Algorithmic Decision-Making in Difficult Scenarios
DOI:
https://doi.org/10.1609/aaaiss.v3i1.31285Keywords:
Algorithmic Decision-making, Explainable Case-Based Reasoning (ECBR), Counterfactual Analysis, Heuristic Decision Strategies, Event-Based Diagnosis, Decision Justifications, Subjective Decision AttributesAbstract
We present an approach to algorithmic decision-making that emulates key facets of human decision-making, particularly in scenarios marked by expert disagreement and ambiguity. Our system employs a case-based reasoning framework, integrating learned experiences, contextual factors, probabilistic reasoning, domain-specific knowledge, and the personal traits of decision-makers. A primary aim of the system is to articulate algorithmic decision-making as a human-comprehensible reasoning process, complete with justifications for selected actions.Downloads
Published
2024-05-20
Issue
Section
Symposium on Human-Like Learning