{"title":"Augmenting conversational environment","authors":"T. Nishida","doi":"10.4018/jcini.2012100105","DOIUrl":"https://doi.org/10.4018/jcini.2012100105","url":null,"abstract":"People are very proficient in collaboratively forming and maintaining gatherings thereby shaping and cultivating collective thoughts through fluent interactions. A big challenge is to develop a technology for augmenting the conversational environment so that people can conduct even better conversational interactions for collective intelligence and creation. Conversational informatics is a field of research that focuses on investigating conversational interactions and designing artifacts that can interact with people in a conversational fashion. The field draws on a foundation provided by artificial intelligence, natural language processing, speech and image processing, cognitive science, and conversation analysis. In this article, I will discuss the opportunity and challenges in an engineering approach to conversational informatics. I will focus on an immersive interaction environment that not only serves as an augmented environment for conversation but also allows us to synthesize conversational artifacts. I also discuss issues for making agents empathic so that they can induce sustained and constructive engagement with people.","PeriodicalId":427778,"journal":{"name":"2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116686378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On formal models for cognitive linguistics","authors":"Yingxu Wang, R. Berwick","doi":"10.1109/ICCI-CC.2012.6311169","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2012.6311169","url":null,"abstract":"Cognitive linguistics is an emerging discipline that studies the cognitive properties of natural languages and the cognitive models of languages in computational linguistics, cognitive computing, and computational intelligence. This paper presents the theoretical framework of cognitive linguistics in order to systematically formalize the syntaxes and grammars of natural languages. An abstract language model of cognitive linguistics is created at the top level. Based on it, the cognitive structures of languages at the levels of lexis, phrase, clauses, sentence, paragraph, and essay are formally modeled from the bottom up. Using contemporary denotational mathematics, the deductive grammar of English is formally modeled and rigorously analyzed. The basic research provides support for a wide range of applications in computational linguistics, cognitive informatics, online text processing, web search engines, machine language comprehension, autonomous machine learning, smart cell phones, semantic computing, and computing with words.","PeriodicalId":427778,"journal":{"name":"2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126466381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Denotatum-based models of knowledge creation for monitoring and evaluating R&D program implementation","authors":"I. Zatsman, Pavel Buntman","doi":"10.4018/ijssci.2013010102","DOIUrl":"https://doi.org/10.4018/ijssci.2013010102","url":null,"abstract":"The paper presents two semiotic models for a description of development stages of indicators, including generation microprocesses of expert knowledge about developed indicators. For the description of stages of these microprocesses, a new notion of “Frege's space” is introduced. A related example is an application of two semiotic models to knowledge acquisition for an expert knowledge base named the proactive dictionary, which is a component of an evaluation system. This dictionary enables experts to fix stages of indicators development, to present the results of developing different variants of indicators in graphic form, to compare and evaluate these variants.","PeriodicalId":427778,"journal":{"name":"2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129431860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cameron McMunn-Coffran, Elena Paolercio, Yu-lian Fei, D. Hsu
{"title":"Combining multiple visual cognition systems for joint decision-making using combinatorial fusion","authors":"Cameron McMunn-Coffran, Elena Paolercio, Yu-lian Fei, D. Hsu","doi":"10.1109/ICCI-CC.2012.6311167","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2012.6311167","url":null,"abstract":"Cognitive decision-making based on visual sensory input has been a topic of intensive interest. When combining these visual cognition systems, three models of strategy have been proposed and widely used: M<sub>1</sub>: simple average, M<sub>2</sub>: weighted average using σ, and M<sub>3</sub>: weighted average using σ<sup>2</sup>. In this paper, we extend each visual cognition system to a scoring system using combinatorial fusion analysis, a framework which has proven effective for the optimization of multiple evaluation methods in several other computational domains. Ten experiments on two visual systems each are conducted. M<sub>1</sub>, M<sub>2</sub>, M<sub>3</sub>, and combinatorial fusion on M<sub>1</sub> are computed. Our two main results are: (a) Six of the ten experiments show performance order M<sub>1</sub> >; M<sub>2</sub> >; M<sub>3</sub> while the other four experiments exhibit the opposite order; (b) Combinatorial fusion based on M<sub>1</sub> performs better than M<sub>1</sub> in eight of the ten experiments. It is demonstrated that Combinatorial Fusion Analysis is useful in the study of visual cognition. Our results exhibit a new method to better analyze and make joint decisions in visual cognition using Combinatorial Fusion Analysis.","PeriodicalId":427778,"journal":{"name":"2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114887486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparing similarity of concepts identified by temporal patterns of terms in biomedical research documents","authors":"S. Tsumoto, H. Abe","doi":"10.1007/978-3-642-31900-6_30","DOIUrl":"https://doi.org/10.1007/978-3-642-31900-6_30","url":null,"abstract":"","PeriodicalId":427778,"journal":{"name":"2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122807416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Emotion recognition system design using multi-physiological signals","authors":"Huiping Jiang, Guosheng Yang, X. Gui, Naiyu Wu, Ting Zhang","doi":"10.1109/ICCI-CC.2012.6311199","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2012.6311199","url":null,"abstract":"A physiological signal-based emotion recognition system was designed. The system was developed to operate as a use r-independent system, based on three physiological signals databases obtained from multiple ethnic objections. The input signals were EEG, eye activity and facial expressions, all of which were acquired synchronous. The whole system will be comfort from the subjects' body surface, and can reflect the influence of emotion on the autonomic nervous system. The system consisted of preprocessing, feature extraction and pattern classification stages. Preprocessing and feature extraction methods were devised so that emotion-specific characteristics could be extracted.","PeriodicalId":427778,"journal":{"name":"2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115652457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exploring egocentric biases in human cognition: An analysis using multiple conversational agents","authors":"Yugo Hayashi, Shin Takii, Rina Nakae, Hitoshi Ogawa","doi":"10.1109/ICCI-CC.2012.6311163","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2012.6311163","url":null,"abstract":"The present study investigates the nature of egocentric biases in a situation where a speaker is surrounded by social actors with different perspectives. In this context, we investigated how communication channels function to ease egocentric bias during collaborative activities. To investigate this point, we used conversational agents as social actors. The present study therefore created a virtual situation where a speaker was surrounded by several speakers. We hypothesized that the diversity of communication channels available to the audience would increase the awareness of others and facilitate the adoption of an exocentric perspective. The results of the analysis show that participants who engaged in the collaboration task with various communication channels used fewer egocentric perspectives. Studies in egocentrism and communication have not yet investigated the conversational dynamics of multiple speakers. This study therefore provides a new perspective about the kinds of factors that may ease such biases.","PeriodicalId":427778,"journal":{"name":"2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133644179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A kind of web service recommendation method based on improved hybrid collaborative filtering","authors":"Yali Li, Shanliang Pan, Huang Xi","doi":"10.1109/ICCI-CC.2012.6311133","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2012.6311133","url":null,"abstract":"Similar to product recommendation used in e-commerce sites and other fields, the recommendation of web service often take advantage of the history invocation information of users and services (denotes as QoS, Quality of service) to predict the unknown QoS value and then recommend web services to the active user with the best QoS. In order to adapt to the complex and changeful prediction occasions of QoS value of web service, this paper presents a hybrid collaborative filtering approach for the recommendation of web service by combining user-based collaborative filtering algorithm (UBCF) and item-based collaborative filtering algorithm(IBCF). This hybrid method consider the personalization of invocation information of users and services in the net while using Pearson Correlation Coefficient (PCC) to measure the similarity of two users or two services and adaptively balance the weigh of UBCF and IBCF while recommending services to the active user. Finally, though the experimental data provided by [12], we conduct a set of experiments and the results show that our proposed improved hybrid collaborative filtering algorithm had improved the accuracy of recommendation.","PeriodicalId":427778,"journal":{"name":"2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing","volume":"381 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128253454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Scheduling flexible job shop in dynamic environment based on a memetic algorithm","authors":"Liping Zhang, Xinyu Li, Long Wen, Guohui Zhang","doi":"10.1109/ICCI-CC.2012.6311181","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2012.6311181","url":null,"abstract":"Scheduling for the flexible job shop scheduling problem is very important in the fields of production management and combinatorial optimization. However, in most real manufacturing environment, schedules are usually inevitable with the presence of a variety of unexpected disruptions. This paper proposes an efficient memetic algorithm to solve the flexible job shop scheduling problem with random job arrivals. Firstly, a periodic policy is presented to up date the problem condition and generate the rescheduling point. Secondly, the efficient memetic algorithm with a new local search procedure is proposed to optimize the problem in each rescheduling point. The new local search uses five kinds of neighborhood structures. Otherwise, the performance measures investigated respectively are: minimization of the makespan and minimization of the mean tardiness. Moreover, several experiments have been designed to test and evaluated the performance of the memetic algorithm. The experimental results show that the proposed algorithm is efficient with respect to bi-objectives and different due date tightness.","PeriodicalId":427778,"journal":{"name":"2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128132045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"ISW: Interest-based Small World network of P2P","authors":"Jinlong Zeng, Guifeng Zheng","doi":"10.4018/jssci.2012100102","DOIUrl":"https://doi.org/10.4018/jssci.2012100102","url":null,"abstract":"Content location in unstructured peer-to-peer (P2P) networks is a challenging problem. In this paper, we present a novel Interest-based Small World (ISW) network to address the problem, by constructing a cluster overlay in the unstructured P2P network based on the small world paradigm and user interest. There are many attractive properties of a small world network, such as low average hop distance and high clustering coefficient. Interest locality can improve the awareness of user's indeed intentions. Our scheme combines their advantage to create a better solution. The simulation results show that our scheme outperforms other schemes significantly.","PeriodicalId":427778,"journal":{"name":"2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130900616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}