Titlebook: Mental Models and Their Dynamics, Adaptation, and Control; A Self-Modeling Netw Jan Treur,Laila Van Ments Book 2022 The Editor(s) (if appli

不斷的變動(dòng)

Dynamics, Adaptation and Control for Mental Models: A Cognitive Architecturedimensions obtaining four categories of mental models: static-dynamic and world-mental, where static refers to mental models for static world states or for static mental states and dynamic refers to mental models for world processes or for mental processes. In addition, distinctions are made for wha

LANCE

Bringing Networks to the Next Level: Self-modeling Networks for Adaptivity and Control of Mental Mod, which easily leads to less declarative and transparent forms of modeling by using algorithmic or procedural descriptions for the adaptation processes. This chapter addresses this by exploiting the notion of self-modeling network that has been developed recently. Using that, adaptivity is obtained

sigmoid-colon

Patrimony

Controlling Your Mental Models: Using Metacognition to Control Use and Adaptation for Multiple Mentae mental network becomes itself adaptive as well: second-order adaptation. In this chapter, a second-order adaptive mental network model is introduced for metacognitive regulation of learning processes. The focus is on the role of multiple internal mental models, in particular, the case of visualisa

RECUR

Disturbed by Flashbacks: A Controlled Adaptive Network Model Addressing Mental Models for Flashbacksel covers simulation of the formation of a mental model of a traumatic course of events and its emotional responses that make replay of flashback movies happen. Secondly, it addresses learning processes of how a stimulus can become a trigger to activate this acquired mental model. Furthermore, the i

慢慢啃

‘What if I Would Have Done Otherwise…’: A Controlled Adaptive Network Model for Mental Models in Couducted in identifying processes, neural correlates and theories related to counterfactual thinking from different disciplines. A familiar scenario with respect to counterfactual thinking was identified. Based on the literature, an adaptive self-modeling network model was designed. This model capture

不連貫

Do You Get Me: Controlled Adaptive Mental Models for Analysis and Support Processesand support processes are modeled by internal mental models. At the base level, the model is able to perform the analysis and support processes based on these internal mental models. To obtain adaptation of these internal mental models, a first-order self-model is included in the network model. In a

確保

Who Am I Really: An Adaptive Network Model Addressing Mental Models for Self-referencing, Self-aware and in particular the mental (self-)models they have about themselves. The architecture does not only cover base level mental processes but also mental processes involving self-referencing, self-awareness and self-interpretation. To this end, the cognitive architecture was designed according to fou

Serenity

In Control of Your Instructor: Modeling Learner-Controlled Mental Model Learningork. The learning process for such a mental model conceptualised as a mental network, is a form of (first-order) mental network adaptation. Such learning often integrates learning by observation and learning by instruction. For an effective learning process, an appropriate timing of these different

Agility

Work Together or Fight Together: Modeling Adaptive Cooperative and Competitive Metaphors as Mental Mg network model is introduced based on mechanisms known from cognitive and social neuroscience and cognitive metaphor and mental model literature. The cognitive metaphors were modeled as specific forms of mental models providing a form of modulation within the joint decision making process. The mode