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Plan. Introducing the SINTELNET white paper The background: agent-based models, social simulations, logical analysis, and mirror-neuron system... Where do wide cognition explanations excel?. SINTELNET. - PowerPoint PPT PresentationTRANSCRIPT
PlanIntroducing the SINTELNET white paperThe background: agent-based models, social
simulations, logical analysis, and mirror-neuron system...
Where do wide cognition explanations excel?
SINTELNETThe aim of the network is to understand the
radically new forms of Information Technology-enabled social environmentsby critically examining the basic concepts used to
described them,and to propose new approaches to understand future IT-
enabled social situations.
SINTELNETThe manifesto of the network is Cristiano
Castelfranchi’s position paper “Minds as social institutions” (Phenomenology & Cognitive Science 2013)social interactions as requiring mind reading and mental
content ascription“Our social minds for social interactions are coordination
artifacts and social institutions.”I proposed to review what new approaches in
cognitive science have to say about social phenomena such as this.
SINTELNETStructure of the white paper:
Introduce five different approaches, jointly dubbed ‘wide cognition’:• extended,• embodied,• enacted,• situated,• and distributed cognition.
Describe case studies that give more insight than agent-based modeling into social intelligence • (in particular, but not limited to, in IT-enabled contexts).
The backgroundSome relevant research for SINTELNET is based
on agent-based models, various social simulations, game-theoretic things, and mirror neuron speculations...
But there are interesting wide approaches as well...
Game-theoretic models and mirror-neurons
With mirror-neuron speculations, it’s obvious that they are usually empirically underdeterminedBut neural basis of sociality does not screen off the wide
cognition models.Game-theoretic explanations are usually heavily
idealized but might screen off wide cognition.More details is not always better. If we only understand
why a game-theoretic model applies, it may be treated as an abstract mechanistic model.
Why not agent-based models?ABMs are ‘computational method
that enables a researcher to create, analyze, and experiment with models composed of agents that interact within an environment’The models are not just equation-
based but mimic agentsArtificial societies, non-linear
interactionsNot explanatory in themselves but
help run virtual experiments
Challenge!Is there anything that these virtual models cannot
cover?If not: Do they omit something essential for social
intelligence that wide cognition does account for?
Where, exactly, is wide cognition relevant?
Embodied joint actionMind-readingSocial memory and social knowledgeSocial emotionsSelfEmbodied semantics and distributed language
studiesPretence play, virtual identitiesCollective intentionalityNon-individual aspects of cultural background
Dangers
Duplication of effortSocial intelligence can be explained and modeled
in various approaches. There is a danger of duplicating effort.
IsolationEmpirical evidence in various theories may rather
constrain other theories rather than screen them off. We should strive for integration (via truth-constraints).
What next?I want to include selected case studies in the white
paper. We will discuss this on Friday.Dangers and challenges are important.Thank you!