Agent-Based Integration of Collaborative Mobile Environment and Smartboard
Bibliographic record
Abstract
Ubiquitous computing is a new emerging computing style which adapts various computing devices throughout our living and working spaces. These devices include mobile devices (such as PDAs, smartphones), traditional desktop, smart-board and so on. Mobile devices coordinate with each other and network services seamlessly, yet they are often inactive and even when in use they are most of the time disconnected from the network, which severely limits their use for ubiquitous interaction with the environment’s entities. In this paper we study the integration of Collaborative Mobile Environment (CoMoE) and interactive devices such as smart-board to overcome the pervious problems. The focus of this work is on the development of the integration architectural framework. This architectural framework is based on Coordinated Intelligent Rational Agent (CIR-Agent) model, which supports sophisticated real-time interaction among agents. Also we discuss the notion of personal assistant agents that allows the physical integration and interoperability of entities in an environment and in the same time provides assistance in achieving user’s goals.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".