A Multi-level Model of Motivations and Valuations for Cognitive Agents

Samer Schaat, Klaus Doblhammer, Dietmar Dietrich

2014

Abstract

In developing cognitive agents using a functional model of the human mind as their decision unit, a model of motivations and valuations is needed as the basis for the agents’ decision making. This enables agents to cope with their internal and external world while pursuing their own agenda. We show that a technical model based on the psychoanalytical drive concept and Damasio’s neuro-biological findings is appropriate for human-inspired cognitive agents. In particular, after overcoming the hurdles of interdisciplinary work between hermeneutic and axiomatic approaches, a transformation of psychoanalytical and neuro-biological concepts into an consistent and deterministic model solves the problem of motivations and valuations in artificial cognitive agents. This multi-level model is presented, in which multiple principles and influences of valuation are used to incrementally generate and decide an agenda for the agent’s behavior.

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Paper Citation


in Harvard Style

Schaat S., Doblhammer K. and Dietrich D. (2014). A Multi-level Model of Motivations and Valuations for Cognitive Agents . In Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-016-1, pages 255-260. DOI: 10.5220/0004916502550260

in Bibtex Style

@conference{icaart14,
author={Samer Schaat and Klaus Doblhammer and Dietmar Dietrich},
title={A Multi-level Model of Motivations and Valuations for Cognitive Agents},
booktitle={Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2014},
pages={255-260},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004916502550260},
isbn={978-989-758-016-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - A Multi-level Model of Motivations and Valuations for Cognitive Agents
SN - 978-989-758-016-1
AU - Schaat S.
AU - Doblhammer K.
AU - Dietrich D.
PY - 2014
SP - 255
EP - 260
DO - 10.5220/0004916502550260