Analogy-based Story Generation (ASG) is a relatively under-explored approach for story generation and computational narrative. In this paper, we present the SAM (Story Analogies through Mapping) algorithm as our attempt to expand the scope and complexity of stories generated by ASG. Comparing with existing work and our prior work, there are two main contributions of SAM: it employs 1) analogica...

Wind power generation increases rapidly. The available wind energy depends on the wind speed, which is a random variable. For the wind-farm operator, this poses difficulty in the system scheduling and energy dispatching, as the schedule of the wind-power availability is not known in advance. In this research, we propose an intelligent technique for forecasting wind speed and power output of win...

This work investigates linguistically motivated features for automatically scoring a spoken picture-based narration task. Specifically, we build scoring models with features for story development, language use and task relevance of the response. Results show that combinations of these features outperform a baseline system that uses state of the art speechbased features, and that best results ar...

The use of story cards for user stories in many Extreme Programming software development projects has been widespread. Several popular traditional methods for story cards (e.g., Cohen M, Kent B) have been used in successful fashion at some extent, but all lack of the powerful features for story cards guidelines, right sort of information on story cards and quality of user stories on story cards...

This paper describes the development of an expert casebased character director system which dynamically generates and controls a story, which is played out in a multiplayer networked game world. The system handles multiple users in a game world and directs the non player characters therein to perform for the users parallel storylines, interweaving character roles in each story. The story is tol...

In this paper, we propose an event words based method for story link detection. Different from previous studies, we use time and places to label nouns and named entities, the featured nouns/named entities are called event words. In our approach, a document is represented by five dimensions including nouns/named entities, time featured nouns/named entities, place featured nouns/named entities, t...

A computational model of inference during story comprehension is presented, in which story situations are represented distributively as points in a high-dimensional “situation-state space.” This state space organizes itself on the basis of a constructed microworld description. From the same description, causal/temporal world knowledge is extracted. The distributed representation of story situat...

Providing compelling, realistic, immersive game worlds is one of the major goals in modern game design. The presence of unique and interesting dialogue for all of the characters in a game enhances this sense of immersion. In this paper we present the concept of an “Intentional Dialogue Line” that supports the efficient generation of multiple variations of a dialogue, where these variations are ...

Student modeling (SM) is recognized as one of the central problems in the area of Intelligent Tutoring Systems. Numerous SM approaches have been proposed and used with more or less success. Constraint-based modeling is a new approach, which has been used successfully in three tutors developed in our group. The approach is extremely efficient, and it overcomes many problems that other student mo...

objectives: the purpose of the present study is to investigate the oral narrative skills of late talkers mostly caused by mental disorders while they try to comprehend a wordless sequential picture story to create and narrate the relevant story. methods: to this end, 15 (10 male and 5 female) participants were who were the students of a specialized school for physically and mentally retarded st...