Year: 2016
Type: article
Abstract: This paper proposes an integrated classification of cognitive agent types (presumptions) relating to formal theories modeling rational behaviour, including reasoning. The classification specifies and systematizes various approaches to the idea of agent diversity. These approaches are implicitly or explicitly present in logical formalisms used to analyze agents’ knowledge and beliefs, their intellectual abilities and the strategies they apply for rational justification of their actions. This classification might serve as a conceptual ground to solve the problem of agent diversity in logical systems. The classification of the agent types contains three general classes of logical parameters, i. e. competences that might vary with different agents: epistemic, goal-oriented, and deductive. According to our hypothesis, epistemic and goal-oriented parameters function as a superstructure built over the interpretation of deductive parameters of the rational agent’s behaviour. Key words: logical competences, cognitive presumptions, diversity of agents, practical reasoning, epistemic logic.
Authors: Елена Николаевна Лисанюк, A. M. Pavlova
Institution: St Petersburg University
Language: Russian
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2572982970