This paper uses partially observable Markov decision processes (POMDP’s) as a basic framework for MultiAgent planning. We distinguish three perspectives: first one is that of a...
Bharaneedharan Rathnasabapathy, Piotr J. Gmytrasie...
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
This paper discusses issues related with learning resources brokerage systems. It introduces a market-based modeling approach and proposes a virtual market model design of a broke...
Techniques that were developed for program synthesis are being applied to allow multiple agents to communicate with each other and cooperate to solve a single problem. We illustrat...
Richard J. Waldinger, Peter Jarvis, Jennifer L. Du...
Abstract. Autonomic computing is being advocated as a tool for maintaining and managing large, complex computing systems. Self-organising multi-agent systems provide a suitable par...
Ramachandra Kota, Nicholas Gibbins, Nicholas R. Je...