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作者： Aoki, Yuta Oishi, Tadao Bandai, Masaki Fukuda, Munehiro Watanabe, Takashi Dept. of Computer Science Shizuoka University Hamamatsu-shi 432-8011 Japan Dept. of Information and Communication Sciences Sophia University Tokyo 102-8554 Japan Computing and Software Systems Program University of Washington Bothell Campus Way 18115 N.E. Bothell WA 98011-8246 United States

In wireless sensor networks, energy depletion of bottleneck nodes which have more data packets to relay than others, dominates the network lifetime referred to as the funnel effect problem. To overcome this problem, multiple sink methods have been proposed where sensor nodes send observed data packets toward several sinks to distribute traffic load of bottleneck nodes. If both of the topology and the traffic pattern are symmetric, bottleneck nodes are located near sinks. However, in a general sensor network with an asymmetric topology and/or an asymmetric traffic pattern, bottleneck nodes may exist any place in the network. In this paper, we propose DCAM (DispersiveCast of packets to Avoid bottleneck nodes for Multiple sink sensor network), which is a load balancing method to improve lifetime of a sensor network with an asymmetric topology and an asymmetric traffic pattern. DCAM first finds bottleneck nodes, and then balances the load on the bottleneck nodes. Selected nodes send data packets to several sinks dispersively according to some criteria. The criteria classify DCAM into three variations: DCAM with probability (DCAM-P), DCAM with moving boarder (DCAM-MB), and DCAM with round-robin (DCAM-RR). This paper gives details of the DCAM methods, and thereafter evaluates them with asymmetric topologies and asymmetric traffic patterns. To deal with these dynamic asymmetry, the topology is modeled by a grid network with virtual holes that are defined as vacant places of nodes in the network. Asymmetry of traffic pattern is modeled by defining a hot area where nodes have heavier data traffic than the others. The evaluations are conducted as changing hot-area traffic patterns as well as fixing hot-area patterns. The results show that DCAM improves network lifetime up to 1.87 times longer than the conventional schemes, (i.e., nearest sink transmissions and optimal dispersive cast of packet). We also discuss DCAM on several aspects such as overhead, energy consumption, and

关键词： Energy conservation

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Just add pepper: Extending learning algorithms for repeated matrix games to repeated Markov games

Just add pepper: Extending learning algorithms for repeated ...

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11th International Conference on Autonomous Agents and Multiagent Systems 2012: Innovative Applications Track, AAMAS 2012

作者： Crandall, Jacob W. Computing and Information Science Program Masdar Institute of Science and Technology Abu Dhabi United Arab Emirates

ISBN: (纸本)9781627481564

Learning in multi-agent settings has recently garnered much interest, the result of which has been the development of somewhat effective multi-agent learning (MAL) algorithms for repeated normal-form games. However, general-purpose MAL algorithms for richer environments, such as generalsum repeated stochastic (Markov) games (RSGs), are less advanced. Indeed, previously created MAL algorithms for RSGs are typically successful only when the behavior of associates meets specific game theoretic assumptions and when the game is of a particular class (such as zero-sum games). In this paper, we present a new algorithm, called Pepper, that can be used to extend MAL algorithms designed for repeated normal-form games to RSGs. We demonstrate that Pepper creates a family of new algorithms, each of whose asymptotic performance in RSGs is reminiscent of its asymptotic performance in related repeated normal-form games. We also show that some algorithms formed with Pepper outperform existing algorithms in an interesting RSG. Copyright © 2012, International Foundation for Autonomous Agents and Multiagent Systems (***). All rights reserved.

关键词： Game theory

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Indoor scene knowledge acquisition using a natural language interface

Indoor scene knowledge acquisition using a natural language ...

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Workshop on Spatial Knowledge Acquisition with Limited information Displays 2012, SKALID 2012

作者： Kesavan, Saranya Giudice, Nicholas A. School of Computing and Information Science Spatial Informatics Program University of Maine United States

This paper proposes an interface that uses automatically-generated Natural Language (NL) descriptions to describe indoor scenes based on photos taken of that scene from smartphones or other portable camera-equipped mobile devices. The goal is to develop a non-visual interface based on spatio-linguistic descriptions which could assist blind people in knowing the contents of an indoor scene (e.g., room structure, furniture, landmarks, etc.) and supporting efficient navigation of this space based on these descriptions. In this paper, we concentrate on understanding the most salient content of a stereotypic indoor scene that is described by an observer, categorizing the description strategies employed in this process, and evaluating the best presentation of directional information using NL descriptions in order to support the most accurate spatial behaviors and mental representations of these scenes by means of human behavioral experiments. This knowledge will then be used to develop a domain specific indoor scene ontology, which in turn will be used to generate automated NL descriptions of indoor scenes based on their photographs, which will finally be integrated into a real-time non-visual scene description system.

关键词： Ontology

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The effects of visual granularity on indoor spatial learning assisted by mobile 3D information displays

The effects of visual granularity on indoor spatial learning...

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International Conference on Spatial Cognition, SC 2012

作者： Giudice, Nicholas A. Li, Hengshan Spatial Informatics Program School of Computing and Information Science University of Maine Orono ME 04469 United States

ISBN: (纸本)9783642327315

There is growing interest in improving indoor navigation using 3D spatial visualizations rendered on mobile devices. However, the level of information conveyed by these visualization interfaces in order to best support indoor spatial learning has been poorly studied. This experiment investigates how learning of multi-level virtual buildings assisted by mobile 3D displays rendered at different levels of visual granularity effect subsequent unaided navigation tasks. The visual granularity levels include: a high fidelity model, low fidelity model, wireframe model and sparse model. Results showed that using the sparse model during learning led to the most accurate and efficient overall pointing and navigation performance and that between-floor judgments were less accurate when assistance during learning was unavailable. These findings demonstrate that more information is not necessarily better and provide new insights into the optimal information content to be included in mobile 3D visualization interfaces supporting indoor spatial learning and cognitive map development. © 2012 Springer-Verlag.

关键词： Visualization

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Using mobile 3D visualization techniques to facilitate multi-level cognitive map development of complex indoor spaces

Using mobile 3D visualization techniques to facilitate multi...

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Workshop on Spatial Knowledge Acquisition with Limited information Displays 2012, SKALID 2012

作者： Li, Hengshan Giudice, Nicholas A. Spatial Informatics Program School of Computing and Information Science University of Maine Orono ME 04469 USA United States

Several studies have verified that multi-level floors are an obstacle for indoor wayfinding (e.g., navigators show greater angular error when making inter-level pointing judgments and experience more disorientation when wayfinding between floors). Previous literature has also suggested that a multi-level cognitive map could be a set of vertically super-imposed 2D cognitive maps and each level could be viewed as a region. However, little research has studied how one mentally connects / integrates the different levels of the 3D cognitive map. This paper provides new insight into how people may integrate multi-level cognitive maps based on the concept of a "transition point", a term used to represent the abstract point that connects different levels of the building. Based on transition points, we proposed the concept of simulated global indoor landmarks which are displayed on mobile devices. We predict that users can develop multi-level cognitive maps more efficiently when assisted by these global indoor landmarks. An ongoing behavioral experiment is briefly described aimed at providing empirical verification for these predictions.

关键词： Floors

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Securing advanced metering infrastructure using intrusion detection system with data stream mining

Securing advanced metering infrastructure using intrusion de...

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Pacific Asia Workshop on Intelligence and Security Informatics, PAISI 2012

作者： Faisal, Mustafa Amir Aung, Zeyar Williams, John R. Sanchez, Abel Computing and Information Science Program Masdar Institute of Science and Technology Abu Dhabi 54224 United Arab Emirates Cambridge MA 02139 United States

ISBN: (纸本)9783642304279

Advanced metering infrastructure (AMI) is an imperative component of the smart grid, as it is responsible for collecting, measuring, analyzing energy usage data, and transmitting these data to the data concentrator and then to a central system in the utility side. Therefore, the security of AMI is one of the most demanding issues in the smart grid implementation. In this paper, we propose an intrusion detection system (IDS) architecture for AMI which will act as a complimentary with other security measures. This IDS architecture consists of three local IDSs placed in smart meters, data concentrators, and central system (AMI headend). For detecting anomaly, we use data stream mining approach on the public KDD CUP 1999 data set for analysis the requirement of the three components in AMI. From our result and analysis, it shows stream data mining technique shows promising potential for solving security issues in AMI. © 2012 Springer-Verlag.

关键词： Intrusion detection

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Abstracts from the 3rd International Genomic Medicine Conference (3rd IGMC 2015) : Jeddah, Kingdom of Saudi Arabia. 30 November - 3 December 2015

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BMC genomics 2016年第6期17 Suppl 6卷 487页

作者： Jerry W. Shay Noriko Homma Ruyun Zhou Muhammad Imran Naseer Adeel G. Chaudhary Mohammed Al-Qahtani Nobutaka Hirokawa Maryam Goudarzi Albert J. Fornace Saleh Baeesa Deema Hussain Mohammed Bangash Fahad Alghamdi Hans-Juergen Schulten Angel Carracedo Ishaq Khan Hanadi Qashqari Nawal Madkhali Mohamad Saka Kulvinder S. Saini Awatif Jamal Jaudah Al-Maghrabi Adel Abuzenadah Adeel Chaudhary Mohammed Al Qahtani Ghazi Damanhouri Heba Alkhatabi Anne Goodeve Laura Crookes Nikolas Niksic Nicholas Beauchamp Adel M. Abuzenadah Jim Vaught Bruce Budowle Mourad Assidi Abdelbaset Buhmeida Leena Merdad Sudhir Kumar Sayaka Miura Karen Gomez Mahmood Rasool Ahmed Rebai Sajjad Karim Hend F. Nour Eldin Heba Abusamra Elham M. Alhathli Nada Salem Mohammed H. Al-Qahtani Hossam Faheem Ashok Agarwa Eberhard Nieschlag Joachim Wistuba Oliver S. Damm Mohd A. Beg Taha A. Abdel-Meguid Hisham A. Mosli Osama S. Bajouh Serdar Coskun Muhammad Abu-Elmagd Ashraf Dallol Sahar Hakamy Wejdan Al-Qahtani Asia Al-Harbi Shireen Hussain Burak Ozkosem Rick DuBois Safia S. Messaoudi Maryam T. Dandana Touhami Mahjoub Wassim Y. Almawi S. Abdalla M. Nabil Al-Aama Asmaa Elzawahry Tsuyoshi Takahashi Sachiyo Mimaki Eisaku Furukawa Rie Nakatsuka Isao Kurosaka Takahiko Nishigaki Hiromi Nakamura Satoshi Serada Tetsuji Naka Seiichi Hirota Tatsuhiro Shibata Katsuya Tsuchihara Toshirou Nishida Mamoru Kato Sajid Mehmood Naeem Mahmood Ashraf Awais Asif Muhammad Bilal Malik Siddique Mehmood Aadil Hussain Qazi Mohammad Sajid Jamal Mughees Uddin Siddiqui Mohammad A. Alzohairy Mohammad A. Al Karaawi Taoufik Nedjadi Heba Al-Khattabi Adel Al-Ammari Ahmed Al-Sayyad Hédia Zitouni Nozha Raguema Marwa Ben Ali Wided Malah Raja Lfalah Wassim Almawi Mohammed Elanbari Andrey Ptitsyn Sana Mahjoub Rabeb El Ghali Bechir Achour Nidhal Ben Amor Brahim N’siri Hamid Morjani Esam Azhar Vera Chayeb Maryam Dendena Hedia Zitouni Khedija Zouari-Limayem Bassem Refaat Ahmed M. Ashshi Sarah A. Batwa Hazem Ramadan Amal Awad Ahmed Ateya Adel Galal Ahmed El-Shemi Ahmad Ashshi Mohammed Basalamah Youjin Na Cha University of Texas Southwestern Medical Center Dallas USA Department of Cell Biology and Anatomy Graduate School of Medicine the University of Tokyo Tokyo Japan Center of Excellence in Genomic Medicine Research King Abdulaziz University Jeddah Saudi Arabia Department of Biochemistry and Molecular & Cellular Biology Lombardi Comprehensive Cancer Center Georgetown University Washington USA Department of Oncology Lombardi Comprehensive Cancer Center Georgetown University Washington USA Department of Radiation Medicine Lombardi Comprehensive Cancer Center Georgetown University Washington USA Center of Excellence in Genomic Medicine Research (CEGMR) King Abdulaziz University Jeddah Kingdom of Saudi Arabia King Fahd Medical Research Centre King Abdulaziz University Jeddah Saudi Arabia Centre of Excellence in Genomic Medicine Research King Abdulaziz University Jeddah Saudi Arabia Sheffield Diagnostic Genetic Service Sheffield Children’s NHS Foundation Trust Western Bank Sheffield UK Center of Innovations in Personalized Medicine King Abdulaziz University Jeddah Saudi Arabia President ISBER Editor-in-Chief Biopreservation & Biobanking ᅟ USA Institute of Applied Genetics Department of Molecular and Medical Genetics University of North Texas Health Science Center Fort Worth USA Department of Dental Public Health Faculty of Dentistry King Abdulaziz University Jeddah Saudi Arabia Institute for Genomics and Evolutionary Medicine Temple University Philadelphia USA Center of Excellence in Genomic Medicine King Abdulaziz University Jeddah Kingdom of Saudi Arabia Laboratory of Molecular and Cellular Screening Processes (Bioinformatics Group) Centre of Biotechnology of Sfax Sfax Tunisia Fujitsu Technology Solutions International ᅟ ᅟ Case Western Reserve University School of Medicine and Lerner College of Medicine Cleveland Clinic Foundation Cleveland USA American Center for Reproductive Medicine Andrology Center Cleveland USA Center for Reproductive Medicine and

O1 Regulation of genes by telomere length over long distances Jerry W. Shay O2 The microtubule destabilizer KIF2A regulates the postnatal establishment of neuronal circuits in addition to prenatal cell survival, cell migration, and axon elongation, and its loss leading to malformation of cortical development and severe epilepsy Noriko Homma, Ruyun Zhou, Muhammad Imran Naseer, Adeel G. Chaudhary, Mohammed Al-Qahtani, Nobutaka Hirokawa O3 Integration of metagenomics and metabolomics in gut microbiome research Maryam Goudarzi, Albert J. Fornace Jr. O4 A unique integrated system to discern pathogenesis of central nervous system tumors Saleh Baeesa, Deema Hussain, Mohammed Bangash, Fahad Alghamdi, Hans-Juergen Schulten, Angel Carracedo, Ishaq Khan, Hanadi Qashqari, Nawal Madkhali, Mohamad Saka, Kulvinder S. Saini, Awatif Jamal, Jaudah Al-Maghrabi, Adel Abuzenadah, Adeel Chaudhary, Mohammed Al Qahtani, Ghazi Damanhouri O5 RPL27A is a target of miR-595 and deficiency contributes to ribosomal dysgenesis Heba Alkhatabi O6 Next generation DNA sequencing panels for haemostatic and platelet disorders and for Fanconi anaemia in routine diagnostic service Anne Goodeve, Laura Crookes, Nikolas Niksic, Nicholas Beauchamp O7 Targeted sequencing panels and their utilization in personalized medicine Adel M. Abuzenadah O8 International biobanking in the era of precision medicine Jim Vaught O9 Biobank and biodata for clinical and forensic applications Bruce Budowle, Mourad Assidi, Abdelbaset Buhmeida O10 Tissue microarray technique: a powerful adjunct tool for molecular profiling of solid tumors Jaudah Al-Maghrabi O11 The CEGMR biobanking unit: achievements, challenges and future plans Abdelbaset Buhmeida, Mourad Assidi, Leena Merdad O12 Phylomedicine of tumors Sudhir Kumar, Sayaka Miura, Karen Gomez O13 Clinical implementation of pharmacogenomics for colorectal cancer treatment Angel Carracedo, Mahmood Rasool O14 From association to causality: translation of GWAS findings for genomic me

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Human genome meeting 2016 : Houston, TX, USA. 28 February - 2 March 2016

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Human genomics 2016年第1期10 Suppl 1卷 12页

作者： A. K. Srivastava Y. Wang R. Huang C. Skinner T. Thompson L. Pollard T. Wood F. Luo R. Stevenson R. Polimanti J. Gelernter X. Lin I. Y. Lim Y. Wu A. L. Teh L. Chen I. M. Aris S. E. Soh M. T. Tint J. L. MacIsaac F. Yap K. Kwek S. M. Saw M. S. Kobor M. J. Meaney K. M. Godfrey Y. S. Chong J. D. Holbrook Y. S. Lee P. D. Gluckman N. Karnani A. Kapoor D. Lee A. Chakravarti C. Maercker F. Graf M. Boutros G. Stamoulis F. Santoni P. Makrythanasis A. Letourneau M. Guipponi N. Panousis M. Garieri P. Ribaux E. Falconnet C. Borel S. E. Antonarakis S. Kumar J. Curran J. Blangero S. Chatterjee J. Akiyama D. Auer C. Berrios L. Pennacchio T. R. Donti G. Cappuccio M. Miller P. Atwal A. Kennedy A. Cardon C. Bacino L. Emrick J. Hertecant F. Baumer B. Porter M. Bainbridge P. Bonnen B. Graham R. Sutton Q. Sun S. Elsea Z. Hu P. Wang Y. Zhu J. Zhao M. Xiong David A. Bennett A. Hidalgo-Miranda S. Romero-Cordoba S. Rodriguez-Cuevas R. Rebollar-Vega E. Tagliabue M. Iorio E. D’Ippolito S. Baroni B. Kaczkowski Y. Tanaka H. Kawaji A. Sandelin R. Andersson M. Itoh T. Lassmann Y. Hayashizaki P. Carninci A. R. R. Forrest C. A. Semple E. A. Rosenthal B. Shirts L. Amendola C. Gallego M. Horike-Pyne A. Burt P. Robertson P. Beyers C. Nefcy D. Veenstra F. Hisama R. Bennett M. Dorschner D. Nickerson J. Smith K. Patterson D. Crosslin R. Nassir N. Zubair T. Harrison U. Peters G. Jarvik F. Menghi K. Inaki X. Woo P. Kumar K. Grzeda A. Malhotra H. Kim D. Ucar P. Shreckengast K. Karuturi J. Keck J. Chuang E. T. Liu B. Ji A. Tyler G. Ananda G. Carter H. Nikbakht M. Montagne M. Zeinieh A. Harutyunyan M. Mcconechy N. Jabado P. Lavigne J. Majewski J. B. Goldstein M. Overman G. Varadhachary R. Shroff R. Wolff M. Javle A. Futreal D. Fogelman L. Bravo W. Fajardo H. Gomez C. Castaneda C. Rolfo J. A. Pinto K. C. Akdemir L. Chin S. Patterson C. Statz S. Mockus S. N. Nikolaev X. I. Bonilla L. Parmentier B. King F. Bezrukov G. Kaya V. Zoete V. Seplyarskiy H. Sharpe T. McKee K. Popadin N. Basset-Seguin R. Ben Chaabene M. Andrianova C. Verdan K. Grosdemange O. Sumara M. E JCSRI Greenwood Genetic Center Greenwood USA School of Computing Clemson University Clemson USA Biochemical Genetics Laboratory Greenwood Genetic Center Greenwood USA Department Psychiatry Yale Sch Med and VA CT Healthcare Center West Haven USA Department Genetics Yale Sch Med and VA CT Healthcare Center West Haven USA Department Neurobiology Yale Sch Med and VA CT Healthcare Center West Haven USA Singapore Institute for Clinical Sciences Singapore Singapore National University of Singapore Singapore Singapore University of British Columbia Vancouver Canada KK Women’s and Children’s Hospital Singapore Singapore University of Southampton and University Hospital Southampton NHS Foundation Trust Southampton UK University of Auckland Auckland New Zealand McKusick-Nathans Institute of Genetic Medicine Johns Hopkins University School of Medicine Baltimore USA Esslingen University of Applied Sciences Esslingen Germany German Cancer Research Center Heidelberg Germany Department of Genetic Medicine and Development University of Geneva Medical School Geneva Switzerland Geneva University Hospitals-HUG Service of Genetic Medicine Geneva Switzerland GE3 Institute of Genetics and Genomics of Geneva University of Geneva Medical School Geneva Switzerland South Texas Diabetes and Obesity Institute School of Medicine University of Texas Rio-Grande Valley Edinburg USA South Texas Diabetes and Obesity Institute School of Medicine University of Texas Rio-Grande Valley Brownsville USA Institute of Genetic Medicine Johns Hopkins University Baltimore USA Genomics Division Lawrence Berkeley National Laboratory Berkeley USA Molecular and Human Genetics Baylor College of Medicine Houston USA Department of Translational Medical Sciences Federico II University Naples Italy Metabolon Inc Durham USA Section of Pediatric Neurology and Neuroscience Baylor College of Medicine Houston USA Tawam Hospital Abu Dhabi United Arab Emirates Stanford Medical School Stanford USA Sch

O1 The metabolomics approach to autism: identification of biomarkers for early detection of autism spectrum disorder A. K. Srivastava, Y. Wang, R. Huang, C. Skinner, T. Thompson, L. Pollard, T. Wood, F. Luo, R. Stevenson O2 Phenome-wide association study for smoking- and drinking-associated genes in 26,394 American women with African, Asian, European, and Hispanic descents R. Polimanti, J. Gelernter O3 Effects of prenatal environment, genotype and DNA methylation on birth weight and subsequent postnatal outcomes: findings from GUSTO, an Asian birth cohort X. Lin, I. Y. Lim, Y. Wu, A. L. Teh, L. Chen, I. M. Aris, S. E. Soh, M. T. Tint, J. L. MacIsaac, F. Yap, K. Kwek, S. M. Saw, M. S. Kobor, M. J. Meaney, K. M. Godfrey, Y. S. Chong, J. D. Holbrook, Y. S. Lee, P. D. Gluckman, N. Karnani, GUSTO study group O4 High-throughput identification of specific qt interval modulating enhancers at the SCN5A locus A. Kapoor, D. Lee, A. Chakravarti O5 Identification of extracellular matrix components inducing cancer cell migration in the supernatant of cultivated mesenchymal stem cells C. Maercker, F. Graf, M. Boutros O6 Single cell allele specific expression (ASE) IN T21 and common trisomies: a novel approach to understand DOWN syndrome and other aneuploidies G. Stamoulis, F. Santoni, P. Makrythanasis, A. Letourneau, M. Guipponi, N. Panousis, M. Garieri, P. Ribaux, E. Falconnet, C. Borel, S. E. Antonarakis O7 Role of microRNA in LCL to IPSC reprogramming S. Kumar, J. Curran, J. Blangero O8 Multiple enhancer variants disrupt gene regulatory network in Hirschsprung disease S. Chatterjee, A. Kapoor, J. Akiyama, D. Auer, C. Berrios, L. Pennacchio, A. Chakravarti O9 Metabolomic profiling for the diagnosis of neurometabolic disorders T. R. Donti, G. Cappuccio, M. Miller, P. Atwal, A. Kennedy, A. Cardon, C. Bacino, L. Emrick, J. Hertecant, F. Baumer, B. Porter, M. Bainbridge, P. Bonnen, B. Graham, R. Sutton, Q. Sun, S. Elsea O10 A novel causal methylation network approach to Alzheimer’s

关键词： Pulmonary Arterial Hypertension Oral Squamous Cell Carcinoma Deep Neural Network Autosomal Recessive Polycystic Kidney Disease Whole Genome Bisulfite Sequencing

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Towards understanding the rural financial ecosystem in Ethiopia: Perspective from case study 12

Towards understanding the rural financial ecosystem in Ethio...

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International Conference on Management of Emergent Digital EcoSystems, MEDES 2012

作者： Mesfin, Woldmariam F Ghinea, Gheorghita Atnafu, Solomon IT PhD Program Addis Ababa University Ethiopia School of Information Systems Computing and Mathematics Brunel University United Kingdom School of Computer Science Addis Ababa University Ethiopia

ISBN: (纸本)9781450317559

Previous studies concerned with mobile financial services for the poor have been narrowly conceived, mainly depending on secondary data and focusing on technical design issues without having fully understood individuals' complex relationships and money practices. In order to contribute to this knowledge gap and inform mobile money system design, an exploratory case study investigated social relationships and social payment practices among rural individuals in Ethiopia. Key findings regarding their money exchange practices include: (1) secrecy and disclosure of money exchange practices (2) acceptance and or rejection of money gift for some reasons, (3) personalize money giving and accepting practices, and finally (4) separating and labeling of money based on its purpose and source. A qualitative exploratory research approach with key informant focus group discussions served as the primary means of information gathering. Copyright © 2012 ACM.

关键词： Ecosystems

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Just Add Pepper: Extending Learning Algorithms for Repeated Matrix Games to Repeated Markov Games 12

Just Add Pepper: Extending Learning Algorithms for Repeated ...

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International Conference on Autonomous Agents and Multiagent Systems

作者： Jacob W. Crandall Computing and Information Science Program Masdar Institute of Science and Technology Abu Dhabi United Arab Emirates

ISBN: (纸本)9781627481564

Learning in multi-agent settings has recently garnered much interest, the result of which has been the development of somewhat effective multi-agent learning (MAL) algorithms for repeated normal-form games. However, general-purpose MAL algorithms for richer environments, such as general sum repeated stochastic (Markov) games (RSGs), are less advanced. Indeed, previously created MAL algorithms for RSGs are typically successful only when the behavior of as sociates meets specific game theoretic assumptions and when the game is of a particular class (such as zero-sum games). In this paper, we present a new algorithm, called Pepper, that can be used to extend MAL algorithms designed for repeated normal-form games to RSGs. We demonstrate that Pepper creates a family of new algorithms, each of whose asymptotic performance in RSGs is reminiscent of its asymptotic performance in related repeated normal-form games. We also show that some algorithms formed with Pepper outperform existing algorithms in an interesting RSG.

关键词： Multi-agent learning Stochastic games Game theory Game theory Piper nigrum algorithms MAL gene Game animals cyclic Markov

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