Abstract--Ant Colony Optimization (ACO) is a problemsolving technique that was inspired by the related research on the behavior of real-world ant colony. In the domain of Network-o...
A new design method for Cellular automata (CA) rules are described. We have already proposed a method for designing the transition rules of two-dimensional 256-state CA for graysca...
Neural transmission delay may cause serious problems unless a compensation mechanism exists in the neural system. We showed previously that facilitating neural dynamics is a key me...
We present a docking study for Herbal, a high-level behavioral representation language based on the problem space computational model. This study docks an ACT-R model created with ...
Changkun Zhao, Jaehyon Paik, Jonathan H. Morgan, F...
: In modeling human cognitive capacity there is a question of what needs to be built in and what can be left out, because we can offload it onto cogni...
Deep-layer machine learning architectures continue to emerge as a promising biologically-inspired framework for achieving scalable perception in artificial agents. State inference ...
The ASMO Cognitive Architecture has been developed to support key capabilities: attention, awareness and self-modification. In this paper we describe the underlying attention model...
Rony Novianto, Benjamin Johnston, Mary-Anne Willia...
This paper investigates issues of robot's personalization and long-term adaptation in human-robot interaction (HRI). It demonstrates the design and first technical implementat...
Wan Ching Ho, Kerstin Dautenhahn, Mei Yii Lim, Kyr...
In this position paper we argue that BICA must simultaneously be compatible with the explanation of human cognition and support the human design of artificial cognitive systems. Mo...