An architecture for rational agents

J. W. Lloyd; T. D. Sears

doi:10.1007/11691792_4

An architecture for rational agents

J. W. Lloyd^*, T. D. Sears

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

This paper is concerned with designing architectures for rational agents. In the proposed architecture, agents have belief bases that are theories in a multi-modal, higher-order logic. Belief bases can be modified by a belief acquisition algorithm that includes both symbolic, on-line learning and conventional knowledge base update as special cases. A method of partitioning the state space of the agent in two different ways leads to a Bayesian network and associated influence diagram for selecting actions. The resulting agent architecture exhibits a tight integration between logic, probability, and learning. Two illustrations of the agent architecture are provided, including a user agent that is able to personalise its behaviour according to the user's interests and preferences.

Original language	English
Title of host publication	Declarative Agent Languages and Technologies III
Subtitle of host publication	Third International Workshop, DALT 2005, Selected and Revised Papers
Pages	51-71
Number of pages	21
DOIs	https://doi.org/10.1007/11691792_4
Publication status	Published - 2006
Event	3rd International Workshop on Declarative Agent Languages and Technologies, DALT 2005 - Utrecht, Netherlands Duration: 25 Jul 2005 → 25 Jul 2005

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3904 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Workshop on Declarative Agent Languages and Technologies, DALT 2005
Country/Territory	Netherlands
City	Utrecht,
Period	25/07/05 → 25/07/05

Access to Document

10.1007/11691792_4

Cite this

Lloyd, J. W., & Sears, T. D. (2006). An architecture for rational agents. In Declarative Agent Languages and Technologies III: Third International Workshop, DALT 2005, Selected and Revised Papers (pp. 51-71). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3904 LNAI). https://doi.org/10.1007/11691792_4

@inproceedings{68b6b161240d4407bba3842aa7dd9955,

title = "An architecture for rational agents",

abstract = "This paper is concerned with designing architectures for rational agents. In the proposed architecture, agents have belief bases that are theories in a multi-modal, higher-order logic. Belief bases can be modified by a belief acquisition algorithm that includes both symbolic, on-line learning and conventional knowledge base update as special cases. A method of partitioning the state space of the agent in two different ways leads to a Bayesian network and associated influence diagram for selecting actions. The resulting agent architecture exhibits a tight integration between logic, probability, and learning. Two illustrations of the agent architecture are provided, including a user agent that is able to personalise its behaviour according to the user's interests and preferences.",

author = "Lloyd, {J. W.} and Sears, {T. D.}",

year = "2006",

doi = "10.1007/11691792_4",

language = "English",

isbn = "3540331069",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "51--71",

booktitle = "Declarative Agent Languages and Technologies III",

note = "3rd International Workshop on Declarative Agent Languages and Technologies, DALT 2005 ; Conference date: 25-07-2005 Through 25-07-2005",

}

Lloyd, JW & Sears, TD 2006, An architecture for rational agents. in Declarative Agent Languages and Technologies III: Third International Workshop, DALT 2005, Selected and Revised Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3904 LNAI, pp. 51-71, 3rd International Workshop on Declarative Agent Languages and Technologies, DALT 2005, Utrecht, Netherlands, 25/07/05. https://doi.org/10.1007/11691792_4

An architecture for rational agents. / Lloyd, J. W.; Sears, T. D.
Declarative Agent Languages and Technologies III: Third International Workshop, DALT 2005, Selected and Revised Papers. 2006. p. 51-71 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3904 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An architecture for rational agents

AU - Lloyd, J. W.

AU - Sears, T. D.

PY - 2006

Y1 - 2006

N2 - This paper is concerned with designing architectures for rational agents. In the proposed architecture, agents have belief bases that are theories in a multi-modal, higher-order logic. Belief bases can be modified by a belief acquisition algorithm that includes both symbolic, on-line learning and conventional knowledge base update as special cases. A method of partitioning the state space of the agent in two different ways leads to a Bayesian network and associated influence diagram for selecting actions. The resulting agent architecture exhibits a tight integration between logic, probability, and learning. Two illustrations of the agent architecture are provided, including a user agent that is able to personalise its behaviour according to the user's interests and preferences.

AB - This paper is concerned with designing architectures for rational agents. In the proposed architecture, agents have belief bases that are theories in a multi-modal, higher-order logic. Belief bases can be modified by a belief acquisition algorithm that includes both symbolic, on-line learning and conventional knowledge base update as special cases. A method of partitioning the state space of the agent in two different ways leads to a Bayesian network and associated influence diagram for selecting actions. The resulting agent architecture exhibits a tight integration between logic, probability, and learning. Two illustrations of the agent architecture are provided, including a user agent that is able to personalise its behaviour according to the user's interests and preferences.

UR - http://www.scopus.com/inward/record.url?scp=33745763915&partnerID=8YFLogxK

U2 - 10.1007/11691792_4

DO - 10.1007/11691792_4

M3 - Conference contribution

SN - 3540331069

SN - 9783540331063

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 51

EP - 71

BT - Declarative Agent Languages and Technologies III

T2 - 3rd International Workshop on Declarative Agent Languages and Technologies, DALT 2005

Y2 - 25 July 2005 through 25 July 2005

ER -

An architecture for rational agents

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this