--- _id: '1681' abstract: - lang: eng text: In many social situations, individuals endeavor to find the single best possible partner, but are constrained to evaluate the candidates in sequence. Examples include the search for mates, economic partnerships, or any other long-term ties where the choice to interact involves two parties. Surprisingly, however, previous theoretical work on mutual choice problems focuses on finding equilibrium solutions, while ignoring the evolutionary dynamics of decisions. Empirically, this may be of high importance, as some equilibrium solutions can never be reached unless the population undergoes radical changes and a sufficient number of individuals change their decisions simultaneously. To address this question, we apply a mutual choice sequential search problem in an evolutionary game-theoretical model that allows one to find solutions that are favored by evolution. As an example, we study the influence of sequential search on the evolutionary dynamics of cooperation. For this, we focus on the classic snowdrift game and the prisoner’s dilemma game. article_processing_charge: No article_type: original author: - first_name: Tadeas full_name: Priklopil, Tadeas id: 3C869AA0-F248-11E8-B48F-1D18A9856A87 last_name: Priklopil - first_name: Krishnendu full_name: Chatterjee, Krishnendu id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87 last_name: Chatterjee orcid: 0000-0002-4561-241X citation: ama: Priklopil T, Chatterjee K. Evolution of decisions in population games with sequentially searching individuals. Games. 2015;6(4):413-437. doi:10.3390/g6040413 apa: Priklopil, T., & Chatterjee, K. (2015). Evolution of decisions in population games with sequentially searching individuals. Games. MDPI. https://doi.org/10.3390/g6040413 chicago: Priklopil, Tadeas, and Krishnendu Chatterjee. “Evolution of Decisions in Population Games with Sequentially Searching Individuals.” Games. MDPI, 2015. https://doi.org/10.3390/g6040413. ieee: T. Priklopil and K. Chatterjee, “Evolution of decisions in population games with sequentially searching individuals,” Games, vol. 6, no. 4. MDPI, pp. 413–437, 2015. ista: Priklopil T, Chatterjee K. 2015. Evolution of decisions in population games with sequentially searching individuals. Games. 6(4), 413–437. mla: Priklopil, Tadeas, and Krishnendu Chatterjee. “Evolution of Decisions in Population Games with Sequentially Searching Individuals.” Games, vol. 6, no. 4, MDPI, 2015, pp. 413–37, doi:10.3390/g6040413. short: T. Priklopil, K. Chatterjee, Games 6 (2015) 413–437. date_created: 2018-12-11T11:53:26Z date_published: 2015-09-29T00:00:00Z date_updated: 2023-10-17T11:42:52Z day: '29' ddc: - '000' department: - _id: NiBa - _id: KrCh doi: 10.3390/g6040413 ec_funded: 1 file: - access_level: open_access checksum: 912e1acbaf201100f447a43e4d5958bd content_type: application/pdf creator: system date_created: 2018-12-12T10:12:41Z date_updated: 2020-07-14T12:45:12Z file_id: '4959' file_name: IST-2016-448-v1+1_games-06-00413.pdf file_size: 518832 relation: main_file file_date_updated: 2020-07-14T12:45:12Z has_accepted_license: '1' intvolume: ' 6' issue: '4' language: - iso: eng month: '09' oa: 1 oa_version: Published Version page: 413 - 437 project: - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme - _id: 25832EC2-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S 11407_N23 name: Rigorous Systems Engineering - _id: 2581B60A-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '279307' name: 'Quantitative Graph Games: Theory and Applications' publication: Games publication_identifier: eissn: - 2073-4336 publication_status: published publisher: MDPI publist_id: '5467' pubrep_id: '448' quality_controlled: '1' scopus_import: '1' status: public title: Evolution of decisions in population games with sequentially searching individuals tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 6 year: '2015' ... --- _id: '1655' abstract: - lang: eng text: Quantifying behaviors of robots which were generated autonomously from task-independent objective functions is an important prerequisite for objective comparisons of algorithms and movements of animals. The temporal sequence of such a behavior can be considered as a time series and hence complexity measures developed for time series are natural candidates for its quantification. The predictive information and the excess entropy are such complexity measures. They measure the amount of information the past contains about the future and thus quantify the nonrandom structure in the temporal sequence. However, when using these measures for systems with continuous states one has to deal with the fact that their values will depend on the resolution with which the systems states are observed. For deterministic systems both measures will diverge with increasing resolution. We therefore propose a new decomposition of the excess entropy in resolution dependent and resolution independent parts and discuss how they depend on the dimensionality of the dynamics, correlations and the noise level. For the practical estimation we propose to use estimates based on the correlation integral instead of the direct estimation of the mutual information based on next neighbor statistics because the latter allows less control of the scale dependencies. Using our algorithm we are able to show how autonomous learning generates behavior of increasing complexity with increasing learning duration. acknowledgement: This work was supported by the DFG priority program 1527 (Autonomous Learning) and by the European Community’s Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 318723 (MatheMACS) and from the People Programme (Marie Curie Actions) of the European Union’s Seventh Framework Programme (FP7/2007-2013) under REA grant agreement no. 291734. article_processing_charge: No author: - first_name: Georg S full_name: Martius, Georg S id: 3A276B68-F248-11E8-B48F-1D18A9856A87 last_name: Martius - first_name: Eckehard full_name: Olbrich, Eckehard last_name: Olbrich citation: ama: Martius GS, Olbrich E. Quantifying emergent behavior of autonomous robots. Entropy. 2015;17(10):7266-7297. doi:10.3390/e17107266 apa: Martius, G. S., & Olbrich, E. (2015). Quantifying emergent behavior of autonomous robots. Entropy. MDPI. https://doi.org/10.3390/e17107266 chicago: Martius, Georg S, and Eckehard Olbrich. “Quantifying Emergent Behavior of Autonomous Robots.” Entropy. MDPI, 2015. https://doi.org/10.3390/e17107266. ieee: G. S. Martius and E. Olbrich, “Quantifying emergent behavior of autonomous robots,” Entropy, vol. 17, no. 10. MDPI, pp. 7266–7297, 2015. ista: Martius GS, Olbrich E. 2015. Quantifying emergent behavior of autonomous robots. Entropy. 17(10), 7266–7297. mla: Martius, Georg S., and Eckehard Olbrich. “Quantifying Emergent Behavior of Autonomous Robots.” Entropy, vol. 17, no. 10, MDPI, 2015, pp. 7266–97, doi:10.3390/e17107266. short: G.S. Martius, E. Olbrich, Entropy 17 (2015) 7266–7297. date_created: 2018-12-11T11:53:17Z date_published: 2015-10-23T00:00:00Z date_updated: 2023-10-17T11:42:00Z day: '23' ddc: - '000' department: - _id: ChLa - _id: GaTk doi: 10.3390/e17107266 ec_funded: 1 file: - access_level: open_access checksum: 945d99631a96e0315acb26dc8541dcf9 content_type: application/pdf creator: system date_created: 2018-12-12T10:12:25Z date_updated: 2020-07-14T12:45:08Z file_id: '4943' file_name: IST-2016-464-v1+1_entropy-17-07266.pdf file_size: 6455007 relation: main_file file_date_updated: 2020-07-14T12:45:08Z has_accepted_license: '1' intvolume: ' 17' issue: '10' language: - iso: eng month: '10' oa: 1 oa_version: Published Version page: 7266 - 7297 project: - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme publication: Entropy publication_status: published publisher: MDPI publist_id: '5495' pubrep_id: '464' quality_controlled: '1' scopus_import: '1' status: public title: Quantifying emergent behavior of autonomous robots tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 17 year: '2015' ... --- _id: '1834' abstract: - lang: eng text: Huge body of evidences demonstrated that volatile anesthetics affect the hippocampal neurogenesis and neurocognitive functions, and most of them showed impairment at anesthetic dose. Here, we investigated the effect of low dose (1.8%) sevoflurane on hippocampal neurogenesis and dentate gyrus-dependent learning. Neonatal rats at postnatal day 4 to 6 (P4-6) were treated with 1.8% sevoflurane for 6 hours. Neurogenesis was quantified by bromodeoxyuridine labeling and electrophysiology recording. Four and seven weeks after treatment, the Morris water maze and contextual-fear discrimination learning tests were performed to determine the influence on spatial learning and pattern separation. A 6-hour treatment with 1.8% sevoflurane promoted hippocampal neurogenesis and increased the survival of newborn cells and the proportion of immature granular cells in the dentate gyrus of neonatal rats. Sevoflurane-treated rats performed better during the training days of the Morris water maze test and in contextual-fear discrimination learning test. These results suggest that a subanesthetic dose of sevoflurane promotes hippocampal neurogenesis in neonatal rats and facilitates their performance in dentate gyrus-dependent learning tasks. article_processing_charge: No article_type: original author: - first_name: Chong full_name: Chen, Chong id: 3DFD581A-F248-11E8-B48F-1D18A9856A87 last_name: Chen - first_name: Chao full_name: Wang, Chao last_name: Wang - first_name: Xuan full_name: Zhao, Xuan last_name: Zhao - first_name: Tao full_name: Zhou, Tao last_name: Zhou - first_name: Dao full_name: Xu, Dao last_name: Xu - first_name: Zhi full_name: Wang, Zhi last_name: Wang - first_name: Ying full_name: Wang, Ying last_name: Wang citation: ama: Chen C, Wang C, Zhao X, et al. Low-dose sevoflurane promoteshippocampal neurogenesis and facilitates the development of dentate gyrus-dependent learning in neonatal rats. ASN Neuro. 2015;7(2). doi:10.1177/1759091415575845 apa: Chen, C., Wang, C., Zhao, X., Zhou, T., Xu, D., Wang, Z., & Wang, Y. (2015). Low-dose sevoflurane promoteshippocampal neurogenesis and facilitates the development of dentate gyrus-dependent learning in neonatal rats. ASN Neuro. SAGE Publications. https://doi.org/10.1177/1759091415575845 chicago: Chen, Chong, Chao Wang, Xuan Zhao, Tao Zhou, Dao Xu, Zhi Wang, and Ying Wang. “Low-Dose Sevoflurane Promoteshippocampal Neurogenesis and Facilitates the Development of Dentate Gyrus-Dependent Learning in Neonatal Rats.” ASN Neuro. SAGE Publications, 2015. https://doi.org/10.1177/1759091415575845. ieee: C. Chen et al., “Low-dose sevoflurane promoteshippocampal neurogenesis and facilitates the development of dentate gyrus-dependent learning in neonatal rats,” ASN Neuro, vol. 7, no. 2. SAGE Publications, 2015. ista: Chen C, Wang C, Zhao X, Zhou T, Xu D, Wang Z, Wang Y. 2015. Low-dose sevoflurane promoteshippocampal neurogenesis and facilitates the development of dentate gyrus-dependent learning in neonatal rats. ASN Neuro. 7(2). mla: Chen, Chong, et al. “Low-Dose Sevoflurane Promoteshippocampal Neurogenesis and Facilitates the Development of Dentate Gyrus-Dependent Learning in Neonatal Rats.” ASN Neuro, vol. 7, no. 2, SAGE Publications, 2015, doi:10.1177/1759091415575845. short: C. Chen, C. Wang, X. Zhao, T. Zhou, D. Xu, Z. Wang, Y. Wang, ASN Neuro 7 (2015). date_created: 2018-12-11T11:54:16Z date_published: 2015-04-13T00:00:00Z date_updated: 2023-10-18T06:47:30Z day: '13' ddc: - '570' department: - _id: PeJo doi: 10.1177/1759091415575845 file: - access_level: open_access checksum: 53e16bd3fc2ae2c0d7de9164626c37aa content_type: application/pdf creator: system date_created: 2018-12-12T10:14:08Z date_updated: 2020-07-14T12:45:18Z file_id: '5057' file_name: IST-2016-456-v1+1_ASN_Neuro-2015-Chen-.pdf file_size: 1146814 relation: main_file file_date_updated: 2020-07-14T12:45:18Z has_accepted_license: '1' intvolume: ' 7' issue: '2' language: - iso: eng license: https://creativecommons.org/licenses/by/3.0/ month: '04' oa: 1 oa_version: Published Version publication: ASN Neuro publication_status: published publisher: SAGE Publications publist_id: '5269' pubrep_id: '456' quality_controlled: '1' scopus_import: '1' status: public title: Low-dose sevoflurane promoteshippocampal neurogenesis and facilitates the development of dentate gyrus-dependent learning in neonatal rats tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/3.0/legalcode name: Creative Commons Attribution 3.0 Unported (CC BY 3.0) short: CC BY (3.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 7 year: '2015' ... --- _id: '1635' abstract: - lang: eng text: We calculate a Ricci curvature lower bound for some classical examples of random walks, namely, a chain on a slice of the n-dimensional discrete cube (the so-called Bernoulli-Laplace model) and the random transposition shuffle of the symmetric group of permutations on n letters. article_processing_charge: No article_type: original author: - first_name: Matthias full_name: Erbar, Matthias last_name: Erbar - first_name: Jan full_name: Maas, Jan id: 4C5696CE-F248-11E8-B48F-1D18A9856A87 last_name: Maas orcid: 0000-0002-0845-1338 - first_name: Prasad full_name: Tetali, Prasad last_name: Tetali citation: ama: Erbar M, Maas J, Tetali P. Discrete Ricci curvature bounds for Bernoulli-Laplace and random transposition models. Annales de la faculté des sciences de Toulouse. 2015;24(4):781-800. doi:10.5802/afst.1464 apa: Erbar, M., Maas, J., & Tetali, P. (2015). Discrete Ricci curvature bounds for Bernoulli-Laplace and random transposition models. Annales de La Faculté Des Sciences de Toulouse. Faculté des sciences de Toulouse. https://doi.org/10.5802/afst.1464 chicago: Erbar, Matthias, Jan Maas, and Prasad Tetali. “Discrete Ricci Curvature Bounds for Bernoulli-Laplace and Random Transposition Models.” Annales de La Faculté Des Sciences de Toulouse. Faculté des sciences de Toulouse, 2015. https://doi.org/10.5802/afst.1464. ieee: M. Erbar, J. Maas, and P. Tetali, “Discrete Ricci curvature bounds for Bernoulli-Laplace and random transposition models,” Annales de la faculté des sciences de Toulouse, vol. 24, no. 4. Faculté des sciences de Toulouse, pp. 781–800, 2015. ista: Erbar M, Maas J, Tetali P. 2015. Discrete Ricci curvature bounds for Bernoulli-Laplace and random transposition models. Annales de la faculté des sciences de Toulouse. 24(4), 781–800. mla: Erbar, Matthias, et al. “Discrete Ricci Curvature Bounds for Bernoulli-Laplace and Random Transposition Models.” Annales de La Faculté Des Sciences de Toulouse, vol. 24, no. 4, Faculté des sciences de Toulouse, 2015, pp. 781–800, doi:10.5802/afst.1464. short: M. Erbar, J. Maas, P. Tetali, Annales de La Faculté Des Sciences de Toulouse 24 (2015) 781–800. date_created: 2018-12-11T11:53:10Z date_published: 2015-01-01T00:00:00Z date_updated: 2023-10-18T07:48:28Z day: '01' department: - _id: JaMa doi: 10.5802/afst.1464 external_id: arxiv: - '1409.8605' intvolume: ' 24' issue: '4' language: - iso: eng main_file_link: - open_access: '1' url: http://arxiv.org/abs/1409.8605 month: '01' oa: 1 oa_version: Preprint page: 781 - 800 publication: Annales de la faculté des sciences de Toulouse publication_status: published publisher: Faculté des sciences de Toulouse publist_id: '5520' quality_controlled: '1' status: public title: Discrete Ricci curvature bounds for Bernoulli-Laplace and random transposition models type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 24 year: '2015' ... --- _id: '14303' abstract: - lang: eng text: Scaffolded DNA origami enables the fabrication of a variety of complex nanostructures that promise utility in diverse fields of application, ranging from biosensing over advanced therapeutics to metamaterials. The broad applicability of DNA origami as a material beyond the level of proof-of-concept studies critically depends, among other factors, on the availability of large amounts of pure single-stranded scaffold DNA. Here, we present a method for the efficient production of M13 bacteriophage-derived genomic DNA using high-cell-density fermentation of Escherichia coli in stirred-tank bioreactors. We achieve phage titers of up to 1.6 × 1014 plaque-forming units per mL. Downstream processing yields up to 410 mg of high-quality single-stranded DNA per one liter reaction volume, thus upgrading DNA origami-based nanotechnology from the milligram to the gram scale. article_processing_charge: No article_type: letter_note author: - first_name: B full_name: Kick, B last_name: Kick - first_name: Florian M full_name: Praetorius, Florian M id: dfec9381-4341-11ee-8fd8-faa02bba7d62 last_name: Praetorius - first_name: H full_name: Dietz, H last_name: Dietz - first_name: D full_name: Weuster-Botz, D last_name: Weuster-Botz citation: ama: Kick B, Praetorius FM, Dietz H, Weuster-Botz D. Efficient production of single-stranded phage DNA as scaffolds for DNA origami. Nano Letters. 2015;15(7):4672-4676. doi:10.1021/acs.nanolett.5b01461 apa: Kick, B., Praetorius, F. M., Dietz, H., & Weuster-Botz, D. (2015). Efficient production of single-stranded phage DNA as scaffolds for DNA origami. Nano Letters. ACS Publications. https://doi.org/10.1021/acs.nanolett.5b01461 chicago: Kick, B, Florian M Praetorius, H Dietz, and D Weuster-Botz. “Efficient Production of Single-Stranded Phage DNA as Scaffolds for DNA Origami.” Nano Letters. ACS Publications, 2015. https://doi.org/10.1021/acs.nanolett.5b01461. ieee: B. Kick, F. M. Praetorius, H. Dietz, and D. Weuster-Botz, “Efficient production of single-stranded phage DNA as scaffolds for DNA origami,” Nano Letters, vol. 15, no. 7. ACS Publications, pp. 4672–4676, 2015. ista: Kick B, Praetorius FM, Dietz H, Weuster-Botz D. 2015. Efficient production of single-stranded phage DNA as scaffolds for DNA origami. Nano Letters. 15(7), 4672–4676. mla: Kick, B., et al. “Efficient Production of Single-Stranded Phage DNA as Scaffolds for DNA Origami.” Nano Letters, vol. 15, no. 7, ACS Publications, 2015, pp. 4672–76, doi:10.1021/acs.nanolett.5b01461. short: B. Kick, F.M. Praetorius, H. Dietz, D. Weuster-Botz, Nano Letters 15 (2015) 4672–4676. date_created: 2023-09-06T12:52:47Z date_published: 2015-06-01T00:00:00Z date_updated: 2023-11-07T11:56:32Z day: '01' doi: 10.1021/acs.nanolett.5b01461 extern: '1' external_id: pmid: - '26028443' intvolume: ' 15' issue: '7' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1021/acs.nanolett.5b01461 month: '06' oa: 1 oa_version: Published Version page: 4672-4676 pmid: 1 publication: Nano Letters publication_identifier: eissn: - 1530-6992 issn: - 1530-6984 publication_status: published publisher: ACS Publications quality_controlled: '1' status: public title: Efficient production of single-stranded phage DNA as scaffolds for DNA origami type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 15 year: '2015' ...