Questions tagged [multi-agent-systems]

For questions related to multi-agent systems (MAS), which are systems that involve multiple agents (each of them can have different skills) that cooperate with each other and interact with the environment. There are several challenges faced by MAS, including coordination between agents, security, and task allocation. Multi-agent systems have been applied in areas such as computer science, civil engineering, and electrical engineering.

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What are the examples of agents that is represent these characteristics?

I'm looking for examples of AI systems or agents that best represent these five characteristics (one example for each characteristics): Reactivity Proactivity Adaptability Sociability Autonomy It ...
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1answer
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How would one implement a multi-agent environment with asynchronous action and rewards per agent?

In a single agent environment, the agent takes an action, then observes the next state and reward: ...
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1answer
25 views

What is the difference between multi-agent and multi-modal systems?

The Wikipedia definitions are as follows Multi-agent systems - A multi-agent system is a computerized system composed of multiple interacting intelligent agents. Multi-modal interaction - Multimodal ...
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1answer
32 views

How to represent players in a multi agent environment so each model can distinguish its own player

So I have 2 models trained with DQN algorithm that I want to train in a multi-agent environment to see how they react with each other. The models were trained in an environment consisting of 0's and 1'...
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48 views

Can one agent command another agent in a multi-agent reinforcement learning setting?

In reinforcement learning, an agent is usually fully autonomous and independent. It executes actions on the environment, but no other agent can control, explore or command this agent. In multi-agent ...
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How does Friend-or-Foe Q-learning intuitively work?

I read about Q-Learning and was reading about multi-agent environments. I tried to read the paper Friend-or-Foe Q-learning, but could not understand anything, except for a very vague idea. What does ...
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Multi Agent Sokoban Search Solvers state of the art

I also asked this question here but I'm repeating it on this SE because I feel it is more relevant. No intention to spam. I am researching into coding a solver for a variant of the Sokoban game with ...
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How to manage 'action churn rates' in multi-agent systems?

I am designing a simple multi-agent system in which the agents' action space is represented as a Markov chain, defining how likely an agent is to perform an action and to switch between those actions. ...
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What is the best method to deal with heterogeneous multi agent system MAS?

Heterogeneity: Based on the heterogeneity of agents MAS can be divided into two categories namely: homogeneous and heterogeneous. Homogeneous MAS include agents that all have the same characteristics ...
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How can I convert the problem formulation to multi-agent reinforcement learning?

I'm trying to minimize the power consumption in wireless networks and I have some constraints such as that the SINR should not pass the threshold and the power should be between the 0 and maximum ...
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30 views

Why do we need agents in Knowledge Query and Manipulation Language?

A multi-agent system is composed of multiple interacting intelligent agents on which KQML (Knowledge Query and Manipulation Language) is implemented. But I am confused on the nature of agents and why ...
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1answer
65 views

Convergence in multi-agent environment

I have a multi-agent environment where agents are trying to optimise the overall energy consumption of their group. Agents can exchange energy between themselves (actions for exchange of energy ...
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66 views

Algorithms for multiple agents problems

Can anyone recommend a reinforcement learning algorithm for a multi-agent environment? In my simplified example, I'm implementing a Q-Learning system with different 10 agents. The agents compete for ...
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1answer
57 views

Can Q-learning working in a multi agent environment where every agent learns a behaviour independently?

I am currently exploring multi-agent reinforcement learning. I have multiple agents that communicate with each other and a central service that maintains the environment state. The central service ...
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1answer
140 views

Minimax with only max

If both the players want to increase their score (by selecting the highest/best cost path) can this be done using Minimax Algorithm and not other algorithms?
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GUI for a blackboard system

In a paper about the Jack virtual agent architecture The Automated Wingman - Using JACK Intelligent Agents for Unmanned Autonomous Vehicles I've found on page 6 a multi-agent BDI system. It is not the ...
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0answers
95 views

Jason/AgentSpeak trying to synchronize agents [closed]

I'm trying to implement a tree sort for 8 numbers. I've created 15 tree nodes agents and one manager agent. What I'm trying to achieve is to synchronize leaves in the tree and send their generated ...
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1answer
164 views

Agent collision avoidance java

I am working with a project which is a agent based pedestrian simulation in Java and its is animated with the help of JavaFX. I've tried to read all the social force model papers but my understanding ...
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1answer
33 views

How to choose evaluation functions for features, when network effects are in place (multi-agent systems)?

So, I have this huge amount of data, which has 7 vector features (float from 0 to 1). I am trying to build a kind of recommendation system, with a twist (it uses agents and negotiations and narratives;...
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3answers
116 views

To what extent can artificially intelligent agents reliably predict trends in financial markets?

I've gotten curious about this topic and am wondering what the stack exchange community has to say about it. Also, does anyone know of any professors/researchers who have published papers pertaining ...
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1answer
73 views

Hierarchical Agent Design

I read some light material earlier about the possibility of building AI agent trees, which leaf agents optimizing for primitive tasks, while higher level agents optimizing for orchestrating direct ...
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1answer
666 views

Goal oriented Action Planning with multiple Agents

I'm a little bit stuck: I implemented an AI with GOAP (Goal oriented Action Planning, http://alumni.media.mit.edu/~jorkin/gdc2006_orkin_jeff_fear.pdf) for a simulation game. That works fine. Now I ...
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1answer
14k views

What are some examples of intelligent agents for each intelligent agent class?

There are several classes of intelligent agents, such as: simple reflex agents model-based reflex agents goal-based agents utility-based agents learning agents Each of these agents behaves slightly ...
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2answers
156 views

Would a general-purpose AI need to collaborate?

Human beings are more productive in groups than individually, possibly due to the fact that there is a limit to how much one human brain can improve itself in terms of speed of computation and areas ...
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3answers
816 views

Board/Card Game AI - Questions concerning state/action space - Deep Reinforcement Learning

Ok, I now know how a machine can learn to play to play Atari games (Breakout): Playing Atari with Reinforcement Learning With the same technique it is even possible to play FPS games (Doom): Playing ...
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1answer
99 views

How can thousand-robot swarm coordinate their moves without bumping into each other?

How can a swarm of small robots (like Kilobots) walking close to each other achieve collaboration without bumping into each other? For example, one study shows programmable self-assembly in a thousand-...
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Are there any decentralized examples of AI systems with blockchain technology?

Has there been any attempts to deploy AI with blockchain technology? Are there any decentralized examples of AI networks with no central point of control with AI nodes acting independently (but ...