 4,
education: 8,
policy: 11,
},
{
name: 'Virtual',
overall: 95,
virtual: 95,
prompting_and_in_context_learning: 42,
rule_based: 84,
rule_based: 89,
not_applicable: 52,
mixed_objectives: 38,
two_agents: 32,
mixed_objectives: 41,
two_agents: 37,
qualitative: 22,
human: 39,
human: 44,
human_agent: 35,
more_omniscient: 21,
more_omniscient: 26,
simulated_humans: 26,
finetuning: 21,
embodied: 4,
reinforcement_learning: 17,
implicit_objectives: 12,
agents_with_memory: 9,
pretraining: 1,
collaboration: 12,
collaboration: 14,
competition: 6,
agent_teams: 9,
more_than_three_agents: 13,
more_than_three_agents: 16,
fully_omniscient: 1,
health: 3,
model_based: 4,
education: 20,
education: 25,
robotics: 1,
agents_with_personas: 1,
},
Expand Down Expand Up @@ -132,29 +132,29 @@ export const area_data = [
human: 1,
rule_based: 1,
human_agent: 1,
agents_with_personas: 0,
fully_omniscient: 0,
health: 0,
pretraining: 0,
not_applicable: 0,
education: 0,
qualitative: 0,
more_omniscient: 0,
implicit_objectives: 0,
two_agents: 0,
policy: 0,
finetuning: 0,
simulated_humans: 0,
model_based: 0,
education: 0,
more_information_asymmetrical: 0,
competition: 0,
text: 0,
prompting_and_in_context_learning: 0,
model_based: 0,
two_agents: 0,
agent_teams: 0,
prompting_and_in_context_learning: 0,
agents_with_personas: 0,
qualitative: 0,
agents_with_memory: 0,
more_than_three_agents: 0,
fully_omniscient: 0,
policy: 0,
virtual: 0,
more_omniscient: 0,
text: 0,
embodied: 0,
finetuning: 0,
competition: 0,
health: 0,
more_than_three_agents: 0,
implicit_objectives: 0,
not_applicable: 0,
},
{
name: '2016',
Expand All @@ -176,18 +176,18 @@ export const area_data = [
more_than_three_agents: 1,
model_based: 1,
education: 1,
fully_omniscient: 0,
health: 0,
pretraining: 0,
not_applicable: 0,
more_omniscient: 0,
implicit_objectives: 0,
policy: 0,
simulated_humans: 0,
more_information_asymmetrical: 0,
prompting_and_in_context_learning: 0,
agent_teams: 0,
prompting_and_in_context_learning: 0,
agents_with_memory: 0,
fully_omniscient: 0,
policy: 0,
more_omniscient: 0,
health: 0,
implicit_objectives: 0,
not_applicable: 0,
},
{
name: '2017',
Expand All @@ -204,23 +204,23 @@ export const area_data = [
robotics: 1,
qualitative: 1,
human: 1,
pretraining: 0,
simulated_humans: 0,
education: 0,
more_information_asymmetrical: 0,
model_based: 0,
agent_teams: 0,
prompting_and_in_context_learning: 0,
agents_with_personas: 0,
collaboration: 0,
fully_omniscient: 0,
health: 0,
pretraining: 0,
education: 0,
more_omniscient: 0,
implicit_objectives: 0,
policy: 0,
more_omniscient: 0,
embodied: 0,
finetuning: 0,
simulated_humans: 0,
model_based: 0,
more_information_asymmetrical: 0,
prompting_and_in_context_learning: 0,
agent_teams: 0,
health: 0,
more_than_three_agents: 0,
embodied: 0,
implicit_objectives: 0,
},
{
name: '2018',
Expand Down Expand Up @@ -251,9 +251,9 @@ export const area_data = [
education: 1,
more_omniscient: 1,
pretraining: 0,
policy: 0,
more_information_asymmetrical: 0,
agent_teams: 0,
policy: 0,
},
{
name: '2019',
Expand All @@ -279,44 +279,44 @@ export const area_data = [
agent_teams: 1,
model_based: 1,
health: 1,
fully_omniscient: 0,
pretraining: 0,
education: 0,
more_omniscient: 0,
policy: 0,
simulated_humans: 0,
education: 0,
more_information_asymmetrical: 0,
agents_with_memory: 0,
fully_omniscient: 0,
policy: 0,
more_omniscient: 0,
},
{
name: '2020',
text: 18,
mixed_objectives: 8,
more_than_three_agents: 5,
mixed_objectives: 9,
more_than_three_agents: 6,
model_based: 10,
human_agent: 11,
collaboration: 5,
rule_based: 16,
rule_based: 17,
not_applicable: 25,
finetuning: 6,
agents_with_personas: 1,
qualitative: 5,
human: 17,
human: 18,
embodied: 4,
reinforcement_learning: 6,
simulated_humans: 3,
virtual: 9,
prompting_and_in_context_learning: 1,
robotics: 5,
fully_omniscient: 1,
two_agents: 8,
two_agents: 9,
pretraining: 4,
competition: 1,
implicit_objectives: 1,
health: 2,
policy: 1,
education: 1,
more_omniscient: 1,
education: 2,
more_omniscient: 2,
more_information_asymmetrical: 0,
agent_teams: 0,
agents_with_memory: 0,
Expand Down Expand Up @@ -349,10 +349,10 @@ export const area_data = [
more_omniscient: 1,
agents_with_personas: 1,
prompting_and_in_context_learning: 1,
fully_omniscient: 0,
pretraining: 0,
more_information_asymmetrical: 0,
agents_with_memory: 0,
fully_omniscient: 0,
},
{
name: '2022',
Expand Down Expand Up @@ -384,28 +384,28 @@ export const area_data = [
education: 6,
policy: 2,
more_omniscient: 2,
fully_omniscient: 0,
more_information_asymmetrical: 0,
fully_omniscient: 0,
},
{
name: '2023',
collaboration: 25,
embodied: 25,
prompting_and_in_context_learning: 55,
more_than_three_agents: 20,
rule_based: 68,
more_than_three_agents: 21,
rule_based: 69,
not_applicable: 81,
text: 53,
implicit_objectives: 18,
finetuning: 22,
human: 52,
human: 53,
human_agent: 42,
reinforcement_learning: 18,
competition: 6,
two_agents: 39,
mixed_objectives: 36,
two_agents: 40,
mixed_objectives: 37,
agents_with_memory: 17,
more_omniscient: 10,
more_omniscient: 11,
qualitative: 23,
simulated_humans: 25,
virtual: 31,
Expand All @@ -417,31 +417,31 @@ export const area_data = [
fully_omniscient: 1,
health: 7,
policy: 2,
education: 7,
education: 8,
more_information_asymmetrical: 0,
},
{
name: '2024',
collaboration: 11,
collaboration: 13,
competition: 4,
mixed_objectives: 27,
mixed_objectives: 30,
text: 34,
embodied: 7,
virtual: 35,
robotics: 10,
two_agents: 22,
two_agents: 25,
reinforcement_learning: 7,
agents_with_personas: 5,
human: 33,
human: 38,
not_applicable: 50,
rule_based: 41,
more_than_three_agents: 11,
rule_based: 46,
more_than_three_agents: 14,
more_information_asymmetrical: 2,
prompting_and_in_context_learning: 46,
qualitative: 17,
human_agent: 26,
finetuning: 19,
more_omniscient: 7,
more_omniscient: 12,
pretraining: 8,
simulated_humans: 13,
fully_omniscient: 1,
Expand All @@ -450,7 +450,7 @@ export const area_data = [
agent_teams: 8,
implicit_objectives: 8,
model_based: 19,
education: 7,
education: 12,
policy: 3,
},
];
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