We study private expansion and revision operators in a multi-agent setting. More precisely, we study the changes induced by a new piece of information made available to only one agent in a KD45n model. We point out a translation of AGM expansion and revision postulates to this setting, and define specific expansion and revision operators.

In this paper we model knowledge dynamics in agents’ belief bases in a collaborative multiagent system. Four change operators are introduced: expansion, contraction, prioritized revision, and non-prioritized revision. For all of them, both constructive definitions and an axiomatic characterization by representation theorems are given. We formally justify minimal change, consistency maintenance,...

This paper presents a novel incremental algorithm that combines Q-learning, a well-known dynamic programming-based reinforcement learning method, with the TD() return estimation process, which is typically used in actor-critic learning, another well-known dynamic programming-based reinforcement learning method. The parameter is used to distribute credit throughout sequences of actions, leading ...

OBJECTIVES The aim of this study was to evaluate the immunoexpression of TWIST and p-Akt proteins in oral leukoplakia (OL) and oral squamous cell carcinoma (OSCC), correlating their expressions with the histological features of the lesions. STUDY DESIGN Immunohistochemical studies were carried out on 10 normal oral epithelium, 30 OL and 20 OSCC formalin-fixed, paraffin-embedded tissue samples...

Oral leukoplakia is a common potentially malignant oral lesion. Most scholars consider that its cancerization follows a multistep process of gradual progression. If surveillance and assessment could be performed at earlier stages to assess the risk of cancerization, the probability of malignancy would obviously be reduced. In this paper, we report on a patient with cancerous oral leukoplakia in...

The aim of this work is to estimate dense displacement fields over long video shots. Put in sequence they are useful for representing point trajectories but also for propagating (pulling) information from a reference frame to the rest of the video. Highly elaborated optical flow estimation algorithms are at hand, and they were applied before for dense point tracking by simple accumulation, howe...

STEP 1: STATE THE PROPOSAL. Revision to current statement. Existing guideline, practice or training activity, or new guideline: Revision to current guideline Check the blood glucose level during stabilization after resuscitation Step 1A: Refine the question; state the question as a positive (or negative) hypothesis. State proposed guideline recommendation as a specific, positive hypothesis. Use...