Publication

A high-level architecture for believable social agents

Daniel Thalmann
2000
Journal Articles

Abstract

The creation or virtual humans capable of behaving and interacting realistically with each other requires the development of autonomous believable social agents. Standard goal-oriented approaches are not well suited to it because they don't take into account important characteristics identified by the social sciences. The paper tackles the issue of a general social reasoning mechanism, discussing its basic functional requirements using a sociological perspective, and proposing a high-level architecture based on roles, norms, values and types

Official source

https://infoscience.epfl.ch/entities/publication/4afa1a4e-b339-4f7e-9165-1009430183e3

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Daniel Thalmann
2000
Journal Articles

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/4afa1a4e-b339-4f7e-9165-1009430183e3

About this result

Related concepts (27)

Defeasible reasoning

In philosophy of logic, defeasible reasoning is a kind of provisional reasoning that is rationally compelling, though not deductively valid.cite web | url= | title="Defeasible Reasoning," Stanford Encyclopedia of Philosophy | access-date=1 July 2016 It usually occurs when a rule is given, but there may be specific exceptions to the rule, or subclasses that are subject to a different rule. Defeasibility is found in literatures that are concerned with argument and the process of argument, or heuristic reasoning.

Deductive reasoning

Deductive reasoning is the mental process of drawing deductive inferences. An inference is deductively valid if its conclusion follows logically from its premises, i.e. it is impossible for the premises to be true and the conclusion to be false. For example, the inference from the premises "all men are mortal" and "Socrates is a man" to the conclusion "Socrates is mortal" is deductively valid. An argument is sound if it is valid and all its premises are true.

Knowledge representation and reasoning

Knowledge representation and reasoning (KRR, KR&R, KR2) is the field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can use to solve complex tasks such as diagnosing a medical condition or having a dialog in a natural language. Knowledge representation incorporates findings from psychology about how humans solve problems and represent knowledge in order to design formalisms that will make complex systems easier to design and build.

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