Time series are found widely in engineering and science. We study multiagent forecasting in time series, drawing from literature on time series, graphical models, and multiagent s...
This paper is concerned with the problem of obtaining predictable interactions between groups of agents in open environments when individual agents do not expose their bdi logic. ...
Nardine Osman, David Robertson, Christopher Walton
Dynamic epistemic logic plays a key role in reasoning about multi-agent systems. Past approaches to dynamic epistemic logic have typically been focused on actions whose primary pur...
This paper proposes dynamic semantics for agent communication languages (ACLs) as a method for tackling some of the fundamental problems associated with agent communication in ope...
We investigate the discrete (finite) case of the Popper-Renyi theory of conditional probability, introducing discrete conditional probabilistic models for (multi-agent) knowledge...