Zobrazeno 1 - 10
of 131
pro vyhledávání: '"93A16"'
Autor:
Daneshvar, Mohammad, Delavari, Mandana
In this paper, we analyze the behavior of a multi-agent system driven by the interactions of agents within a competitive environment. To achieve this, we describe the transition probabilities that underlie the system's stochastic nature. We also deri
Externí odkaz:
http://arxiv.org/abs/2412.15485
Federated learning (FL) is an emerging paradigm for training machine learning models across distributed clients. Traditionally, in FL settings, a central server assigns training efforts (or strategies) to clients. However, from a market-oriented pers
Externí odkaz:
http://arxiv.org/abs/2411.11793
The coordination problem of multi-vehicle systems is of great interests in the area of autonomous driving and multi-vehicle control. This work mainly focuses on multi-task coordination problem of a group of vehicles with a bicycle model and some spec
Externí odkaz:
http://arxiv.org/abs/2410.05793
Publikováno v:
Foundations and Trends in Information Systems: Vol. 7: No. 4, pp 310-356 (2024)
This paper provides a comprehensive analysis of the challenges and controversies associated with blockchain technology. It identifies technical challenges such as scalability, security, privacy, and interoperability, as well as business and adoption
Externí odkaz:
http://arxiv.org/abs/2409.06179
Autor:
Smit, Martin, Santos, Fernando P.
Publikováno v:
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence Main Track (2024). Pages 220-228
Altruistic cooperation is costly yet socially desirable. As a result, agents struggle to learn cooperative policies through independent reinforcement learning (RL). Indirect reciprocity, where agents consider their interaction partner's reputation, h
Externí odkaz:
http://arxiv.org/abs/2408.04549
This paper introduces an agent-based simulation model aimed at understanding urban commuters mode choices and evaluating the impacts of transport policies to promote sustainable mobility. Crafted for developing countries, where utilitarian travel hea
Externí odkaz:
http://arxiv.org/abs/2407.21307
Autor:
Raghavan, Aneesh, Johansson, Karl H.
We consider a collaborative iterative algorithm with two agents and a fusion center for estimation of a real valued function (or ``model") on the set of real numbers. While the data collected by the agents is private, in every iteration of the algori
Externí odkaz:
http://arxiv.org/abs/2407.05136
Deciphering travel behavior and mode choices is a critical aspect of effective urban transportation system management, particularly in developing countries where unique socio-economic and cultural conditions complicate decision-making. Agent-based si
Externí odkaz:
http://arxiv.org/abs/2404.19745
Opinion dynamics models are important in understanding and predicting opinion formation processes within social groups. Although the weighted-averaging opinion-update mechanism is widely adopted as the micro-foundation of opinion dynamics, it bears a
Externí odkaz:
http://arxiv.org/abs/2404.16318
The rapid growth of electric vehicles (EVs) is driving the expansion of charging infrastructure globally. As charging stations become ubiquitous, their substantial electricity consumption can influence grid operation and electricity pricing. Naturall
Externí odkaz:
http://arxiv.org/abs/2404.03919