Joscha Bach

Humboldt-Universität zu Berlin

Papers

4

Total Citations

54

H-Index

4

About

Joscha Bach is a cognitive scientist and AI researcher whose work bridges artificial general intelligence (AGI), cognitive architectures, and computational models of motivation and emotion. His key research areas include the design of integrative cognitive architectures, the emergence of affect in intelligent agents, and the use of mental models for robot control. Bach’s major contributions center on the MicroPsi framework, a holistic architecture for human-like general intelligence that models motivation, emotion, and goal-driven behavior. His most-cited paper, “Modeling Motivation and the Emergence of Affect in a Cognitive Agent” (22 citations), proposes an integrative diagram for AGI by merging existing architectures with a focus on affective states. The follow-up “MicroPsi 2” (15 citations) advances this framework for more robust cognitive modeling. Earlier work on case-based reasoning for behavior prediction (10 citations) and mental models for robot control (7 citations) laid foundational ideas for autonomous systems. Though his citation counts are modest, Bach’s influence extends through his theoretical depth and public engagement, including his role as a research associate at the MIT Media Lab and his popular talks on consciousness and AI. His work offers a compelling vision for building machines that think and feel like humans.

Research Focus

Key Achievements

4
H-Index
4
Papers
54
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Modeling Motivation and the Emergence of Affect in a Cognitive Agent
22 citations · 2012
📈 Most Prolific Year: 2012 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Humboldt-Universität zu Berlin

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago