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Questions tagged [multi-agent-systems]

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Is it correct to define the equation below as q-learning multiple agent reinforcement learning models

I'm trying to define the q-learning multiple agent reinforcement learning models but I'm not sure if it is correct or not. N the number of agents and $i \in N$ and the k is the time episode. $Q^{i}_{...
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1answer
52 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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54 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
47 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 ...
3
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1answer
77 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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0answers
36 views

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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52 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 ...
2
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1answer
96 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 ...
2
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1answer
29 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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2answers
370 views

How do I create an ai for a two players board game?

Brief idea I want to create an artificial intelligence to compete against other players in a board game. Game explanation I have a board game similar to 'snakes and ladders'. You have to get to a ...
2
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1answer
80 views

Why are neural networks always trained “by themselves”?

In the current rush of artificial intelligence research, fueled by NN, independent of the paper I choose, the NN are always trained by themselves. Sure, there are architectures that combine CNN and ...
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3answers
103 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
60 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
554 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
11k views

Some examples about Intelligent Agents classes

These days I searched about Intelligent Agents, and found that there are classes of Intelligent Agents such as: simple reflex agents model-based reflex agents goal-based agents utility-based agents ...
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2answers
145 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
598 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 ...
5
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1answer
91 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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2answers
242 views

Artificial Intelligence on the blockchain

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 ...