Joscha Bach
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
Top Papers
- 1Modeling Motivation and the Emergence of Affect in a Cognitive Agent22 citations · 2012
- 2MicroPsi 2: The Next Generation of the MicroPsi Framework15 citations · 2012
- 3Recognizing and Predicting Agent Behavior with Case Based Reasoning10 citations · 2004
- 4Mental Models for Robot Control7 citations · 2002