Cognitive Agents must be able to decide their actions based on their recognized states. In general, learning mechanisms are equipped for such agents in order to realize intellgent ...
The vulnerable air interface, device level constraints, and insecure encryption techniques of wireless networks have naturally increased the chance of attacker obtaining users inf...
Abstract--The paper proposes a biologically-inspired cognitive agent model, known as FALCON-X, based on an integration of the Adaptive Control of Thought (ACT-R) architecture and a...
An unsolved problem in AIS is adaptive ontologies. Semantic Web requires flexible ontologies adaptive to user needs and to Web contents. The paper describes emotional intelligent a...
In this paper, we describe an ontologically well-founded agentbased discrete event simulation framework with a high-level rulemulation language and an abstract simulator architect...