المؤلفون: Yang Yu, Hong Sun

المصدر: Frontiers in Psychology, Vol 14 (2023)

مصطلحات موضوعية: shyness, IGT, decision-making, withdrawal behavior, rewards and penalties, Psychology, BF1-990

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1292096/full; https://doaj.org/toc/1664-1078

URL الوصول: https://doaj.org/article/5a2186affbce4c88a8af39c743974ab6

المؤلفون: Yunduan Gao

المصدر: Land, Vol 12, Iss 1860, p 1860 (2023)

مصطلحات موضوعية: difference-in-difference model, forestry carbon sink, land use efficiency, public opinion, rewards and penalties, Agriculture

Relation: https://www.mdpi.com/2073-445X/12/10/1860; https://doaj.org/toc/2073-445X; https://doaj.org/article/66623bb99ccc47759964d046fbdbec56

الاتاحة: https://doi.org/10.3390/land12101860
https://doaj.org/article/66623bb99ccc47759964d046fbdbec56

المؤلفون: Mahmoodi, Jasmin, Patel, Martin, Brosch, Tobias

المصدر: ISSN: 0272-4944 ; Journal of Environmental Psychology, vol. 76 (2021) 101625.

مصطلحات موضوعية: info:eu-repo/classification/ddc/128.37, info:eu-repo/classification/ddc/150, info:eu-repo/classification/ddc/333.7-333.9, info:eu-repo/classification/ddc/550, Decision biases, Rewards and penalties, Immediate/delayed incentives, Commitment, Environmental sustainability, Consumer choices, Commitment devices

Relation: https://archive-ouverte.unige.ch/unige:154549; unige:154549

الاتاحة: https://archive-ouverte.unige.ch/unige:154549

المؤلفون: Yang Yu, Hong Sun

مصطلحات موضوعية: Applied Psychology, Clinical Psychology, Developmental and Educational Psychology, Neuroscience and Physiological Psychology, Organizational Behavioral Psychology, Personality, Social and Criminal Psychology, Gender Psychology, Health, Clinical and Counselling Psychology, Industrial and Organisational Psychology, Psychology not elsewhere classified, Psychology and Cognitive Sciences not elsewhere classified, shyness, IGT, decision-making, withdrawal behavior, rewards and penalties

Relation: https://figshare.com/articles/dataset/Table_1_Decision-making_style_explains_the_withdrawal_behavior_of_shy_individuals_evidence_from_Chinese_college_students_XLSX/24892524

الاتاحة: https://doi.org/10.3389/fpsyg.2023.1292096.s002
https://figshare.com/articles/dataset/Table_1_Decision-making_style_explains_the_withdrawal_behavior_of_shy_individuals_evidence_from_Chinese_college_students_XLSX/24892524

المؤلفون: Mahmoodi, Jasmin, Prasanna, Ashreeta, Hille, Stefanie Lena, Patel, Martin, Brosch, Tobias

المصدر: ISSN: 0301-4215 ; Energy Policy, vol. 123 (2018) p. 31-40.

مصطلحات موضوعية: info:eu-repo/classification/ddc/128.37, info:eu-repo/classification/ddc/150, info:eu-repo/classification/ddc/333.7-333.9, info:eu-repo/classification/ddc/550, Incentives, Rewards and penalties, Electricity tariff design, Conjoint analysis, Consumer preferences, Behavioral economics

Relation: https://archive-ouverte.unige.ch/unige:115138; unige:115138

الاتاحة: https://archive-ouverte.unige.ch/unige:115138

المؤلفون: Alessio Capello, Gabriele Campodonico, Riccardo Berta, Alessandro De Gloria, Tommaso Taccioli, Federico Davio, Luca Lazzaroni, Marianna Cossu, Francesco Bellotti

المصدر: Lecture Notes in Computer Science ISBN: 9783030921811
Lecture Notes in Computer Science

مصطلحات موضوعية: Deep Q learning, Automotive driving, Serious games, business.industry, Computer science, Autonomous agent, Autonomous agents, Automotive industry, Metrics, Reinforcement learning, Rewards and penalties, Stable baselines, Systems engineering, business

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cef7dd32fc744760335ab7ca3dcf7f81
https://hdl.handle.net/11567/1094517

المؤلفون: Martin Kumar Patel, Tobias Brosch, Jasmin Mahmoodi

المصدر: Journal of Environmental Psychology, Vol. 76 (2021) P. 101625

مصطلحات موضوعية: Commitment devices, Social Psychology, Tariff, 050109 social psychology, Context (language use), Commit, 050105 experimental psychology, ddc:150, Loss aversion, ddc:550, 0501 psychology and cognitive sciences, Rewards and penalties, Environmental sustainability, Temporal discounting, Applied Psychology, ddc:333.7-333.9, Decision biases, Commitment device, Energy products, Public economics, 05 social sciences, ddc:128.37, Immediate/delayed incentives, Incentive, Commitment, Consumer choices, Business

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28a63f422f60e163b2eea6df2ff2b378
https://doi.org/10.1016/j.jenvp.2021.101625

المؤلفون: Kazuteru MIYAZAKI, 宮崎 和光

المصدر: 計測と制御 / Journal of The Society of Instrument and Control Engineers. 2013, 52(5):462

المؤلفون: Stefanie Lena Hille, Martin Kumar Patel, Tobias Brosch, Ashreeta Prasanna, Jasmin Mahmoodi

المصدر: Energy Policy, Vol. 123 (2018) pp. 31-40

مصطلحات موضوعية: 020209 energy, Tariff, ComputerApplications_COMPUTERSINOTHERSYSTEMS, 02 engineering and technology, Management, Monitoring, Policy and Law, Behavioral economics, Energy policy, Microeconomics, ddc:150, Loss aversion, 0502 economics and business, Incentives, 0202 electrical engineering, electronic engineering, information engineering, ddc:550, Rewards and penalties, 050207 economics, Conjoint analysis, Consumption (economics), ddc:333.7-333.9, Consumer preferences, business.industry, 05 social sciences, Electricity tariff design, ddc:128.37, General Energy, Incentive, Business, Electricity

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c566a2d3a72304b86f2839e418391de2
https://archive-ouverte.unige.ch/unige:115138

المؤلفون: Atiyah, P. S., author

المصدر: The Rise and Fall of Freedom of Contract, 1985.

الاتاحة: https://doi.org/10.1093/acprof:oso/9780198255277.003.0010

المؤلفون: 林静

المساهمون: 李国安

المصدر: http://210.34.4.13:8080/lunwen/detail.asp?serial=31945.

مصطلحات موضوعية: 监管合作, G20峰会, 奖惩机制, regulatory cooperation, G20 Summit, Mechanism of rewards and penalties

Relation: http://210.34.4.28/opac/openlink.php?strText=28668&doctype=ALL&strSearchType=callno; http://dspace.xmu.edu.cn/handle/2288/24016

الاتاحة: http://dspace.xmu.edu.cn/handle/2288/24016

المؤلفون: Lašáková, Lenka

المساهمون: Poledňová, Ivana, Novotný, Jan Sebastian

مصطلحات موضوعية: Učení, motivace, motiv, pud, školní úspěšnost, klima třídy, odměny a tresty, zájmy, žák, dítě, Learning, motivation, motive, instinct, school success, climate of clase, rewards and penalties, interest, student, child

وصف الملف: 47 s.; 294184 bytes; application/pdf

Relation: Elektronický archiv Knihovny UTB; http://hdl.handle.net/10563/8409; 1016079

الاتاحة: http://hdl.handle.net/10563/8409

المؤلفون: Polášek, Tomáš, Bobák, Petr, Glós, Kristián

مصطلحات الفهرس: Hlboké učenie, Strojové učenie, Umelá inteligencia, Posilované učenie, Imitačné učenie, GAIL, Q-učenie, PPO, knihovňa ML-agents, Unity, Herné prostredia, Agenti, odmeny, odmeny a tresty, Genetické algoritmy, neuroevolúcia, NEAT, Evolučné stratégie, Markovské rozhodovacie procesy, neurónové siete, Deep Learning, Machine learning, AI, Reinforcement Learning, Imitation Learning, Q-Learning, Proximal Policy Optimalization, ML-agents, Game environments, Agents, rewards and penalties, Genetic Algorithms, Neuroevolution, Neuroevolution of Augmented Topologies, Evolution Strategies, Markov Decision Process, Neural network, Text

URL: http://hdl.handle.net/11012/199428

المؤلفون: Polášek, Tomáš, Bobák, Petr, Glós, Kristián

مصطلحات الفهرس: Hlboké učenie, Strojové učenie, Umelá inteligencia, Posilované učenie, Imitačné učenie, GAIL, Q-učenie, PPO, knihovňa ML-agents, Unity, Herné prostredia, Agenti, odmeny, odmeny a tresty, Genetické algoritmy, neuroevolúcia, NEAT, Evolučné stratégie, Markovské rozhodovacie procesy, neurónové siete, Deep Learning, Machine learning, AI, Reinforcement Learning, Imitation Learning, Q-Learning, Proximal Policy Optimalization, ML-agents, Game environments, Agents, rewards and penalties, Genetic Algorithms, Neuroevolution, Neuroevolution of Augmented Topologies, Evolution Strategies, Markov Decision Process, Neural network, Text

URL: http://hdl.handle.net/11012/199428

المؤلفون: Polášek, Tomáš, Bobák, Petr

مصطلحات الفهرس: Hlboké učenie, Strojové učenie, Umelá inteligencia, Posilované učenie, Imitačné učenie, GAIL, Q-učenie, PPO, knihovňa ML-agents, Unity, Herné prostredia, Agenti, odmeny, odmeny a tresty, Genetické algoritmy, neuroevolúcia, NEAT, Evolučné stratégie, Markovské rozhodovacie procesy, neurónové siete, Deep Learning, Machine learning, AI, Reinforcement Learning, Imitation Learning, Q-Learning, Proximal Policy Optimalization, ML-agents, Game environments, Agents, rewards and penalties, Genetic Algorithms, Neuroevolution, Neuroevolution of Augmented Topologies, Evolution Strategies, Markov Decision Process, Neural network, Text

URL: http://hdl.handle.net/11012/199428

المؤلفون: Polášek, Tomáš, Bobák, Petr

مصطلحات الفهرس: Hlboké učenie, Strojové učenie, Umelá inteligencia, Posilované učenie, Imitačné učenie, GAIL, Q-učenie, PPO, knihovňa ML-agents, Unity, Herné prostredia, Agenti, odmeny, odmeny a tresty, Genetické algoritmy, neuroevolúcia, NEAT, Evolučné stratégie, Markovské rozhodovacie procesy, neurónové siete, Deep Learning, Machine learning, AI, Reinforcement Learning, Imitation Learning, Q-Learning, Proximal Policy Optimalization, ML-agents, Game environments, Agents, rewards and penalties, Genetic Algorithms, Neuroevolution, Neuroevolution of Augmented Topologies, Evolution Strategies, Markov Decision Process, Neural network, Text

URL: http://hdl.handle.net/11012/199428

المؤلفون: Polášek, Tomáš, Bobák, Petr

مصطلحات الفهرس: Hlboké učenie, Strojové učenie, Umelá inteligencia, Posilované učenie, Imitačné učenie, GAIL, Q-učenie, PPO, knihovňa ML-agents, Unity, Herné prostredia, Agenti, odmeny, odmeny a tresty, Genetické algoritmy, neuroevolúcia, NEAT, Evolučné stratégie, Markovské rozhodovacie procesy, neurónové siete, Deep Learning, Machine learning, AI, Reinforcement Learning, Imitation Learning, Q-Learning, Proximal Policy Optimalization, ML-agents, Game environments, Agents, rewards and penalties, Genetic Algorithms, Neuroevolution, Neuroevolution of Augmented Topologies, Evolution Strategies, Markov Decision Process, Neural network, Text

URL: http://hdl.handle.net/11012/199428

المؤلفون: Polášek, Tomáš, Bobák, Petr, Glós, Kristián

مصطلحات الفهرس: Hlboké učenie, Strojové učenie, Umelá inteligencia, Posilované učenie, Imitačné učenie, GAIL, Q-učenie, PPO, knihovňa ML-agents, Unity, Herné prostredia, Agenti, odmeny, odmeny a tresty, Genetické algoritmy, neuroevolúcia, NEAT, Evolučné stratégie, Markovské rozhodovacie procesy, neurónové siete, Deep Learning, Machine learning, AI, Reinforcement Learning, Imitation Learning, Q-Learning, Proximal Policy Optimalization, ML-agents, Game environments, Agents, rewards and penalties, Genetic Algorithms, Neuroevolution, Neuroevolution of Augmented Topologies, Evolution Strategies, Markov Decision Process, Neural network, Text

URL: http://hdl.handle.net/11012/199428