Emotion-based attention shift in autonomous agents

An affective modelfor attention shift is presented in this paper, which integrates the emotion and personality mechanism with cognitive system to manage attention resource, and shift attention.Emotional states are viewed as the agent's attention control modes. It can regulate attention parameters, which may result in interrupting the current cognitive process and shifting the attention. Personalities are set to determine the global performance of attention control and lay the basis to create different individual agent. We implemented and tested the proposed model in simulated situations. The simulation results indicate the effectiveness of the proposal, and the agent's behaviors exhibit different personality with the effective regulation ofemotion mechanism.

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“…Some researchers found a close relationship between emotion and attention shift [9]. In the work of L.M.…”

Section: Emotion-based Attention Controlmentioning

confidence: 99%

“…In the work of L.M. Botelho [9], emotion is enclosed in the same node as cognitive nodes. Each node has an activation value that can be spread among these nodes.…”

Section: Emotion-based Attention Controlmentioning

confidence: 99%

Construction of an Affective Model for Attention Shift: the KEPA Model

Jiang

Zhang

2006

2006 International Conference on Computational Intelligence and Security

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“…By adapting the idea of [6] for memory access, we can have an indicator of how much a value was referred to by other mental objects. A competition among values is cast, allowing the agent to have a relative idea of the importance of the various values.…”

Section: Enhancing the Choice Mechanismsmentioning

confidence: 99%

“…3b). Emotions also influence cognitive acquisition (for instance, through determining attention focus [6], and so through a decisionmediated process, see fig. 3b/a/c).…”

Section: Affective Reasoningmentioning

confidence: 99%

Redesigning the Agents’ Decision Machinery

Antunes

Coelho

2000

Affective Interactions

Self Cite

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Abstract. In a multi-agent system, agents must decide what to do and by what order. Autonomy is a key notion in such a system, since it is mainly the autonomy of the agents that makes the environment unpredictable and complex. From a user standpoint, autonomy is equally important as an ingredient that has to be used with parsimony: too much leads to agents fulfilling their own goals instead of those of the user, too little renders agents that are too dependent upon user commands and choices for their execution. Autonomy has a role in deciding which are the new goals of the agent, and it has another in choosing which of the agent's goals are going to be addressed next. We have proposed the BVG (Beliefs, Values, Goals) architecture with the idea of making decisions using multiple evaluations of a situation, taking the notion of value as central in the motivational mechanisms in the agent's mind. The agent will consider the several evaluations and decide in accordance with its goals in a rational fashion. In this paper we extend this architecture in three different directions: we consider the source of agent's goals, we enhance the decisional mechanisms to consider a wider range of situations, and we introduce emotion as a meta-level control mechanism of the decision processes.

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“…Further work on the "attention filter" ought to allow some contextual (or qualitative) filtering (similar to that used in [3]). For example, potential goals related to an agent's current deliberative context should need a lower filter threshold than unrelated goals.…”

Section: Making Decisions About Actions and Goalsmentioning

confidence: 99%

Reactive and motivational agents: Towards a collective minder

Davis

1997

Intelligent Agents III Agent Theories, Architectures, and Languages

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Abstract. This paper explores the design and implementation of a societal arrangement of reflexive and motivational agents which will act as the building blocks for a more abstract agent within which the current agents act as distributed dynamic processing nodes. We contest that reactive, deliberative and other behaviours are required in complete (intelligent) agents. We provide some architectural considerations on how these differing forms of behaviours can be cleanly integrated and relate that to a discussion on the nature of motivational states and the mechanisms used for making decisions.

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Emotion-based attention shift in autonomous agents

Cited by 10 publications

References 20 publications

Construction of an Affective Model for Attention Shift: the KEPA Model

Construction of an Affective Model for Attention Shift: the KEPA Model

Redesigning the Agents’ Decision Machinery

Reactive and motivational agents: Towards a collective minder

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