Wiki
Plain-language definitions and evidence-aware entries for intelligence, transfer, cognitive training, measures and methods.
Explore the Wiki →Learn / Go deeper
Ideas for thinking and adapting
under changing conditions.
Explore intelligence, attention, learning, social and digital environments, decision-making, transfer, mutualism and the changing relationship between human cognition and technology.
The broad question is how people can preserve and develop adaptive agency as digital opportunities, demands and constraints change — including attention, judgement, learning, workable alternatives and control over when to persist or change course.
Choose a format
Short answer or deep dive?
The Learn library is deliberately mixed. Use the Wiki when you want a concept defined cleanly. Use the Blog when you want an argument, evidence review or worked example. Use Science for the current evidence architecture behind Synergy IQ.
Blog
Research summaries, method updates, applied cognition and practical ways to think more clearly in an AI-rich world.
Browse the Blog →Science
The current Synergy IQ position on transfer, mutualism, construct training, Capacity–Strategy–Niche and claims boundaries.
Read the Science page →Explore by question
What are you trying to understand?
The topics below reflect the current network intelligence direction rather than the older product hierarchy. They connect general intelligence theory, cognitive training, independent measurement, far transfer and real-world cognitive use.
Intelligence & adaptation
Psychometric g, Gf, Gc, mutualism, network neuroscience and why adaptive learning may become more valuable as environments change faster.
Attention & the digital environment
How search, feeds, notifications, social comparison and algorithmic recommendation can expand discovery while increasing competition for attention and goal control.
Possibility, decisions & commitment
Explore how people generate and compare alternatives under real constraints, how decision thresholds and evidence accumulation shape action, and when persistence, adaptation, renegotiation or disengagement may be appropriate.
Human cognition with technology
Situated cognition, cognitive offloading and human–AI reasoning: how AI can support comprehension, critical evaluation, decisions and strategic action without treating assisted output as retained human capability.
Reality, transfer & learning
Why a better plan is not the same as a changed reality, why transfer must be tested, and how action and prediction error can turn novelty into reusable structure.
A useful starting route
World → intelligence → transfer → a node.
Start with the wider adaptive-intelligence vision, see why general intelligence and transfer matter, then choose one Synergy IQ node and explore the scientific construct behind it. That sequence connects the changing environment to the training programme without requiring any purchase.
Carry three questions with you: What is the underlying relation? What would make this explanation wrong? What should still work when the example or context changes?
New research and notes
Keep following the experiment.
IQ Mindware is a developing research-led product family. Articles may document evolving ideas as well as established findings, so dates and evidence boundaries matter.