AMIA: A knowledge representation model for computational autobiographic agents

W.C. Ho; S. Watson; K. Dautenhahn

doi:10.1109/DEVLRN.2007.4354039

AMIA: A knowledge representation model for computational autobiographic agents

W.C. Ho, S. Watson, K. Dautenhahn

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

4 Citations (Scopus)

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Abstract

This paper describes a hierarchical design for knowledge representation in computational autobiographic memory. This model is named AMIA (Autobiographic Memory for Intelligent Agents). Inspired by research in human autobiographic memory from the areas of Psychology and Cognitive Science, the self memory system (SMS) is modelled as 1) the general knowledge structure of agents’ significant events and 2) the unique “self” that SMS creates for an individual agent. We first carry out a concentrated review of autobiographic memory, emotion and event, and how they relate to each other. For AMIA, we start with an overview for different levels of the overall organisation and interactions between levels. We then focus on the design at the bottom level of AMIA – Action and Event levels. We also discuss the role of general event representations (GERs) which create knowledge representations for routine and highly expected events to be understood by autonomous agents, in conjunction with support from the autobiographic knowledge base in the reconstruction process of autobiographic events. Finally, we discuss the possible agent implementations for future research directions.

Original language	English
Title of host publication	In: Procs of IEEE 6th Int Conf on Development and Learning 2007 (ICDL 2007)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	247-252
ISBN (Print)	978-1-4244-1116-0
DOIs	https://doi.org/10.1109/DEVLRN.2007.4354039
Publication status	Published - 2007

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title = "AMIA: A knowledge representation model for computational autobiographic agents",

abstract = "This paper describes a hierarchical design for knowledge representation in computational autobiographic memory. This model is named AMIA (Autobiographic Memory for Intelligent Agents). Inspired by research in human autobiographic memory from the areas of Psychology and Cognitive Science, the self memory system (SMS) is modelled as 1) the general knowledge structure of agents{\textquoteright} significant events and 2) the unique “self” that SMS creates for an individual agent. We first carry out a concentrated review of autobiographic memory, emotion and event, and how they relate to each other. For AMIA, we start with an overview for different levels of the overall organisation and interactions between levels. We then focus on the design at the bottom level of AMIA – Action and Event levels. We also discuss the role of general event representations (GERs) which create knowledge representations for routine and highly expected events to be understood by autonomous agents, in conjunction with support from the autobiographic knowledge base in the reconstruction process of autobiographic events. Finally, we discuss the possible agent implementations for future research directions.",

author = "W.C. Ho and S. Watson and K. Dautenhahn",

note = "This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.---- Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. DOI : 10.1109/DEVLRN.2007.4354039",

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AU - Watson, S.

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N1 - This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.---- Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. DOI : 10.1109/DEVLRN.2007.4354039

PY - 2007

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N2 - This paper describes a hierarchical design for knowledge representation in computational autobiographic memory. This model is named AMIA (Autobiographic Memory for Intelligent Agents). Inspired by research in human autobiographic memory from the areas of Psychology and Cognitive Science, the self memory system (SMS) is modelled as 1) the general knowledge structure of agents’ significant events and 2) the unique “self” that SMS creates for an individual agent. We first carry out a concentrated review of autobiographic memory, emotion and event, and how they relate to each other. For AMIA, we start with an overview for different levels of the overall organisation and interactions between levels. We then focus on the design at the bottom level of AMIA – Action and Event levels. We also discuss the role of general event representations (GERs) which create knowledge representations for routine and highly expected events to be understood by autonomous agents, in conjunction with support from the autobiographic knowledge base in the reconstruction process of autobiographic events. Finally, we discuss the possible agent implementations for future research directions.

AB - This paper describes a hierarchical design for knowledge representation in computational autobiographic memory. This model is named AMIA (Autobiographic Memory for Intelligent Agents). Inspired by research in human autobiographic memory from the areas of Psychology and Cognitive Science, the self memory system (SMS) is modelled as 1) the general knowledge structure of agents’ significant events and 2) the unique “self” that SMS creates for an individual agent. We first carry out a concentrated review of autobiographic memory, emotion and event, and how they relate to each other. For AMIA, we start with an overview for different levels of the overall organisation and interactions between levels. We then focus on the design at the bottom level of AMIA – Action and Event levels. We also discuss the role of general event representations (GERs) which create knowledge representations for routine and highly expected events to be understood by autonomous agents, in conjunction with support from the autobiographic knowledge base in the reconstruction process of autobiographic events. Finally, we discuss the possible agent implementations for future research directions.

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DO - 10.1109/DEVLRN.2007.4354039

M3 - Conference contribution

SN - 978-1-4244-1116-0

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BT - In: Procs of IEEE 6th Int Conf on Development and Learning 2007 (ICDL 2007)

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

AMIA: A knowledge representation model for computational autobiographic agents

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