On the public citation graph
https://doi.org/10.5555/3091125.3091185
0 signed · 70 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/ijhc.1997.0164openalex-snapshot
Bayesian learning in negotiation
inferredcites →https://doi.org/10.1007/3-540-45448-9_28openalex-snapshot
Optimal Negotiation Strategies for Agents with Incomplete Information
inferredcites →https://doi.org/10.1007/978-3-540-72502-2_3openalex-snapshot
On Efficient Procedures for Multi-issue Negotiation
inferredcites →https://doi.org/10.1007/978-3-540-76282-9_3openalex-snapshot
A Decentralized Model for Multi-Attribute Negotiations with Incomplete Information and General Utility Functions
inferredcites →https://doi.org/10.1007/978-3-540-92185-1_65openalex-snapshot
A Cascade Model for Externalities in Sponsored Search
inferredcites →https://doi.org/10.1007/978-3-642-30737-9_19openalex-snapshot
AgentK2: Compromising Strategy Based on Estimated Maximum Utility for Automated Negotiating Agents
inferredcites →https://doi.org/10.1007/978-3-642-35101-3_1openalex-snapshot
Measuring the Performance of Online Opponent Models in Automated Bilateral Negotiation
inferredcites →https://doi.org/10.1007/s10115-014-0798-zopenalex-snapshot
Heuristics for using CP-nets in utility-based negotiation without knowing utilities
inferredcites →https://doi.org/10.1007/s10458-006-9009-yopenalex-snapshot
An agent architecture for multi-attribute negotiation using incomplete preference information
inferredcites →https://doi.org/10.1007/s10458-010-9159-9openalex-snapshot
Addressing stability issues in mediated complex contract negotiations for constraint-based, non-monotonic utility spaces
inferredcites →https://doi.org/10.1007/s10458-015-9309-1openalex-snapshot
Learning about the opponent in automated bilateral negotiation: a comprehensive survey of opponent modeling techniques
inferredcites →https://doi.org/10.1007/s10726-008-9119-9openalex-snapshot
A Generic Framework for Automated Multi-attribute Negotiation
inferredcites →https://doi.org/10.1016/0004-3702(94)00021-ropenalex-snapshot
Multiagent negotiation under time constraints
inferredcites →https://doi.org/10.1016/c2009-0-03146-8openalex-snapshot
The Social Psychology of Bargaining and Negotiation
inferredcites →https://doi.org/10.1016/j.artint.2012.09.004openalex-snapshot
Evaluating practical negotiating agents: Results and analysis of the 2011 international competition
inferredcites →https://doi.org/10.1016/j.dss.2005.02.009openalex-snapshot
Intelligent agents for e-marketplace: Negotiation with issue trade-offs by fuzzy inference systems
inferredcites →https://doi.org/10.1016/j.eneco.2013.04.015openalex-snapshot
Power TAC: A competitive economic simulation of the smart grid
inferredcites →https://doi.org/10.1016/j.ijhcs.2005.08.001openalex-snapshot
Acquiring user tradeoff strategies and preferences for negotiating agents: A default-then-adjust method
inferredcites →https://doi.org/10.1016/s0004-3702(02)00290-4openalex-snapshot
Using similarity criteria to make issue trade-offs in automated negotiations
inferredcites →https://doi.org/10.1016/s0004-3702(03)00041-9openalex-snapshot
A fuzzy constraint based model for bilateral, multi-issue negotiations in semi-competitive environments
inferredcites →https://doi.org/10.1109/mobiq.2004.1331743openalex-snapshot
Minimising intrusiveness in pervasive computing environments using multi-agent negotiation
inferredcites →https://doi.org/10.1109/wi-iat.2013.91openalex-snapshot
Predicting the Performance of Opponent Models in Automated Negotiation
inferredcites →https://doi.org/10.1109/wi-iat.2015.161openalex-snapshot
Optimal Negotiation Decision Functions in Time-Sensitive Domains
inferredcites →https://doi.org/10.1111/j.1467-8640.2012.00463.xopenalex-snapshot
GENIUS: AN INTEGRATED ENVIRONMENT FOR SUPPORTING THE DESIGN OF GENERIC AUTOMATED NEGOTIATORS
inferredcites →https://doi.org/10.1145/1082473.1082534openalex-snapshot
Modeling opponent decision in repeated one-shot negotiations
inferredcites →https://doi.org/10.1145/1341531.1341545openalex-snapshot
An experimental comparison of click position-bias models
inferredcites →https://doi.org/10.1145/2133806.2133825openalex-snapshot
Putting the 'smarts' into the smart grid
inferredcites →https://doi.org/10.1145/964442.964449openalex-snapshot
Designing example-critiquing interaction
inferredcites →https://doi.org/10.1177/0022002786030004003openalex-snapshot
Time Pressure and the Development of Integrative Agreements in Bilateral Negotiations
inferredcites →https://doi.org/10.1287/opre.31.5.835openalex-snapshot
Bargaining under Incomplete Information
inferredcites →https://doi.org/10.1613/jair.1234openalex-snapshot
CP-nets: A Tool for Representing and Reasoning withConditional Ceteris Paribus Preference Statements
inferredcites →https://doi.org/10.3233/978-1-61499-098-7-834openalex-snapshot
Negotiating Concurrently with Unknown Opponents in omplex, Real-Time Domains
inferredcites →https://doi.org/10.3233/mgs-160248openalex-snapshot
Multi-party negotiation with preferences rather than utilities
inferredcites →https://doi.org/10.5555/1402383.1402433openalex-snapshot
Opponent modelling in automated multi-issue negotiation using Bayesian learning
inferredcites →https://doi.org/10.5555/1838206.1838338openalex-snapshot
Automated negotiation with decommitment for dynamic resource allocation in cloud computing
inferredcites →https://doi.org/10.5555/777092.777132openalex-snapshot
A POMDP formulation of preference elicitation problems
inferredcites →https://doi.org/10.5591/978-1-57735-516-8/ijcai11-080openalex-snapshot
Using Gaussian processes to optimise concession in complex negotiations against unknown opponents
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.5260284openalex-extracted
Cross-Cultural AI Negotiation Agents for International Conflict Resolution: A Framework for Mediating Complex Multi-Party Negotiations across Different Value Systems
inferred← citeshttps://doi.org/10.1007/978-3-030-03098-8_42openalex-snapshot
FastVOI: Efficient Utility Elicitation During Negotiations
inferred← citeshttps://doi.org/10.1007/978-3-030-17294-7_9openalex-snapshot
Automated Negotiations Under User Preference Uncertainty: A Linear Programming Approach
inferred← citeshttps://doi.org/10.1007/978-3-030-69322-0_23openalex-snapshot
NegMAS: A Platform for Automated Negotiations
inferred← citeshttps://doi.org/10.1007/978-3-030-76666-5_18openalex-snapshot
Self-sufficient, Self-directed, and Interdependent Negotiation Systems: A Roadmap Toward Autonomous Negotiation Agents
inferred← citeshttps://doi.org/10.1007/978-3-319-71679-4_10openalex-snapshot
Computers That Negotiate on Our Behalf: Major Challenges for Self-sufficient, Self-directed, and Interdependent Negotiating Agents
inferred← citeshttps://doi.org/10.1007/978-3-658-34326-2_7openalex-snapshot
Einsatz Künstlicher Intelligenz in Einkaufsverhandlungen – Status quo und Anwendungsfälle
inferred← citeshttps://doi.org/10.1007/978-981-15-5869-6_7openalex-snapshot
ANAC 2017: Repeated Multilateral Negotiation League
inferred← citeshttps://doi.org/10.1007/s10115-023-01872-zopenalex-snapshot
CP-nets-based user preference learning in automated negotiation through completion and correction
inferred← citeshttps://doi.org/10.1007/s10458-019-09433-xopenalex-snapshot
Multi-objective multi-agent decision making: a utility-based analysis and survey
inferred← citeshttps://doi.org/10.1007/s10458-021-09512-yopenalex-snapshot
Concurrent local negotiations with a global utility function: a greedy approach
inferred← citeshttps://doi.org/10.1007/s10489-021-02638-2openalex-snapshot
An opponent-adaptive strategy to increase utility and fairness in agents’ negotiation
inferred← citeshttps://doi.org/10.1007/s10726-020-09704-zopenalex-snapshot
Lifecycle Model of a Negotiation Agent: A Survey of Automated Negotiation Techniques
inferred← citeshttps://doi.org/10.1016/j.apenergy.2019.114173openalex-snapshot
Automated peer-to-peer negotiation for energy contract settlements in residential cooperatives
inferred← citeshttps://doi.org/10.1016/j.simpat.2019.101980openalex-snapshot
A repeated-negotiation game approach to distributed (re)scheduling of multiple projects using decoupled learning
inferred← citeshttps://doi.org/10.1016/j.tele.2020.101525openalex-snapshot
Futures of artificial intelligence through technology readiness levels
inferred← citeshttps://doi.org/10.1109/ica58824.2023.00021openalex-snapshot
Querying User Preferences in Automated Negotiation
inferred← citeshttps://doi.org/10.1109/iiai-aai.2018.00127openalex-snapshot
Toward an Optimization of Elicitation Timings Considering Elicitation Costs and User Privacy for Personal Assistant Agents
inferred← citeshttps://doi.org/10.1109/iros45743.2020.9341607openalex-snapshot
To Ask or Not to Ask: A User Annoyance Aware Preference Elicitation Framework for Social Robots
inferred← citeshttps://doi.org/10.1109/smartgridcomm.2018.8587537openalex-snapshot
Energy Contract Settlements through Automated Negotiation in Residential Cooperatives
inferred← citeshttps://doi.org/10.1109/smc.2018.00525openalex-snapshot
Utility Elicitation During Negotiation with Practical Elicitation Strategies
inferred← citeshttps://doi.org/10.1145/3465054openalex-snapshot
Nova : Value-based Negotiation of Norms
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3442930/v1openalex-snapshot
A Systematic Mapping Study on Automated Negotiation for Autonomous Intelligent Agents
inferred← citeshttps://doi.org/10.22541/au.174475407.72927142/v1openalex-snapshot
Cross-Cultural AI Negotiation Agents for International Conflict Resolution: A Framework for Mediating Complex Multi-Party Negotiations across Different Value Systems
inferred← citeshttps://doi.org/10.24963/ijcai.2017/653openalex-snapshot
When Will Negotiation Agents Be Able to Represent Us? The Challenges and Opportunities for Autonomous Negotiators
inferred← citeshttps://doi.org/10.2760/15025openalex-snapshot
AI Watch: Assessing Technology Readiness Levels for Artificial Intelligence
inferred← citeshttps://doi.org/10.52731/liir.v003.074openalex-snapshot
Divide-and-Conquer in Automated Negotiations Through Utility Decomposition
inferred← citeshttps://doi.org/10.65109/cujq7667openalex-snapshot
Optimal Value of Information Based Elicitation During Negotiation
inferred← citeshttps://doi.org/10.65109/grhf6422openalex-snapshot
Preference Elicitation with Interdependency and User Bother Cost
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.