The Development of Agent Based Modeling Framework For Simulating Disaster Response Teamwork.
Bibliographic record
Abstract
Abstract- The humans and their environmental health safety has always become the most important aspect in human life’s especially in towards the issues of the effects/threats of vulnerable risk, which causes devastation/destruction to humans health and their ecological regions such as disaster which is a hazard. A disaster is a consequences combination of a natural or artificial hazards and as well human factors that were vulnerable to be caused by the lack of in appropriate disaster management plans, which yield as well leads to financial, infrastructural, economical, social and human damages or destructions. Teamwork has always becoming massively important in the organizations due to its beneficial outcomes. Although a team performance levels were been determined by the complexity of interactions between the attributes of its individual members, the communication and dynamics between team’s members, the working environment, and the team’s working tasks. As the organizations evolved, so too does their interactive nature of the team working. During the past two decades, the field development in some agencies and organizations has become increasingly been undertaken by the integrated product unit teams. Such increasing complexity means that the interactive nature of the research methods for studying teamwork must also evolved as a good research area of study. Accordingly, this paper highlight and proposes the used of an agent-based modeling (ABS) concept of approach for simulating teamwork within a disaster environment, this informed by the research conducted on organizational units and their simulating agents. The model parameters concept includes the number of agent variables behavior at each levels, i.e individual level (competency, motivation, availability,
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".