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Evolving referential communication in embodied dynamical agents

Evolving referential communication in embodied dynamical age...

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11th International Conference on the Simulation and Synthesis of Living Systems: Artificial Life XI, ALIFE 2008

作者： Williams, Paul L. Beer, Randall D. Gasser, Michael Cognitive Science Program Indiana University Bloomington IN 47406 United States Dept. of Computer Science Indiana University Bloomington IN 47406 United States Dept. of Informatics Indiana University Bloomington IN 47406 United States

ISBN: (纸本)9780262750172

This paper presents results from three experiments which investigate the evolution of referential communication in embodied dynamical agents. Agents, interacting with only simple sensors and motors, are evolved in a task which requires one agent to communicate the locations of spatially distant targets to another agent. The results from these experiments demonstrate a variety of successful communication strategies, providing a first step towards understanding the emergence of referential communication in terms of coordinated behavioral interactions. © 2007 ***.

关键词： Biological systems

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Relevancy based access control of versioned XML documents 05

Relevancy based access control of versioned XML documents

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SACMAT 2005: Proceedings of 10th ACM Symposium on Access Control Models and Technologies

作者： Iwaihara, Mizuho Chatvichienchai, Somchai Anutariya, Chutiporn Wuwongse, Vilas Dept. Social Informatics Kyoto University Kyoto 606-8501 Japan Dept. Info.-Media Siebold University of Nagasaki Nagasaki 851-2195 Japan Computer Science Program Shinawatra University Pathumthani 12160 Thailand Computer Science and Information Management Program Asian Institute of Technology Pathumthani 12120 Thailand

ISBN: (纸本)9781595930453

Integration of version and access control of XML documents has the benefit of regulating access to rapidly growing archives of XML documents. Versioned XML documents provide us with valuable informations on dependencies between document nodes, but at the same time presenting the risk of undesirable data disclosure. In this paper we introduce the notion of relevancy-based access control, which realizes protection of versioned XML documents by various types of relevancy, such as version dependencies, schema similarities and temporal proximity. We define a new path query language XVerPath over XML document versions, which can be utilized for specifying relevancy-based access control policies. We also introduce the notion of relevancy class, for collectively and compactly specifying relevancy-based policies. Copyright 2005 ACM.

关键词： XML

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Human Understanding Capabilities of Symbiotic AI systems in FAIR (Future Artificial Intelligence Research)

Human Understanding Capabilities of Symbiotic AI systems in ...

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2023 Italia Intelligenza Artificiale - Thematic Workshops, Ital-IA 2023

作者： Amodio, Pierluigi Antonucci, Linda Antonella Basile, Pierpaolo de Gemmis, Marco Iavernaro, Felice Lops, Pasquale Mazzia, Francesca Musto, Cataldo Polignano, Marco Semeraro, Giovanni Siciliani, Lucia Tamborrino, Cristiano Taurisano, Paolo University of Bari Aldo Moro Dept. of Mathematics Bari70125 Italy University of Bari Aldo Moro Dept. of Translational Biomedicine and Neuroscience Bari70125 Italy University of Bari Aldo Moro Dept. of Computer Science Bari70125 Italy

Nowadays, we need AI systems capable of engaging and working with people, perceiving and acting within changing contexts, being aware of their limits and adapting to new scenarios, behaving correctly in complex social settings, being aware of their security and trust perimeters, and of being aware of the environmental and societal effect that their implementation and execution may imply. In summary, we require a formerly undiscovered AI. Symbiotic-AI systems should disclose human cognitive capabilities to improve the effectiveness of information access and decision-making. This is achieved by combining methods for determining who is interacting with the system and how. The former includes the definition of strategies for acquiring and exploiting users' personal information gathered by combining different strategies and heterogeneous sources. In contrast, the latter includes detecting and interpreting human signals acquired from various sources, such as advanced machine learning (particularly deep learning) and natural language processing. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Decision making

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A Neural Network Model of Continual Learning with Cognitive Control 44

A Neural Network Model of Continual Learning with Cognitive ...

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44th Annual Meeting of the Cognitive science Society: Cognitive Diversity, CogSci 2022

作者： Russin, Jacob Zolfaghar, Maryam Park, Seongmin A. Boorman, Erie O'Reilly, Randall C. Dept. of Psychology UC Davis United States Dept. of Computer Science UC Davis United States Center for Mind and Brain UC Davis United States Center for Neuroscience UC Davis United States

Neural networks struggle in continual learning settings from catastrophic forgetting: when trials are blocked, new learning can overwrite the learning from previous blocks. Humans learn effectively in these settings, in some cases even showing an advantage of blocking, suggesting the brain contains mechanisms to overcome this problem. Here, we build on previous work and show that neural networks equipped with a mechanism for cognitive control do not exhibit catastrophic forgetting when trials are blocked. We further show an advantage of blocking over interleaving when there is a bias for active maintenance in the control signal, implying a tradeoff between maintenance and the strength of control. Analyses of map-like representations learned by the networks provided additional insights into these mechanisms. Our work highlights the potential of cognitive control to aid continual learning in neural networks, and offers an explanation for the advantage of blocking that has been observed in humans. © 2022 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY)

关键词： Learning systems

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Into 3D-Reconstructed Apparel over Virtual Try-On with Virtual Reality

Into 3D-Reconstructed Apparel over Virtual Try-On with Virtu...

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2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023

作者： Doungtap, Surasachai Petchhan, Jirayu Phanichraksaphong, Varinya Wang, Jenq-Haur International Graduate Program of Electrical Engineering and Computer Science Taiwan National Taiwan University of Science & Technology Dept. of Electrical Engineering Taiwan National Taipei University of Technology Department of Computer Science and Information Engineering Taiwan

ISBN: (纸本)9798350324174

Virtualization technologies are still growing bigger and faster. Despite the greatness of its advancement, the costume industry is still very accessible when it comes to real trials. Off-the-shelf stuff are inadequate details for the desired individual to assess its in-dept. utility for each garment trying on for a second, including custom stuff are much harder to try out right away. To this end, 2D image-based 3D reconstruction inclusive of touchable-virtualized space is accessible easier to stuff details for mans' decision making in purchasing. We establish the overall end-to-end pipeline from reconstruction until visualization for one instance to be triable on its stuff for a moment. As an expectation, our proposed approach can bring objects into the experimental area and use them immediately without any obstacle. © 2023 IEEE.

关键词： Virtual reality

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Cloud computing for environment-friendly data centers

Cloud computing for environment-friendly data centers

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3rd ACM International Workshop on Cloud Data Management, CloudDB 2012 - Co-located with CIKM 2012

作者： Pawlish, Michael Varde, Aparna S. Robila, Stefan A. Montclair State University Environmental Mgmt. Program Montclair NJ United States Montclair State University Dept. of Computer Science Montclair NJ United States Montclair State University Dept. of Computer Science Montclair NJ 07043 United States

ISBN: (纸本)9781450317085

The purpose of this paper is to analyze the carbon footprint and utilization rates in a data center. The long-term goal of this work is to give data center administrators an enhanced perspective of data center operations to allow for more energy efficient operation, to lower the carbon footprint, and to promote green data centers. Previous literature shows that low utilization rates in data centers are due to the forecasting of demand to meet spikes in data center use. This management policy has led to many servers running idle the majority of the time which is a waste of resources. We argue that a majority of the data centers should be down sized through decommissioning of phantom servers, virtualization, and shifting spikes in demand to a cloud provider. We use data from the operations of a mid-to-large scale data center in a university. We deploy data mining techniques of decision trees and case-based reasoning to conduct analysis for decision support in cloud computing at data centers. We provide recommendations based on a literature search and our own work. This paper describes our work in progress in the area of developing green data centers. Copyright 2012 ACM.

关键词： Green computing

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RNAVLab: A unified environment for computational RNA structure analysis based on grid computing technology

RNAVLab: A unified environment for computational RNA structu...

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21st International Parallel and Distributed Processing Symposium, IPDPS 2007

作者： Taufer, M. Leung, M.-Y. Johnson, K.L. Licon, A. Dept. of Computer Science University of Texas El Paso Dept. of Mathematical Sciences University of Texas El Paso Dept. of Biological Sciences University of Texas El Paso Bioinformatics Program University of Texas El Paso

ISBN: (纸本)1424409101

Ribonucleic acid (RNA) molecules play important roles in many biological processes including gene expression and regulation. An RNA molecule is a linear polymer which folds back on itself to form a three dimensional (3D) functional structure. While experimental determination of precise 3D RNA structures is a time consuming and costly process, useful insight into the molecule can be gained from knowing its secondary structure. Structural elements in RNA secondary structures can be separated into two large categories: stem-loops and pseudoknots. The development of mathematical models and computational prediction algorithms for simple stem-loop structures started early in the 1980's. However, building systems that provide the tremendous computer time and memory needed for RNA analysis of both stem-loops and pseudoknots remains a challenge even today. The recently developed grid computing technology can offer a possible solution to this challenge. In this paper we briefly address mathematical problems associated with the grid computing approach to RNA structure prediction. In particular, we introduce models to partition a large RNA molecule into smaller segments to be assigned to different computers on the grid. Based on these models, we formulate a sampling strategy to select RNA segments for computational prediction to maximize prediction consistency. This strategy is under construction as part of RNAVLab, our unified environment for computational RNA structure analysis, i.e., prediction, alignment, comparison, and classification, A first prototype of RNAVLab is presented and used to investigate the possible association of secondary structure types with RNA functions by analyzing secondary structures for a family of nodavirus genomes. © 2007 IEEE.

关键词： Grid computing

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Computational model and the human perception of emotional body language (EBL)

Computational model and the human perception of emotional bo...

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23rd Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour, AISB 2009

作者： Fridin, Marina Barliya, Avi Schechtman, Edna De Gelder, Beatrice Flash, Tamar Dept. of Computer Science and Applied Math. Weizmann Institute of Science Rehovot Israel Lab. of Cognitive and Affective Neuroscience Tilburg Univ. Netherlands Dept. of Industrial Engineering and Management Ben Gurion Univ. Beer Sheva Israel

ISBN: (纸本)1902956850

Emotions are undeniably a central component of human existence. In recent years, the importance of developing systems which incorporate emotions into human-computer interaction (HCI) has been widely acknowledged. However, research on emotion recognition has been dominated by studies of facial expression of emotion. In comparison, the study of EBL has received relatively little attention. Here we study the phenomena of EBL, specifically of static body postures expressing emotions, from two different perspectives. First, we have built a computational model for the recognition of four basic emotions which achieves a relatively high recognition rate (70 %). Secondly, to study perception of EBL, we examined what body parts attract the observer's attention during the perception of EBL. This is done by tracking eye movements of human subjects during the observation of static postures expressing emotions. Although invaluable information can be inferred from motion, this study will show that information about static body posture is rich enough for both automatic recognition and human perception. The present study contributes in an applicative way both to the development of automatic recognition systems of EBL and provides insight into the nature of human recognition of EBL.

关键词： Eye movements

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Attention-aware rendering, mobile graphics and games 14

Attention-aware rendering, mobile graphics and games

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ACM Special Interest Group on computer Graphics and Interactive Techniques Conference, SIGGRAPH 2014

作者： McNamara, Ann Mania, Katerina Koulieris, George Itti, Laurent Department of Visualization Texas A and M University United States Dept. of Electronic and Computer Engineering Technical University of Crete Greece Department of Computer Science Psychology and Neuroscience University of Southern California United States

ISBN: (纸本)9781450329620

Rendering and design efficiency become critical when deploying computer graphics to mobile devices and games. This course addresses novel approaches to leverage models of visual attention, based on low and high level scene features, to propel attention-aware rendering computation. The result: perceptually-optimized scalable algorithms for mobile platforms and game design. Recent research on low-level attention algorithms whose architecture and function is closely inspired from biological brains will be reviewed (Baldi & Itti, 2010). High level saliency instigated by cognitive information such as scene context and topology will also be discussed (Zotos, Mania, & Mourkoussis, 2009;?, ?). Prediction of attention can significantly improve many aspects of computer graphics and games. Image synthesis can be accelerated by reducing computation on non-attended scene regions. Subtle gaze manipulation (Bailey, McNamara, Sudarsanam, & Grimm, 2009a) improves mammography training and spatial recall as well as dynamically inuence interactive neuroscientific protocols in fMRI. The course will showcase through interactive content how employing a visual attention model leads to efficient game design. Many games rely on search or target detection tasks to solve riddles or find game objects. Adjusting the difficulty of a level could be facilitated by relocating objects estimated to attract attention. By incorporating visual attention estimation, perceptually optimized renderers for mobile platforms can dynamically ignore perceptually non-important details. Modern video games and interactive applications are simultaneously deployed for computers, consoles and mobile devices of diverse computational power. Complex effects including but not limited to complex refraction and subsurface scattering that are standard in desktop computers, could also scale efficiently in portable devices if attention-aware. Examples such as the integration of a high level saliency model in a LOD manager, enab

关键词： computer games

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Applications of novel graph theoretic methods to clustering autism spectrum disorders phenotypes 9

Applications of novel graph theoretic methods to clustering ...

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9th International Conference on Bioinformatics and Computational Biology, BICOB 2017

作者： Matta, John Nguyen, Thy Ercal, Gunes Obafemi-Ajayi, Tayo Dept. of Computer Science Southern Illinois University Edwardsville EdwardsvilleIL62026 United States Dept. of Computer Science Missouri State University SpringfieldMO65897 United States Engineering Program Missouri State University SpringfieldMO65897 United States

ISBN: (纸本)9781943436071

This paper applies two node-based graph theoretic algorithms to cluster a set of 2680 Autism Spectrum Disorder (ASD) subjects using ASD phenotype features. The two node-based resilience measures are vertex attack tolerance (VAT) and integrity. Analysis of the results performed using internal cluster validation measures and clinical analysis outcome demonstrate the potential usefulness of resilience measure clustering for biomedical datasets.

关键词： Graph theory

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