A temporal-interactivist perspective on the dynamics of mental states

Jonker, Catholijn M.; Treur, Jan

doi:10.1016/s1389-0417(02)00103-1

Cited by 41 publications

(40 citation statements)

References 21 publications

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“…This basic model is based on the experienced-based trust model described in [14], and applied in [23,24,26]. In an agent's received experience, experiences are taken to be of two forms: direct experiences, for example, by observation, and indirect experiences obtained from communication.…”

Section: Modelling Trust Dynamics From Two Perspectivesmentioning

confidence: 99%

Agent-Based and Population-Based Modeling of Trust Dynamics

Jaffry

Treur

2013

Lecture Notes in Computer Science

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Trust is usually viewed at an individual level in the sense of an agent having trust in a certain trustee. It can also be considered at a population level, in the sense of how much trust for a certain trustee exists in a given population or group of agents. The dynamics of trust states over time can be modelled per individual in an agent-based manner. These individual trust states can be aggregated to obtain the trust state of the population. However, in an alternative way trust dynamics can be modelled from a population perspective as well. Such a population-level model is much more efficient computationally. In this paper both ways of modelling are investigated and it is analyzed how close they can approximate each other. This is done both by simulation experiments and by mathematical analysis. It is shown that the approximation can be reasonably accurate, and for larger numbers of agents even quite accurate.

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Section: Modelling Trust Dynamics From Two Perspectivesmentioning

confidence: 99%

Agent-Based and Population-Based Modeling of Trust Dynamics

Jaffry

Treur

2013

Lecture Notes in Computer Science

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“…Representation properties express how an internal state relates to external states (or input and/or output states) in past (backward) or future times (forward); e.g., [8], [44], [15], [16], [39]. For example, when a sensory neuron has a high activation level when a stimulus occurred (or has been sensed) before, this is a backward representation relation for this neuron.…”

Section: ∀T P X1 X2 X3 [ [ State(γ T) |= Communication(id Agreementioning

confidence: 99%

A Three-Dimensional Abstraction Framework to Compare Multi-Agent System Models

Bosse

Hoogendoorn

Klein

et al. 2010

Computational Collective Intelligence. Technologies and Applications

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Models of agents or multiagent systems in a certain application area can be made at different levels of abstraction. The aim of this paper is to clarify different dimensions of abstraction. The three dimensions of considered are: the process abstraction dimension, the temporal dimension, and the agent cluster dimension. Thus a three-dimensional framework is obtained in which different types of multi-agent system models can be classified. For a number of multiagent system models in different application areas from the literature it is discussed how they fit in the framework.

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“…In the cognitive area, much literature can be found on the notion of representational content of a mental state property of a certain agent; see, for example, Kim (1996), Bickhard (1993), Jonker and Treur (2003). One of the approaches described within the Philosophy of Mind literature, is the relational specification approach to representational content for internal (mental) agent states; cf.…”

Section: Temporal Factorisation and Relational Specificationmentioning

confidence: 99%

“…In Section 6.2, it is shown how temporal factorisation can be related to the temporalinteractivist approach to mental states (cf. Bickhard, 1993, 2000, and Jonker and Treur, 2003. In Section 6.3 it is discussed how temporal factorisation relates to the Dynamical Systems Theory approach to cognition.…”

Section: Temporal Factorisation and Mental Statesmentioning

confidence: 99%

“…Moreover, it is also shown how the temporal-interactivist approach to cognition (cf. Bickhard, 1993;Jonker and Treur, 2003), relates to the temporal factorisation principle. In addition, it is shown how the Dynamical Systems Theory (DST), (e.g., Port and Gelder, 1995;Kelso, 1995) relates to the principle of temporal factorisation as a basic assumption.…”

Section: Introductionmentioning

confidence: 99%

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