eclab/mason
MASON Multiagent Simulation Toolkit (⭐ 185)
Motion Feasibility Conditions for Multi-Agent Control Systems on Lie Groups
We study the problem of motion feasibility for multiagent control systems on Lie groups with collision avoidance constraints. We first consider the problem for kinematic left invariant control systems and next, for dynamical control systems given by...
JoseCarlosGualo/JoseCarlos_GualoCejudo_SSMM2021
Repositorio para la práctica de Sistemas Multiagentes (⭐ 0)
Evolution of Cooperative Hunting in Artificial Multi-layered Societies
The complexity of cooperative behavior is a crucial issue in multiagent-based social simulation. In this paper, an agent-based model is proposed to study the evolution of cooperative hunting behaviors in an artificial society. In this model, the stan...
Multi-agent orchestration is the future of AI coding. Here are some OSS tools to check out…
been watching this space closely. every tool in this field get high traction with zero marketing. that's not luck - that's signal. let me explain why this matters. right now ppl use AI like this: pr...
Multi-Agent Orchestration for Parallel Work — Tools & Experiences?
Hey folks ? I’ve been exploring multi‑agent orchestration as a way to parallelize work more effectively, especially for dev tasks. What I’m trying to achieve? 1. Run multiple tasks in paral...
False name manipulations in weighted voting games: splitting, merging and annexation
An important aspect of mechanism design in social choice protocols and multiagent systems is to discourage insincere and manipulative behaviour. We examine the computational complexity of false-name manipulation in weighted voting games which are a...
Hybrid Intrusion Detection and Prediction multiAgent System HIDPAS
This paper proposes an intrusion detection and prediction system based on uncertain and imprecise inference networks and its implementation. Giving a historic of sessions, it is about proposing a method of supervised learning doubled of a classifie...
Agent-based model - Wikipedia
ABM is also called an individual-based model (IBM). A review of literature on individual-based models, agent-based models, and multiagent systems shows
Solving Infinite-Player Games with Player-to-Strategy Networks
We present a new approach to solving games with a countably or uncountably infinite number of players. Such games are often used to model multiagent systems with a large number of agents. The latter are frequently encountered in economics, financial...
Trust from Ethical Point of View: Exploring Dynamics Through Multiagent-Driven Cognitive M…
The paper begins by exploring the rationality of ethical trust as a foundational concept. This involves distinguishing between trust and trustworthiness and delving into scenarios where trust is both rational and moral. It lays the groundwork for und...
Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Lear…
Many artificial intelligence (AI) applications often require multiple intelligent agents to work in a collaborative effort. Efficient learning for intra-agent communication and coordination is an indispensable step towards general AI. In this paper,...
Distributed Optimization Based on Gradient-tracking Revisited: Enhancing Convergence Rate…
We study distributed multiagent optimization over (directed, time-varying) graphs. We consider the minimization of $F+G$ subject to convex constraints, where $F$ is the smooth strongly convex sum of the agent's losses and $G$ is a nonsmooth convex fu...
dkkim93/further
Source code for "Influencing Long-Term Behavior in Multiagent Reinforcement Learning" (NeurIPS 2022) (⭐ 19)
Bayesian Promised Persuasion: Dynamic Forward-Looking Multiagent Delegation with Informati…
This work studies a dynamic mechanism design problem in which a principal delegates decision makings to a group of privately-informed agents without the monetary transfer or burning. We consider that the principal privately possesses complete knowled...
Adapting the Predator-Prey Game Theoretic Environment to Army Tactical Edge Scenarios with…
The historical origins of the game theoretic predator-prey pursuit problem can be traced back to Benda, et al., 1985 [1]. Their work adapted the predator-prey ecology problem into a pursuit environment which focused on the dynamics of cooperative beh...
Demand Responsive Dynamic Pricing Framework for Prosumer Dominated Microgrids using Multia…
Demand Response (DR) has a widely recognized potential for improving grid stability and reliability while reducing customers energy bills. However, the conventional DR techniques come with several shortcomings, such as inability to handle operational...