Searched for: author%3A%22Murukannaiah%2C+P.K.%22
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Marsa Maestre, Ivan (author), Gimenez-Guzman, Jose Manuel (author), Tejedor Romero, Marino (author), de la Hoz, Enrique (author), Murukannaiah, P.K. (author)
User experience is the ultimate quality of service criterion for modern WLAN networks. However, network configuration approaches are mainly network-centric. We envision a paradigm shift, empowering users in network management. We study how automated negotiation and collective intelligence can support the democratic configuration of a wireless...
journal article 2023
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Tejedor Romero, M. (author), Murukannaiah, P.K. (author), Gimenez-Guzman, Jose Manuel (author), Marsa Maestre, I. (author), Jonker, C.M. (author)
Channel allocation in dense Wi-Fi networks is a complex problem due to its nonlinear and exponentially sized solution space. Negotiating over this domain is a challenge, since it is difficult to estimate opponent’s utility. Based on our previous work in mediated techniques, we propose the first two fully-distributed multi-agent negotiations...
conference paper 2023
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MS Osika, Z. (author), Zatarain Salazar, J. (author), Roijers, Diederik M. (author), Oliehoek, F.A. (author), Murukannaiah, P.K. (author)
We present a review that unifies decision-support methods for exploring the solutions produced by multi-objective optimization (MOO) algorithms. As MOO is applied to solve diverse problems, approaches for analyzing the trade-offs offered by MOO algorithms are scattered across fields. We provide an overview of the advances on this topic,...
conference paper 2023
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Tejedor-Romero, Marino (author), Murukannaiah, P.K. (author), Gimenez-Guzman, Jose Manuel (author), Marsa-Maestre, Ivan (author), Jonker, C.M. (author)
Channel allocation in dense, decentralized Wi-Fi networks is a challenging due to the highly nonlinear solution space and the difficulty to estimate the opponent’s utility model. So far, only centralized or mediated approaches have succeeded in applying negotiation to this setting. We propose the first two fully-distributed negotiation...
conference paper 2023
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Liscio, E. (author), Araque, Oscar (author), Gatti, Lorenzo (author), Constantinescu, I.L. (author), Jonker, C.M. (author), Kalimeri, Kyriaki (author), Murukannaiah, P.K. (author)
conference paper 2023
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Liscio, E. (author), Lera-Leri, Roger (author), Bistaffa, Filippo (author), Dobbe, R.I.J. (author), Jonker, C.M. (author), Lopez-Sanchez, Maite (author), Rodriguez-Aguilar, Juan A. (author), Murukannaiah, P.K. (author)
As artificial agents become increasingly embedded in our society, we must ensure that their behavior aligns with human values. Value alignment entails value inference, the process of identifying values and reasoning about how humans prioritize values. We introduce a holistic framework that connects the technical (AI) components necessary for...
conference paper 2023
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Liscio, E. (author), Lera-Leri, Roger (author), Bistaffa, Filippo (author), Dobbe, R.I.J. (author), Jonker, C.M. (author), Lopez-Sanchez, Maite (author), Rodriguez-Aguilar, Juan A. (author), Murukannaiah, P.K. (author)
Values, such as freedom and safety, are the core motivations that guide us humans. A prerequisite for creating value-aligned multiagent systems that involve humans and artificial agents is value inference, the process of identifying values and reasoning about human value preferences. We introduce a framework that connects the value inference...
conference paper 2023
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Liscio, E. (author), Lera-Leri, Roger (author), Bistaffa, Filippo (author), Dobbe, R.I.J. (author), Jonker, C.M. (author), Lopez-Sanchez, Maite (author), Rodriguez-Aguilar, Juan A. (author), Murukannaiah, P.K. (author)
conference paper 2023
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Singh, Munindar P. (author), Murukannaiah, P.K. (author)
As smart cities increasingly become real, an ethical framework for them becomes increasingly necessary. Surprisingly, current approaches largely disregard such a framework and concentrate primarily on challenges pertaining to the data lifecycle. However, a smart city involves much more than data gathering: it involves the interactions of...
journal article 2023
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Agiollo, A. (author), Cavalcante Siebert, L. (author), Murukannaiah, P.K. (author), Omicini, Andrea (author)
Although popular and effective, large language models (LLM) are characterised by a performance vs. transparency trade-off that hinders their applicability to sensitive scenarios. This is the main reason behind many approaches focusing on local post-hoc explanations recently proposed by the XAI community. However, to the best of our knowledge,...
conference paper 2023
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van der Meer, M.T. (author), Liscio, E. (author), Jonker, C.M. (author), Plaat, Aske (author), Vossen, Piek (author), Murukannaiah, P.K. (author)
The key arguments underlying a large and noisy set of opinions help understand the opinions quickly and accurately. Fully automated methods can extract arguments but (1) require large labeled datasets and (2) work well for known viewpoints, but not for novel points of view. We propose HyEnA, a hybrid (human + AI) method for extracting...
conference paper 2022
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Liscio, E. (author), Jonker, C.M. (author), Murukannaiah, P.K. (author)
conference paper 2022
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Cavalcante Siebert, L. (author), Liscio, E. (author), Murukannaiah, P.K. (author), Kaptein, Lionel (author), Spruit, Shannon (author), van den Hoven, M.J. (author), Jonker, C.M. (author)
We propose methods for an AI agent to estimate the value preferences of individuals in a hybrid participatory system, considering a setting where participants make choices and provide textual motivations for those choices. We focus on situations where there is a conflict between participants' choices and motivations, and operationalize the...
conference paper 2022
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Kola, I. (author), Murukannaiah, P.K. (author), Jonker, C.M. (author), van Riemsdijk, M.B. (author)
Artificial agents that support people in their daily activities (e.g., virtual coaches and personal assistants) are increasingly prevalent. Since many daily activities are social in nature, support agents should understand a user's social situation to offer comprehensive support. However, there are no systematic approaches for developing...
journal article 2022
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Liscio, E. (author), Dondera, Alin E. (author), Geadau, Andrei (author), Jonker, C.M. (author), Murukannaiah, P.K. (author)
Moral values influence how we interpret and act upon the information we receive. Identifying human moral values is essential for artificially intelligent agents to co-exist with humans. Recent progress in natural language processing allows the identification of moral values in textual discourse. However, domain-specific moral rhetoric poses...
conference paper 2022
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Shortall, R.M. (author), Itten, Anatol (author), Murukannaiah, P.K. (author), Jonker, C.M. (author), van der Meer, Michiel (author)
Designers of online deliberative platforms aim to counter the degrading quality of online debates. Support technologies such as machine learning and natural language processing open avenues for widening the circle of people involved in deliberation, moving from small groups to “crowd” scale. Numerous design features of large-scale online...
journal article 2022
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Murukannaiah, P.K. (author), Ajmeri, Nirav (author), Singh, Munindar P. (author)
Synchronous, face-to-face interactions such as brainstorming are considered essential for creative tasks (the old normal). However, face-to-face interactions are difficult to arrange because of the diverse locations and conflicting availability of people - a challenge made more prominent by work-from-home practices during the COVID-19...
conference paper 2022
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Liscio, E. (author), van der Meer, M.T. (author), Cavalcante Siebert, L. (author), Jonker, C.M. (author), Murukannaiah, P.K. (author)
The pursuit of values drives human behavior and promotes cooperation. Existing research is focused on general values (e.g., Schwartz) that transcend contexts. However, context-specific values are necessary to (1) understand human decisions, and (2) engineer intelligent agents that can elicit and align with human values. We propose Axies, a...
journal article 2022
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Yuan, Guangchao (author), Singh, M.P. (author), Murukannaiah, P.K. (author)
Geographical characteristics have been proven to be effective in improving the quality of point-of-interest (POI) recommendation. However, existing works on POI recommendation focus on cost (time or money) of travel for a user. An important geographical aspect that has not been studied adequately is the neighborhood effect, which captures a...
journal article 2021
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Jonker, C.M. (author), Murukannaiah, P.K. (author), Verwaart, D. (author)
The bargaining power of prosumers in a market can vary significantly. Participants can range from industrial participants to powerful and less powerful citizens. Existing trade mechanisms in such markets, e.g., in rural India’s energy trade market, show occurrences of discrimination, exclusion, and unfairness. We study how discrimination...
conference paper 2021
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