2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI)最新文献_第2页

Cognitive agent and its implementation in the blender game engine environment 认知代理及其在blender游戏引擎环境中的实现

2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI) Pub Date : 2013-04-16 DOI: 10.1109/CIHLI.2013.6613258

J. Starzyk, P. Raif

引用次数: 3

Sentic blending: Scalable multimodal fusion for the continuous interpretation of semantics and sentics 感知混合:可扩展的多模态融合，用于语义和语义的连续解释

2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI) Pub Date : 2013-04-16 DOI: 10.1109/CIHLI.2013.6613272

E. Cambria, N. Howard, Jane Yung-jen Hsu, A. Hussain

引用次数: 78

A connectionist model for 2-dimensional modal logic 二维模态逻辑的联结主义模型

2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI) Pub Date : 2013-04-16 DOI: 10.1109/CIHLI.2013.6613265

Min Jiang, Yang Yu, F. Chao, Minghui Shi, Changle Zhou

引用次数: 6

A Mind-World Correspondence Principle 心灵世界对应原则

2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI) Pub Date : 2013-04-16 DOI: 10.1109/CIHLI.2013.6613267

B. Goertzel

{"title":"A Mind-World Correspondence Principle","authors":"B. Goertzel","doi":"10.1109/CIHLI.2013.6613267","DOIUrl":"https://doi.org/10.1109/CIHLI.2013.6613267","url":null,"abstract":"A novel “Mind-World Correspondence Principle” is proposed - which, given an environment and goal-set, heavily constrains the structure of any intelligent system capable of efficiently achieving those goals in that environment. This is proposed as a potential step toward a “general theory of general intelligence.” An approximate gloss of the proposed principle is: “For a mind to work intelligently toward certain goals in a certain world, there should be a nice mapping from goal-directed sequences of world-states into sequences of mind-states, where “nice” means that a world-state-sequence W composed of two parts W1 and W2, gets mapped into a mind-state-sequence M composed of two corresponding parts M1 and M2.” The principle is formulated using the mathematical language of category theory, but refinement of the principle into a precise theorem is left for later works. Discussion is given regarding the use of the principle to explain common properties of realworld intelligences such as the presence of hierarchical structure. Declarative, procedural and episodic memory systems, as present in human minds and human-like cognitive architectures, are formalized using category theory in a manner consistent with the Mind-World Correspondence principle. The notion of development of minds is similarly formulated, using the category-theoretic notion of natural transformations. It is suggested that this approach to cognitive analysis and modeling may eventually be useful for deriving and refining practical designs for Artificial General Intelligence.","PeriodicalId":242647,"journal":{"name":"2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128511640","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}

引用次数: 3

Comprehensiveness and interpretability of linguistic data summaries: A natural language focused perspective 语言数据摘要的全面性与可解释性:以自然语言为中心的视角

2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI) Pub Date : 2013-04-16 DOI: 10.1109/CIHLI.2013.6613262

J. Kacprzyk, S. Zadrożny

{"title":"Comprehensiveness and interpretability of linguistic data summaries: A natural language focused perspective","authors":"J. Kacprzyk, S. Zadrożny","doi":"10.1109/CIHLI.2013.6613262","DOIUrl":"https://doi.org/10.1109/CIHLI.2013.6613262","url":null,"abstract":"We consider the important problem of comprehensiveness of linguistic data summaries equated with linguistically quantified propositions in Zadeh's sense. Motivated by Michal-ski's [29] seminal approach to the comprehensiveness of data mining and machine learning results, with a clear emphasis on natural language, we advocate the use of linguistic summaries which provide a new quality and an exceptional human consistency and comprehensiveness. Extending our previous works, we first relate our approach to some related results on the interpretability and comprehensiveness of fuzzy rule bases, both with respect to structural and semantical complexity. We show the use of a fuzzy querying interface as not only an approach that is effective and efficient but which provides an exceptional comprehensiveness through its highly human consistent HCI (human computer interface). We emphasize a psychological and cognitive aspect of comprehensibility and interpretability analyses. We advocate the use of human consistent methods based on natural language. We indicate a possibility of using quantitative evaluations. We illustrate our analysis by two examples related to the linguistic summarization of both static and dynamic data in the area of innovation and Web log analyses, and justify the results obtained by domain experts positive assessments. In general, we propose a synergistic combination of formal and natural language based methods to solve the inherently human specific problem of comprehensiveness and interpretability.","PeriodicalId":242647,"journal":{"name":"2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127693744","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}

引用次数: 9

Front matter 前页

2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI) Pub Date : 1900-01-01 DOI: 10.1525/jer.2007.2.4.fm

{"title":"Front matter","authors":"","doi":"10.1525/jer.2007.2.4.fm","DOIUrl":"https://doi.org/10.1525/jer.2007.2.4.fm","url":null,"abstract":"In this talk, I will present on the challenges involved in conducting experiments with humans in the field of computational intelligence and results on human-like intelligence. Examples will be drawn from a number of experiments that we conducted in my cognitive engineering laboratory. Some of these experiments were as complex as recording and analysing psycho-physiological, eye tracking, speech and language data, while others involved the use of machine learning methods to learn human behaviour. Whether we attempt to understand human behavior or build machines that are human-like, the validity of the results rest on our ability to overcome the challenges in human-based experiments. Biography Prof. Dr. Hussein Abbass is a Professor of Information Technology at the University of New South Wales, Canberra Campus, Australia. He is a Fellow of the Operational Research Society (UK), a fellow of the Australian Computer Society, and a Senior Member of the IEEE. Prof. Abbass is an Associate Editor of the IEEE Transactions on Evolutionary Computation, the IEEE Computational Intelligence Magazine, the American Institute of Mathematical Sciences Journal of Industrial and Management Optimization, and three other journals. Prof. Abbass’s work integrates cognitive science, operations research and artificial intelligence. He was the General Chair of the 2012 IEEE World Congress on Computational Intelligence held in Brisbane June 2012, which is the Premier and Largest event by the IEEE Computational Intelligence Society.","PeriodicalId":242647,"journal":{"name":"2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130952785","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}

引用次数: 0