Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Systems of argumentation or ’computational dialectic’ are emerging as a powerful means of structuring inter-agent communication in multi-agent systems. Individual systems of c...
This paper describes an implemented robotic agent architecture in which the environment, as sensed by the agent, is used to guide the recognition of spoken and gestural directives...
Shana Watters, Tim Miller, Praveen Balachandran, W...
The paper presents an agent-oriented programming language SLABSp. It provides caste and scenario mechanisms in a coherent way to support the caste-centric methodology of agent-ori...
A team-based competitive environment is a complex multiagent environment, in which agents are required to coordinate with each other not only to enhance their collective behavior,...
Multiparty agreements often arise in a multiagent system where autonomous agents interact with each other to achieve a global goal. Multiparty agreements are traditionally represe...
This publication summarizes research on the the design and implementation of liberalized version of existing truth-finding protocols for argumentation, such as the standard two-a...