As two major communication technologies, the internet and wireless, are maturing rapidly to dominate our civilised life, the authors urgently need to re-establish users’ confidence to harvest new potential applications of large-scale distributed systems. Service agents and distributed multi-agent systems (MASs) have shown the potential to help with this move as the lack of trust caused by heavi...

“Without embodiment artificial intelligence is nothing.” Algorithms in the field of artificial intelligence are mostly tested on a computer instead of testing on a real platform. Our anthropomorphic robot ZAR5 (in German ZweiArm-Roboter in the 5 version) is the first biologically inspired and completely artificial muscle driven robot torso that can be fully controlled by a data suit and two fiv...

Concepts across and explain how they are used in actual, fielded systems.Author: interes Date: 2014-01-04 15: 02: 27. Tim Jones, Artificial Intelligence: A Systems Approach English 2008 ISBN: 0763773379 500 pages PDF 8.storage in a retrieval system, or transmission in any form or by any means, electronic, mechanical. Artificial Intelligence AI is a big field, and this is a big book.The history ...

Reputation mechanisms allow agents to establish trust in other agents' intentions and capabilities in the absence of direct interactions. In this paper, we are concerned with establishing trust on the basis of reputation information in open, decentralized systems of interdependent autonomous agents. We present a completely decentralized reputation mechanism to increase the accuracy of agents' a...

Crowdsourcing platforms such as Amazon Mechanical Turk have become popular for a wide variety of human intelligence tasks; however, quality control continues to be a significant challenge. Recently, we propose TURKONTROL, a theoretical model based on POMDPs to optimize iterative, crowdsourced workflows. However, they neither describe how to learn the model parameters, nor show its effectiveness...

The paper faces the challenge to generalize existing trends and approaches in the field of artificial intelligence. Under consideration are expert systems, dynamic neural networks, probabilistic reasoning, fuzzy logic, genetic algorithms, multi-agent systems, bio-inspired algorithms, distributed nonlinear computing, chaos-driven pattern recognition. Each approach strengths and limitations are s...