paper-with-me

Papers

Artificial Intelligence and Asymmetric Information Theory

2015-10-10 · Tshilidzi Marwala, Evan Hurwitz

When human agents come together to make decisions, it is often the case that one human agent has more information than the other. This phenomenon is called information asymmetry and this distorts the market. Often if one human agent intends to manipulate a decision in its favor the human agent can signal wrong or right information. Alternatively, one human agent can screen for information to reduce the impact of asymmetric information on decisions. With the advent of artificial intelligence, signaling and screening have been made easier. This paper studies the impact of artificial intelligence on the theory of asymmetric information. It is surmised that artificial intelligent agents reduce the degree of information asymmetry and thus the market where these agents are deployed become more efficient. It is also postulated that the more artificial intelligent agents there are deployed in the market the less is the volume of trades in the market. This is because for many trades to happen the asymmetry of information on goods and services to be traded should exist, creating a sense of arbitrage.

📄 PDF Abstract BibTeX arXiv:1510.02867

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Artificial Intelligence and Economic Theories

2017-03-20 · Tshilidzi Marwala, Evan Hurwitz

The advent of artificial intelligence has changed many disciplines such as engineering, social science and economics. Artificial intelligence is a computational technique which is inspired by natural intelligence such as…

counterfactual

Information Flow Theory (IFT) of Biologic and Machine Consciousness: Implications for Artificial General Intelligence and the Technological Singularity

2019-06-21 · B. S. Bleier

The subjective experience of consciousness is at once familiar and yet deeply mysterious. Strategies exploring the top-down mechanisms of conscious thought within the human brain have been unable to produce a generalized…

Watershed of Artificial Intelligence: Human Intelligence, Machine Intelligence, and Biological Intelligence

2021-04-27 · Li Weigang, Liriam Enamoto, Denise Leyi Li, Geraldo Pereira Rocha Filho

This article reviews the "Once learning" mechanism that was proposed 23 years ago and the subsequent successes of "One-shot learning" in image classification and "You Only Look Once - YOLO" in objective detection. Analyz…

Dimensionality ReductionGeneral Classificationimage-classificationImage Classification+1

Formalization of the principles of brain Programming (Brain Principles Programming)

2022-05-13 · E. E. Vityaev, A. G. Kolonin, A. V. Kurpatov A. A. Molchanov

In the monograph "Strong artificial intelligence. On the Approaches to Superintelligence" contains an overview of general artificial intelligence (AGI). As an anthropomorphic research area, it includes Brain Principles P…

Brain Principles Programming

2022-02-13 · Evgenii Vityaev, Anton Kolonin, Andrey Kurpatov, Artem Molchanov

In the monograph, STRONG ARTIFICIAL INTELLIGENCE. On the Approaches to Superintelligence, published by Sberbank, provides a cross-disciplinary review of general artificial intelligence. As an anthropomorphic direction of…