Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Jonathan P. Pearce"'
Publikováno v:
Meteorological Applications, Vol 27, Iss 1, Pp n/a-n/a (2020)
Abstract In this work, the pressure dependence of the temperature readings of reference deep‐ocean thermometers (i.e. SBE 35, Sea‐Bird Electronics) was investigated in a thermostatically controlled and pressurized environment. To this end, a deep
Externí odkaz:
https://doaj.org/article/6504e30087714a01a57d327883491fc1
Autor:
Janusz Marecki, Sarit Kraus, Milind Tambe, Jonathan P. Pearce, Fernando Ordóñez, Praveen Paruchuri
Publikováno v:
Information Technology and Management. 10:67-79
We consider the problem of providing decision support to a patrolling or security service in an adversarial domain. The idea is to create patrols that can achieve a high level of coverage or reward while taking into account the presence of an adversa
Publikováno v:
Autonomous Agents and Multi-Agent Systems. 13:27-60
It is critical that agents deployed in real-world settings, such as businesses, offices, universities and research laboratories, protect their individual users' privacy when interacting with other entities. Indeed, privacy is recognized as a key moti
Publikováno v:
AAMAS
In adversarial multiagent domains, security, commonly defined as the ability to deal with intentional threats from other agents, is a critical issue. This paper focuses on domains where these threats come from unknown adversaries. These domains can b
Publikováno v:
AAMAS
Distributed Constraint Optimization (DCOP) is rapidly emerging as a prominent technique for multiagent coordination. Unfortunately, rigorous quantitative evaluations of privacy loss in DCOP algorithms have been lacking despite the fact that agent pri
Autor:
Pauline M. Berry, Milind Tambe, Emma Bowring, Neil Yorke-Smith, Shahin Saadati, Jonathan P. Pearce, Cory Albright, Bart Peintner, Kenneth Nitz, Ken Conley, Tomás E. Uribe
Publikováno v:
AAMAS
We will demonstrate distributed conflict resolution in the context of personalized meeting scheduling. The demonstration will show how distributed constraint optimization can be used to facilitate interaction between cognitive agents and their users.
Publikováno v:
AAMAS
A distributed constraint optimization problem (DCOP) is a formalism that captures the rewards and costs of local interactions within a team of agents, each of whom is choosing an individual action. When rapidly selecting a single joint action for a t
Publikováno v:
Coordination of Large-Scale Multiagent Systems ISBN: 0387261931
This paper addresses the application of distributed constraint optimization problems (DCOPs) to large-scale dynamic environments. We introduce a decomposition of DCOP into a graphical game and investigate the evolution of various stochastic and deter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c16b3409e4399bbc6ca61082a4af069e
https://doi.org/10.1007/0-387-27972-5_6
https://doi.org/10.1007/0-387-27972-5_6
Publikováno v:
AAMAS
In multi-agent systems where sets of joint actions (JAs) are generated, metrics are needed to evaluate these sets and efficiently allocate resources for the many JAs. For the case where a JA set can be represented by multiple solutions to a DCOP. we