Reinforcement learning (RL) is an attractive machine learning discipline in the context of Artificial General Intelligence (AGI). This paper focuses on the intersection between RL and AGI by first speculating on what are the missing components that would facilitate the realization of RL-based AGI. Based on this paradigm, we touch on several of the key moral and practical issues that will inevit...

In this paper, we consider an interesting issue related to artificial intelligence, namely artificial morality – i.e. can we perform ethical reasoning by computers? We introduce how to apply Bayesian networks, Dempster-Shafer theory and Assumption-based Truth Maintenance Systems for moral reasoning.

Suspected deficiency of temperament, which provides by far the more perplexing problems, we may perhaps consider first. It is here that the psychographic scheme need's to be followed with great thoroughness and to be filled in with greatest detail. With these cases the question as to degree of deficiency resolves itself into two issues: how unstable is the patient, and what amount of instabilit...

Ambient Intelligence Systems are complex, knowledge providing systems. The group of intended users typically comprises both various kinds of professionals and of laymen. In this chapter we address responsibility issues associated with the use and design of AmISs. We explain the connection between knowledge and responsibility, and use that connection to show that the usage of Ambient Intelligenc...

Asmachines become capable ofmore autonomous and intelligent behavior, will they also display more morally desirable behavior? Earth’s history tends to suggest that increasing intelligence, knowledge, and rationality will result in more cooperative and benevolent behavior. Animals with sophisticated nervous systems track and punish exploitative behavior, while rewarding cooperation. Humans form ...

The attempt to establish the conditions of moral behavior for artificial intelligence (AI) leads idea that morality is pursuit a good transcends any given experience. ability believe in such and relate it makes possible AI be moral. This claim based on two observations. very presupposes impossible set rules or principles could not rethink, modify, ignore. We can already see how disregard arises...

Abstract Who is responsible for the events and consequences caused by using artificially intelligent tools, there a gap between what human agents can be being done artificial intelligence? Both questions presuppose that term ‘responsibility’ good tool analysing moral issues surrounding intelligence. This article will draw this presupposition into doubt show how reference to responsibility obscu...