Stack Exchange Network

Stack Exchange network consists of 175 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.

Visit Stack Exchange

Questions tagged [multi-agent-systems]

The tag has no usage guidance.

0
votes
0answers
14 views

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. ...
1
vote
0answers
19 views

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 ...
3
votes
0answers
115 views

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 ...
1
vote
0answers
22 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 ...
2
votes
1answer
56 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 ...
2
votes
0answers
61 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 ...
1
vote
1answer
50 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
votes
1answer
93 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?
2
votes
0answers
54 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 ...
4
votes
0answers
61 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
votes
1answer
120 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
votes
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;...
4
votes
2answers
445 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
votes
1answer
91 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 ...
1
vote
3answers
105 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 ...
3
votes
1answer
64 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 ...
2
votes
1answer
603 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 ...
5
votes
1answer
12k 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 ...
6
votes
2answers
150 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 ...
7
votes
3answers
645 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
votes
1answer
96 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-...
9
votes
2answers
250 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 ...