Opponent modeling is a technique in computer game-playing which attempts to create a model of an opponent’s strategy. This model can then be used to predict the opponent’s future actions. This paper attempts to apply opponent modeling to the commercial card game Machiavelli, a game containing imperfect information. Neural networks are used to build the models. These neural networks are trained ...

Dialog evaluation is a challenging problem, especially for non task-oriented dialogs where conversational success is not well-defined. We propose to evaluate dialog quality using topic-based metrics that describe the ability of a conversational bot to sustain coherent and engaging conversations on a topic, and the diversity of topics that a bot can handle. To detect conversation topics per utte...

The WWW has seen massive growth in population of automated programs (bots) for a variety of exploits on online social networks (OSNs). In this paper we extend on our previous work to study the affects of bots on Twitter. By setting up a bot account on Twitter and conducting analysis on a click logs dataset from our web server, we show that despite bots being in smaller numbers, they exercise a ...

The networks of compromised and remotely controlled computers (bots) are widely used in many Internet fraudulent activities, especially in the distributed denial of service attacks. Brute force gives enormous power to bot masters and makes botnet traffic visible; therefore, some countermeasures might be applied at early stages. Our study focuses on detecting botnet propagation via public websit...

Abstract While previous research has mostly focused on the “number of mentions” scientific social media, current study applies “topic networks” to measure public attention Twitter. Topic networks are co-occurring author keywords in scholarly publications and hashtags tweets mentioning those publications. We investigate which topics opioid have received Additionally, we whether topic generated f...

A continuous human breast tumor cell line (BOT-2) was derived from an infiltrating duct carcinoma. The tumor cell line was grown as a monolayer in flasks, but the cells could be readily adapted to growth in roller cultures. These studies indicate that BOT-2 cells have a 16- to 18-hr doubling time and a modal chromosomal number of 63. The original BOT-2 cell culture has been in continuous cultiv...

the aim of this study was to determine the prognosis and survival for patients with borderlineovarian tumor (bot). a retrospective review of 30 patients with serous andmucinous bot treated at or referred to our institution was performed. fifteenpatients (50%) had serous, and the others had mucinous bot. about 86% of allpatients in both groups were in stage i of the disease. the recurrent diseas...

We present a new robotic concept, called SWARM-BOT, based on a swarm of small and simple autonomous mobile robots called S-BOTs. S-BOTs have a particular assembling capability that allows them to connect physically to other S-BOTs and form a bigger robot entity, the SWARM-BOT. A SWARM-BOT is typically composed by 10 to 30 S-BOTs physically interconnected. S-BOTs can autonomously assemble into a...

This paper discuss the problems identified in admission guidance process conducted by Government Agency where students, parents and other stakeholders of do not understand complicated language used policy documents misinformed lack knowledge. problem can be reduced creation development an Auto-Reply Bot designed to reduce human efforts provide automated solutions queries related process. For th...