Cooperative multi-agent learning: The state of the art
Cooperative multi-agent systems (MAS) are ones in which several agents attempt, through
their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among the …
their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among the …
[图书][B] Experiments in learning prototypical situations for variants of the pursuit game
J Denzinger, M Fuchs - 1999 - cdn.aaai.org
We present an approach to learning cooperative behavior of agents. Our approach is based
on classi~'ing situations with the help of tile nearest-neighbor rule. In this context, learning …
on classi~'ing situations with the help of tile nearest-neighbor rule. In this context, learning …
[PDF][PDF] Co-adaptation in a team
We introduce a cooperative co {evolutionary system to facilitate the development of teams of
heterogeneous agents. We believe that k different behavioral strategies for controlling the …
heterogeneous agents. We believe that k different behavioral strategies for controlling the …
Strategies for evolving diverse and effective behaviours in pursuit domains
T Cowan, BJ Ross - International Conference on the Applications of …, 2024 - Springer
Gamer engagement with computer opponents is an important aspect of computer games.
Players will be bored if computer opponents are predictable, and the game will be …
Players will be bored if computer opponents are predictable, and the game will be …
[PDF][PDF] Learning cases to compliment rules for conflict resolution in multiagent systems
Groups of agents following fixed behavioral rules can be limited in performance and
etficiency. Adaptability and flexibility are key components ofintelligent behavior which allow …
etficiency. Adaptability and flexibility are key components ofintelligent behavior which allow …
Methodological issues for designing multi-agent systems with machine learning techniques: Capitalizing experiences from the robocup challenge
This paper deals with one of the probably most challenging and, in our opinion, little
addressed question that can be found in Distributed Artificial Intelligence today, that of the …
addressed question that can be found in Distributed Artificial Intelligence today, that of the …
Learning cases to resolve conflicts and improve group behavior
Groups of agents following fixed behavioral rules can be limited in performance and
efficiency. Adaptability and flexibility are key components of intelligent behavior which allow …
efficiency. Adaptability and flexibility are key components of intelligent behavior which allow …
Evolved communication strategies and emergent behaviour of multi-agents in pursuit domains
G Grossi, B Ross - 2017 IEEE Conference on Computational …, 2017 - ieeexplore.ieee.org
This study investigates how genetic programs can be effectively used in a multi-agent
system to allow agents to learn to communicate. Using the pursuit domain and a co …
system to allow agents to learn to communicate. Using the pursuit domain and a co …
Thinking as one: Coordination of multiple mobile robots by shared representations
A Tews, G Wyeth - … 2000 IEEE/RSJ International Conference on …, 2000 - ieeexplore.ieee.org
Addresses issues in developing a coordination system for mobile robots in a hostile
environment. Sharing a common representation of the environment improves the ability to …
environment. Sharing a common representation of the environment improves the ability to …
Evolving communicating controllers for multiple mobile robot systems
I Ashiru, CA Czarnecki - Microprocessors and Microsystems, 1998 - Elsevier
Multiple mobile robot systems working together to achieve a task have many advantages
over single robot systems. However, the planning and execution of a task which is to be …
over single robot systems. However, the planning and execution of a task which is to be …