The reactive-causal cognitive agent architecture

Ali Orhan Aydin, Mehmet Ali Orgun

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

6 Citations (Scopus)

Abstract

This study presents a general agent architecture to simulate human-like intelligence. The design philosophy behind the architecture is driven by a combination of Maslow's theories of needs and Dennett's intentional notion. Furthermore, to explain motives of intelligent agents, we adopt Alderfer's theory of needs which revises the ideas of Maslow. Intelligent agents are considered as entities driven by unsatisfied needs, and in order to satisfy those needs they act intentionally. Based on these ideas, we present a three-tiered cognitive agent architecture to mimic many aspects of human intelligence. The reactive layer enables an agent to continuously observe internal and external conditions and act accordingly. The deliberative layer provides the means for learning, planning, confict resolution with other agents, and dispatching tasks to the components in the reactive layer. The causal layer oversees the high-level decision-making and emotion generation processes.

Original languageEnglish
Title of host publicationAdvances in cognitive informatics and cognitive computing
EditorsYingxu Wang, Du Zhang, Witold Kinsner
Place of PublicationBerlin; New York
PublisherSpringer, Springer Nature
Pages71-103
Number of pages33
ISBN (Electronic)9783642160837
ISBN (Print)9783642160820
DOIs
Publication statusPublished - 2010

Publication series

NameStudies in Computational Intelligence
Volume323
ISSN (Print)1860949X

Fingerprint

Dive into the research topics of 'The reactive-causal cognitive agent architecture'. Together they form a unique fingerprint.

Cite this