In this paper, we revisit the lexical and modular factorization of the middle level graph. We present new and simple definitions of such factorizations, and thus reveal their inner structures. Based on our new results, we present optimum algorithms for computing these 1-factorizations. In addition, we provide interesting applications of these factorizations in game theory. 1998 ACM Subject Clas...

Distributed are increasing being thought of as a platform for decentralised applications — DApps — and the the focus for many is shifting from Bitcoin to Smart Contracts. It’s thought that encoding contracts and putting them “on the blockchain” will result in a new generation of organisations that are leaner and more efficient than their forebears (“Capps”?”), disrupting these forebears in the ...

A narrative world can be viewed as a form of society in which characters follow a set of social norms whose collective function is to guide the characters through (the creation of) a story arc and reach some conclusion. By modelling the rules of a narrative using norms, we can govern the actions of agents that act out the characters in a story. Agents are given sets of permitted actions and obl...

At present, The network collaborative learning in education has been widely used, but they have some problems were not resolved, which like lacks intelligence or can not accurately master information requirements. In the research, using intelligent agent technology in the field of distributed artificial intelligence, to propose a model in collaborative learning process. The model based on the l...

With the advance of global computer networks, a dramatic shift in computing metaphors has begun: from team to community. Understanding that the team metaphor has created various research fields including groupware and distributed artificial intelligence, it seems that the community metaphor has the potential to generate new directions in research and practice. Based on this motivation, we organ...

This paper focuses on the applicability of Distributed Artificial Intelligence (DAI} techniques for solving three “real-world” logistical and producrion problems. The Parrly Intelligent Agents (PIAs) we use are equipped with simple algorirhms supplemented by knowledge-based components. By comparison wirh centralized methods we can judge rhe benefits of our new DALapproaches. Since we are workin...

Purpose of this paper is to review the literature of Agent Based Systems. This research area became popular since 1980’s within Distributed Artificial Intelligence domain. Even though, it is a new emerging research area many research studies are performed regarding to its theory and practice. Moreover, there are many debates regarding to definition of Agency notion. By this review issues regard...

The reanimation of the pseudosciences physiognomy and phrenology at scale through computer vision machine learning is a matter urgent concern. This Article, which contributes to critical data studies, consumer protection law, biometric privacy anti-discrimination endeavors conceptualize problematize physiognomic artificial intelligence (AI) offer policy recommendations for state federal lawmake...

Abstract For their deployment in human societies to be safe, AI agents need aligned with value-laden cooperative life. One way of solving this “problem value alignment” is build moral machines. I argue that the goal building machines aims at wrong kind ideal, and instead, we an approach alignment takes seriously categorically different cognitive capabilities between agents, a condition call dee...