BIM-Tool: Modeling and Reasoning Support for Strategic Business Models
Bibliographic record
Abstract
Abstract. The BIM-Tool provides graphical modeling and analysis support for the Business Intelligence Model (BIM). BIM-Tool is a standalone application built on top of Eclipse. The tool supports two kinds of automated reasoning: (1) bottom-up “what-if ” analysis: given input labels about some elements of a BIM model (for example, success/failure for leaf goals), do these propagate to other elements in the model?; and (2) top-down “is it possible? ” analysis: is there a plan that leads to the satisfaction of goals, occurence/non-occurence of situations? BIM-Tool answers these questions through an encoding of BIM models in disjuntive datalog programs. 1 The Business Intelligence Model The Business Intelligence Model (BIM) [1,2] is a goal-oriented language for modeling organizational strategies. BIM relies on a set of modeling primitives that decision makers are familiar with, such as goal, task/process, indicator, situation, and influence relations among them. BIM is intended to support the notions from SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis by modeling the internal and externals factors (situations) that are (un)favorable for fulfilling strategic business goals. Some of the primitives of BIM (goals, tasks, refinement) are adopted from i*. Unlike i*, BIM does not support strategic dependencies, for BIM focuses on the high-level strategic goals of the organization, and does not ascribe goals to specific actors. BIM does not distinguish between hard- and soft-goals; rather, it includes measurable indicators that determine the degree of satisfaction of goals. BIM is endowed with a formal semantics [3] that enables a variety of automatic reasoning techniques [2]: (i) goal analysis (both top-down and bottom-up), (ii) probabilistic evaluation of strategies, and (iii) reasoning with composite and qualitative indicators. 2 BIM-Tool The BIM-Tool aims to provide a comprehensive graphical modeling and analysis support for BIM. BIM-Tool is a standalone Rich Client Platform application built on top of Eclipse that exploits the Eclipse Graphical Modeling Project (GMP) framework 1
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| 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".