This paper introduces four new resistorless circuits of first-order current-mode all-pass filter (CMAPF) based on dual-X current conveyor transconductance amplifier (DXCCTA). All the four circuits use a single DXCCTA and a capacitor for their realization. The main features of the proposed CMAPFs are: use of minimum active and passive components, resistorless realization, electronically adjustab...

Traditional discourses upon literature have been predicated upon the ability to refer to a text that others may consult (Landow, 1994, p. 33). Texts that involve elements of feedback and nontrivial decision-making on the part of the reader (Aarseth, 1997, p. 1) therefore present a challenge to readers and critics alike. Since a persuasive case has been made against a critical method that sets o...

In this paper, we investigate how to learn to control a group of cooperative agents with limited sensing capabilities such as robot swarms. The agents have only very basic sensor capabilities, yet in a group they can accomplish sophisticated tasks, such as distributed assembly or search and rescue tasks. Learning a policy for a group of agents is difficult due to distributed partial observabili...

This paper aims to find an algorithmic structure that affords to predict and explain the economical choice behaviour particularly under uncertainty(random policies) by manipulating the prevalent Actor-Critic learning method to comply with the requirements we have been entrusted ever since the field of neuroeconomics dawned on us. Whilst skimming some basics of neuroeconomics that might be relev...

An Online Actor Critic Algorithm and a Statistical Decision Procedure for Personalizing Intervention by Huitian Lei Chair: Professor Susan A. Murphy Assistant Professor Ambuj Tewari Increasing technological sophistication and widespread use of smartphones and wearable devices provide opportunities for innovative health interventions. An Adaptive Intervention (AI) personalizes the type, mode and...

This paper discusses a combination of two techniques for improving the recognition accuracy of on-line handwritten character recognition: committee classification and adaptation to the user. A novel adaptive committee structure, namely the Class-Confidence Critic Combination (CCCC) scheme, is presented and evaluated. It is shown to be able to improve significantly on its member classifiers. Als...