In this paper a theory for the synthesis of geometric concepts is presented. The theory is focused on a constructive process that synthesizes a function in the geometric domain re...
In this paper, we model multi-agent events in terms of a temporally varying sequence of sub-events, and propose a novel approach for learning, detecting and representing events in...
It is not surprising that reaching human-level AI has proved to be difficult and progress has been slow— though there has been important progress. The slowness and the demand t...
Traditionally, consistency is the only criterion for the quality of a theory in logicbased approaches to reasoning about actions. This work goes beyond that and contributes to the...
We consider a multi-agent system where each agent is equipped with a Bayesian network, and present an open framework for the agents to agree on a possible consensus network. The f...
In this paper, the problem of deriving sensible information from a collection of argumentation systems coming from different agents is addressed. The underlying argumentation the...
The increasing variety of semantics proposed in the context of Dung’s theory of argumentation makes more and more inadequate the example-based approach commonly adopted for eval...
This paper introduces a Subjective Logic based argumentation framework primarily targeted at evidential reasoning. The framework explicitly caters for argument schemes, accrual of...