Probabilistic sensitivity of Nash equilibria in multi-agent games: a wait-and-judge approach Article Swipe
Filiberto Fele
,
Kostas Margellos
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1109/cdc40024.2019.9028952
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1109/cdc40024.2019.9028952
Motivated by electric vehicle charging control problems, we consider multi-agent noncooperative games where, following a data driven paradigm, unmodelled externalities acting on the players' objective functions are represented by means of scenarios. Overcoming the nondifferentiability characterizing such a setup, we retrieve a Nash equilibrium in a decentralised manner. Then, building upon recent developments in scenario-based optimization, we accompany the given solution with an a posteriori probabilistic robustness certificate, providing confidence that the computed equilibrium remains unaffected by an "unseen" uncertainty realisation. The latter constitutes, to the best of our knowledge, the first application of the so-called scenario approach to multi-agent Nash equilibrium problems. The efficacy of our approach is demonstrated in simulation for the charging coordination of an electric vehicle fleet.
Related Topics
Concepts
Nash equilibrium
Probabilistic logic
Robustness (evolution)
Computer science
Mathematical optimization
Certificate
Best response
Coordination game
Sensitivity (control systems)
Realisation
Mathematical economics
Mathematics
Artificial intelligence
Algorithm
Engineering
Chemistry
Physics
Quantum mechanics
Biochemistry
Gene
Electronic engineering
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1109/cdc40024.2019.9028952
- OA Status
- green
- References
- 36
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W2923656989
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2923656989Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/cdc40024.2019.9028952Digital Object Identifier
- Title
-
Probabilistic sensitivity of Nash equilibria in multi-agent games: a wait-and-judge approachWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-12-01Full publication date if available
- Authors
-
Filiberto Fele, Kostas MargellosList of authors in order
- Landing page
-
https://doi.org/10.1109/cdc40024.2019.9028952Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/abs/1903.10387Direct OA link when available
- Concepts
-
Nash equilibrium, Probabilistic logic, Robustness (evolution), Computer science, Mathematical optimization, Certificate, Best response, Coordination game, Sensitivity (control systems), Realisation, Mathematical economics, Mathematics, Artificial intelligence, Algorithm, Engineering, Chemistry, Physics, Quantum mechanics, Biochemistry, Gene, Electronic engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
36Number of works referenced by this work
- Related works (count)
-
20Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W2923656989 |
|---|---|
| doi | https://doi.org/10.1109/cdc40024.2019.9028952 |
| ids.doi | https://doi.org/10.1109/cdc40024.2019.9028952 |
| ids.mag | 2923656989 |
| ids.openalex | https://openalex.org/W2923656989 |
| fwci | |
| type | preprint |
| title | Probabilistic sensitivity of Nash equilibria in multi-agent games: a wait-and-judge approach |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10471 |
| topics[0].field.id | https://openalex.org/fields/20 |
| topics[0].field.display_name | Economics, Econometrics and Finance |
| topics[0].score | 0.9850999712944031 |
| topics[0].domain.id | https://openalex.org/domains/2 |
| topics[0].domain.display_name | Social Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2002 |
| topics[0].subfield.display_name | Economics and Econometrics |
| topics[0].display_name | Climate Change Policy and Economics |
| topics[1].id | https://openalex.org/T11182 |
| topics[1].field.id | https://openalex.org/fields/18 |
| topics[1].field.display_name | Decision Sciences |
| topics[1].score | 0.9842000007629395 |
| topics[1].domain.id | https://openalex.org/domains/2 |
| topics[1].domain.display_name | Social Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1803 |
| topics[1].subfield.display_name | Management Science and Operations Research |
| topics[1].display_name | Auction Theory and Applications |
| topics[2].id | https://openalex.org/T12617 |
| topics[2].field.id | https://openalex.org/fields/21 |
| topics[2].field.display_name | Energy |
| topics[2].score | 0.9828000068664551 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2105 |
| topics[2].subfield.display_name | Renewable Energy, Sustainability and the Environment |
| topics[2].display_name | Energy, Environment, and Transportation Policies |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C46814582 |
| concepts[0].level | 2 |
| concepts[0].score | 0.7887189388275146 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q23389 |
| concepts[0].display_name | Nash equilibrium |
| concepts[1].id | https://openalex.org/C49937458 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6881440877914429 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q2599292 |
| concepts[1].display_name | Probabilistic logic |
| concepts[2].id | https://openalex.org/C63479239 |
| concepts[2].level | 3 |
| concepts[2].score | 0.6399887800216675 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q7353546 |
| concepts[2].display_name | Robustness (evolution) |
| concepts[3].id | https://openalex.org/C41008148 |
| concepts[3].level | 0 |
| concepts[3].score | 0.6395421624183655 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[3].display_name | Computer science |
| concepts[4].id | https://openalex.org/C126255220 |
| concepts[4].level | 1 |
| concepts[4].score | 0.580508828163147 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q141495 |
| concepts[4].display_name | Mathematical optimization |
| concepts[5].id | https://openalex.org/C96865113 |
| concepts[5].level | 2 |
| concepts[5].score | 0.5574926733970642 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q2946816 |
| concepts[5].display_name | Certificate |
| concepts[6].id | https://openalex.org/C32407928 |
| concepts[6].level | 3 |
| concepts[6].score | 0.5440366864204407 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q2733833 |
| concepts[6].display_name | Best response |
| concepts[7].id | https://openalex.org/C107257861 |
| concepts[7].level | 2 |
| concepts[7].score | 0.47442716360092163 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q656316 |
| concepts[7].display_name | Coordination game |
| concepts[8].id | https://openalex.org/C21200559 |
| concepts[8].level | 2 |
| concepts[8].score | 0.45676329731941223 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q7451068 |
| concepts[8].display_name | Sensitivity (control systems) |
| concepts[9].id | https://openalex.org/C2779462738 |
| concepts[9].level | 2 |
| concepts[9].score | 0.42193490266799927 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q17146409 |
| concepts[9].display_name | Realisation |
| concepts[10].id | https://openalex.org/C144237770 |
| concepts[10].level | 1 |
| concepts[10].score | 0.30017992854118347 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q747534 |
| concepts[10].display_name | Mathematical economics |
| concepts[11].id | https://openalex.org/C33923547 |
| concepts[11].level | 0 |
| concepts[11].score | 0.15258324146270752 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[11].display_name | Mathematics |
| concepts[12].id | https://openalex.org/C154945302 |
| concepts[12].level | 1 |
| concepts[12].score | 0.148082435131073 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[12].display_name | Artificial intelligence |
| concepts[13].id | https://openalex.org/C11413529 |
| concepts[13].level | 1 |
| concepts[13].score | 0.12673553824424744 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q8366 |
| concepts[13].display_name | Algorithm |
| concepts[14].id | https://openalex.org/C127413603 |
| concepts[14].level | 0 |
| concepts[14].score | 0.11512276530265808 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[14].display_name | Engineering |
| concepts[15].id | https://openalex.org/C185592680 |
| concepts[15].level | 0 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q2329 |
| concepts[15].display_name | Chemistry |
| concepts[16].id | https://openalex.org/C121332964 |
| concepts[16].level | 0 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[16].display_name | Physics |
| concepts[17].id | https://openalex.org/C62520636 |
| concepts[17].level | 1 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q944 |
| concepts[17].display_name | Quantum mechanics |
| concepts[18].id | https://openalex.org/C55493867 |
| concepts[18].level | 1 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q7094 |
| concepts[18].display_name | Biochemistry |
| concepts[19].id | https://openalex.org/C104317684 |
| concepts[19].level | 2 |
| concepts[19].score | 0.0 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q7187 |
| concepts[19].display_name | Gene |
| concepts[20].id | https://openalex.org/C24326235 |
| concepts[20].level | 1 |
| concepts[20].score | 0.0 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q126095 |
| concepts[20].display_name | Electronic engineering |
| keywords[0].id | https://openalex.org/keywords/nash-equilibrium |
| keywords[0].score | 0.7887189388275146 |
| keywords[0].display_name | Nash equilibrium |
| keywords[1].id | https://openalex.org/keywords/probabilistic-logic |
| keywords[1].score | 0.6881440877914429 |
| keywords[1].display_name | Probabilistic logic |
| keywords[2].id | https://openalex.org/keywords/robustness |
| keywords[2].score | 0.6399887800216675 |
| keywords[2].display_name | Robustness (evolution) |
| keywords[3].id | https://openalex.org/keywords/computer-science |
| keywords[3].score | 0.6395421624183655 |
| keywords[3].display_name | Computer science |
| keywords[4].id | https://openalex.org/keywords/mathematical-optimization |
| keywords[4].score | 0.580508828163147 |
| keywords[4].display_name | Mathematical optimization |
| keywords[5].id | https://openalex.org/keywords/certificate |
| keywords[5].score | 0.5574926733970642 |
| keywords[5].display_name | Certificate |
| keywords[6].id | https://openalex.org/keywords/best-response |
| keywords[6].score | 0.5440366864204407 |
| keywords[6].display_name | Best response |
| keywords[7].id | https://openalex.org/keywords/coordination-game |
| keywords[7].score | 0.47442716360092163 |
| keywords[7].display_name | Coordination game |
| keywords[8].id | https://openalex.org/keywords/sensitivity |
| keywords[8].score | 0.45676329731941223 |
| keywords[8].display_name | Sensitivity (control systems) |
| keywords[9].id | https://openalex.org/keywords/realisation |
| keywords[9].score | 0.42193490266799927 |
| keywords[9].display_name | Realisation |
| keywords[10].id | https://openalex.org/keywords/mathematical-economics |
| keywords[10].score | 0.30017992854118347 |
| keywords[10].display_name | Mathematical economics |
| keywords[11].id | https://openalex.org/keywords/mathematics |
| keywords[11].score | 0.15258324146270752 |
| keywords[11].display_name | Mathematics |
| keywords[12].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[12].score | 0.148082435131073 |
| keywords[12].display_name | Artificial intelligence |
| keywords[13].id | https://openalex.org/keywords/algorithm |
| keywords[13].score | 0.12673553824424744 |
| keywords[13].display_name | Algorithm |
| keywords[14].id | https://openalex.org/keywords/engineering |
| keywords[14].score | 0.11512276530265808 |
| keywords[14].display_name | Engineering |
| language | en |
| locations[0].id | doi:10.1109/cdc40024.2019.9028952 |
| locations[0].is_oa | False |
| locations[0].source | |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | proceedings-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | 2019 IEEE 58th Conference on Decision and Control (CDC) |
| locations[0].landing_page_url | https://doi.org/10.1109/cdc40024.2019.9028952 |
| locations[1].id | mag:2923656989 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400194 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | True |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | arXiv (Cornell University) |
| locations[1].source.host_organization | https://openalex.org/I205783295 |
| locations[1].source.host_organization_name | Cornell University |
| locations[1].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | arXiv (Cornell University) |
| locations[1].landing_page_url | https://arxiv.org/abs/1903.10387 |
| locations[2].id | pmh:oai:ora.ox.ac.uk:uuid:077a79ea-21ad-4f53-9e78-3be0586bdf24 |
| locations[2].is_oa | False |
| locations[2].source.id | https://openalex.org/S4306402636 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | Oxford University Research Archive (ORA) (University of Oxford) |
| locations[2].source.host_organization | https://openalex.org/I40120149 |
| locations[2].source.host_organization_name | University of Oxford |
| locations[2].source.host_organization_lineage | https://openalex.org/I40120149 |
| locations[2].license | |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | Conference item |
| locations[2].license_id | |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Symplectic Elements at Oxford |
| locations[2].landing_page_url | https://ora.ox.ac.uk/objects/uuid:077a79ea-21ad-4f53-9e78-3be0586bdf24 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5044039502 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-2081-0014 |
| authorships[0].author.display_name | Filiberto Fele |
| authorships[0].countries | GB |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I40120149 |
| authorships[0].affiliations[0].raw_affiliation_string | University of Oxford,Department of Engineering Science,UK,OX1 3PJ |
| authorships[0].institutions[0].id | https://openalex.org/I40120149 |
| authorships[0].institutions[0].ror | https://ror.org/052gg0110 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I40120149 |
| authorships[0].institutions[0].country_code | GB |
| authorships[0].institutions[0].display_name | University of Oxford |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Filiberto Fele |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | University of Oxford,Department of Engineering Science,UK,OX1 3PJ |
| authorships[1].author.id | https://openalex.org/A5000801527 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-8865-8568 |
| authorships[1].author.display_name | Kostas Margellos |
| authorships[1].countries | GB |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I40120149 |
| authorships[1].affiliations[0].raw_affiliation_string | University of Oxford,Department of Engineering Science,UK,OX1 3PJ |
| authorships[1].institutions[0].id | https://openalex.org/I40120149 |
| authorships[1].institutions[0].ror | https://ror.org/052gg0110 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I40120149 |
| authorships[1].institutions[0].country_code | GB |
| authorships[1].institutions[0].display_name | University of Oxford |
| authorships[1].author_position | last |
| authorships[1].raw_author_name | Kostas Margellos |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | University of Oxford,Department of Engineering Science,UK,OX1 3PJ |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://arxiv.org/abs/1903.10387 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Probabilistic sensitivity of Nash equilibria in multi-agent games: a wait-and-judge approach |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10471 |
| primary_topic.field.id | https://openalex.org/fields/20 |
| primary_topic.field.display_name | Economics, Econometrics and Finance |
| primary_topic.score | 0.9850999712944031 |
| primary_topic.domain.id | https://openalex.org/domains/2 |
| primary_topic.domain.display_name | Social Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2002 |
| primary_topic.subfield.display_name | Economics and Econometrics |
| primary_topic.display_name | Climate Change Policy and Economics |
| related_works | https://openalex.org/W2965728938, https://openalex.org/W2810208564, https://openalex.org/W1865065689, https://openalex.org/W2139456106, https://openalex.org/W2977509914, https://openalex.org/W1972768959, https://openalex.org/W2361296603, https://openalex.org/W2335670797, https://openalex.org/W2768579399, https://openalex.org/W2171668819, https://openalex.org/W2515683608, https://openalex.org/W2567952474, https://openalex.org/W2042464810, https://openalex.org/W2475891144, https://openalex.org/W2593936609, https://openalex.org/W2169758488, https://openalex.org/W3090662669, https://openalex.org/W3149796662, https://openalex.org/W3130217624, https://openalex.org/W3109427444 |
| cited_by_count | 0 |
| locations_count | 3 |
| best_oa_location.id | mag:2923656989 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400194 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | arXiv (Cornell University) |
| best_oa_location.source.host_organization | https://openalex.org/I205783295 |
| best_oa_location.source.host_organization_name | Cornell University |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| best_oa_location.license | |
| best_oa_location.pdf_url | |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | arXiv (Cornell University) |
| best_oa_location.landing_page_url | https://arxiv.org/abs/1903.10387 |
| primary_location.id | doi:10.1109/cdc40024.2019.9028952 |
| primary_location.is_oa | False |
| primary_location.source | |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | proceedings-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | 2019 IEEE 58th Conference on Decision and Control (CDC) |
| primary_location.landing_page_url | https://doi.org/10.1109/cdc40024.2019.9028952 |
| publication_date | 2019-12-01 |
| publication_year | 2019 |
| referenced_works | https://openalex.org/W2965728938, https://openalex.org/W2481731143, https://openalex.org/W2131295967, https://openalex.org/W2018878471, https://openalex.org/W2026355589, https://openalex.org/W6785333250, https://openalex.org/W2080717363, https://openalex.org/W4250744658, https://openalex.org/W2122770475, https://openalex.org/W2188009703, https://openalex.org/W2061627126, https://openalex.org/W2008796819, https://openalex.org/W2086681812, https://openalex.org/W2485473371, https://openalex.org/W2783914570, https://openalex.org/W6800216509, https://openalex.org/W2125107769, https://openalex.org/W2068060907, https://openalex.org/W2783147085, https://openalex.org/W2066111511, https://openalex.org/W2591158312, https://openalex.org/W6794655674, https://openalex.org/W2080544073, https://openalex.org/W2804583277, https://openalex.org/W2914260622, https://openalex.org/W2492629073, https://openalex.org/W2884651862, https://openalex.org/W2609681974, https://openalex.org/W2020608749, https://openalex.org/W2790380176, https://openalex.org/W2608695873, https://openalex.org/W2922325563, https://openalex.org/W6667251763, https://openalex.org/W2167412190, https://openalex.org/W2105555541, https://openalex.org/W1982698550 |
| referenced_works_count | 36 |
| abstract_inverted_index.a | 14, 37, 41, 45, 63 |
| abstract_inverted_index.an | 62, 77, 117 |
| abstract_inverted_index.by | 1, 28, 76 |
| abstract_inverted_index.in | 44, 53, 110 |
| abstract_inverted_index.is | 108 |
| abstract_inverted_index.of | 30, 87, 93, 105, 116 |
| abstract_inverted_index.on | 21 |
| abstract_inverted_index.to | 84, 98 |
| abstract_inverted_index.we | 7, 39, 56 |
| abstract_inverted_index.The | 81, 103 |
| abstract_inverted_index.are | 26 |
| abstract_inverted_index.for | 112 |
| abstract_inverted_index.our | 88, 106 |
| abstract_inverted_index.the | 22, 33, 58, 71, 85, 90, 94, 113 |
| abstract_inverted_index.Nash | 42, 100 |
| abstract_inverted_index.best | 86 |
| abstract_inverted_index.data | 15 |
| abstract_inverted_index.such | 36 |
| abstract_inverted_index.that | 70 |
| abstract_inverted_index.upon | 50 |
| abstract_inverted_index.with | 61 |
| abstract_inverted_index.Then, | 48 |
| abstract_inverted_index.first | 91 |
| abstract_inverted_index.games | 11 |
| abstract_inverted_index.given | 59 |
| abstract_inverted_index.means | 29 |
| abstract_inverted_index.acting | 20 |
| abstract_inverted_index.driven | 16 |
| abstract_inverted_index.fleet. | 120 |
| abstract_inverted_index.latter | 82 |
| abstract_inverted_index.recent | 51 |
| abstract_inverted_index.setup, | 38 |
| abstract_inverted_index.where, | 12 |
| abstract_inverted_index.control | 5 |
| abstract_inverted_index.manner. | 47 |
| abstract_inverted_index.remains | 74 |
| abstract_inverted_index.vehicle | 3, 119 |
| abstract_inverted_index."unseen" | 78 |
| abstract_inverted_index.approach | 97, 107 |
| abstract_inverted_index.building | 49 |
| abstract_inverted_index.charging | 4, 114 |
| abstract_inverted_index.computed | 72 |
| abstract_inverted_index.consider | 8 |
| abstract_inverted_index.efficacy | 104 |
| abstract_inverted_index.electric | 2, 118 |
| abstract_inverted_index.players' | 23 |
| abstract_inverted_index.retrieve | 40 |
| abstract_inverted_index.scenario | 96 |
| abstract_inverted_index.solution | 60 |
| abstract_inverted_index.Motivated | 0 |
| abstract_inverted_index.accompany | 57 |
| abstract_inverted_index.following | 13 |
| abstract_inverted_index.functions | 25 |
| abstract_inverted_index.objective | 24 |
| abstract_inverted_index.paradigm, | 17 |
| abstract_inverted_index.problems, | 6 |
| abstract_inverted_index.problems. | 102 |
| abstract_inverted_index.providing | 68 |
| abstract_inverted_index.so-called | 95 |
| abstract_inverted_index.Overcoming | 32 |
| abstract_inverted_index.confidence | 69 |
| abstract_inverted_index.knowledge, | 89 |
| abstract_inverted_index.posteriori | 64 |
| abstract_inverted_index.robustness | 66 |
| abstract_inverted_index.scenarios. | 31 |
| abstract_inverted_index.simulation | 111 |
| abstract_inverted_index.unaffected | 75 |
| abstract_inverted_index.unmodelled | 18 |
| abstract_inverted_index.application | 92 |
| abstract_inverted_index.equilibrium | 43, 73, 101 |
| abstract_inverted_index.multi-agent | 9, 99 |
| abstract_inverted_index.represented | 27 |
| abstract_inverted_index.uncertainty | 79 |
| abstract_inverted_index.certificate, | 67 |
| abstract_inverted_index.constitutes, | 83 |
| abstract_inverted_index.coordination | 115 |
| abstract_inverted_index.demonstrated | 109 |
| abstract_inverted_index.developments | 52 |
| abstract_inverted_index.realisation. | 80 |
| abstract_inverted_index.decentralised | 46 |
| abstract_inverted_index.externalities | 19 |
| abstract_inverted_index.optimization, | 55 |
| abstract_inverted_index.probabilistic | 65 |
| abstract_inverted_index.characterizing | 35 |
| abstract_inverted_index.noncooperative | 10 |
| abstract_inverted_index.scenario-based | 54 |
| abstract_inverted_index.nondifferentiability | 34 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| citation_normalized_percentile.value | 0.03040779 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |