As a result of a report suggesting an unacceptably high incidence (2%) of awareness during endotracheal intubation, two groups of patients were anaesthetized in a standard manner using a rapid induction technique. In one group of 38 patients anaesthesia was induced with thiopentone 3 mg/kg and in the other group of 39 patients anaesthesia was induced with ketamine 2 mg/kg. Suxamethonium 1 mg/kg...

The last decade, the computers world became a huge wave of data. Data mining tasks were invoked to tackle this problem in order to extract the interesting knowledge. The recent emergence of some data mining techniques provide also many interesting induction rules. So, it is judicious now to process these induction rules in order to extract some new strong patterns called meta-rules. This work e...

Background: The present study aims at comparing efficacy and safety of two different regimens induction labour (IOL) in pregnancies with fetal demise.
 Settings Design: A randomised controlled trial was conducted on 100 eligible pregnant women diagnosed intrauterine demise who were admitted the ward a tertiary care hospital.
 Methods: All participants randomly divided into groups grou...

An intelligent agent embedded within the real world must reason about an environment which is larger than the agent, and learn how to achieve goals in that environment. We discuss attempts to formalize two problems: one of induction, where an agent must use sensory data to infer a universe which embeds (and computes) the agent, and one of interaction, where an agent must learn to achieve comple...

How will agents behave when bargaining in the face of an upcoming deadline? If irrational types exist, committed to their bargaining positions, rational agents will imitate this tough behavior to gain reputational benefits, even though this may result in the deadline being missed. Notably, if agents are patient and irrational types are committed to fixed demands then agreement must necessarily ...

Designing and planning in multiagent systems (MAS) can be an example of planning problems, which has been recently known as a powerful processing tool in transactional and interactional environments. Case-based planning (CBP) which is an induction-based mechanism, has many applicational abilities in these problems. Intelligent tutoring system that have kept the most attention in the computation...

Argumentation can be used by a group of agents to discuss about the validity of hypotheses. In this paper we propose an argumentation-based framework for multiagent induction, where two agents learn separately from individual training sets, and then engage in an argumentation process in order to converge to a common hypothesis about the data. The result is a multiagent induction strategy in whi...

This paper contains a proposal of application of rule induction for generating agent strategy. This method of learning is tested on predator-prey domain, in which predator agents learn how to capture preys. However, we assume that proposed learning mechanism will be beneficial in all domains, in which agents can determine direct results of their actions. Experimental results show that learning ...

Increasing widespread use of educational technologies is producing vast amounts of data. Such data can be used to help advance our understanding of student learning and enable more intelligent, interactive, engaging, and effective education. In this paper, we discuss the status and prospects of this new and powerful opportunity for data-driven development and optimization of educational technol...

Feature Based Modelling has demonstrated the ability to produce agent models with high accuracy in predicting an agent's future actions. There are a number of respects in which this modelling technique is novel. However, there has been no previous analysis of which aspects of the approach are responsible for its performance. One distinctive feature of the approach is a purpose built induction m...