Modern Artificial Intelligence seeks to understand intelligent behavior by finding its underlying principles. Inspiration is often drawn from the behavior of natural intelligent systems. As it is difficult to infer the internal mechanisms from observation only, often a synthetic approach, i.e. understanding by building, is chosen. The same also applies to collective behavior: Here, the overt group-level behavior emerges from the behavior at the individual level, which in turn depends on the internal mechanisms of the agents. The goal is to explain the (possibly) complex and typically adaptive behavior at the group- level by a small set of simple internal mechanisms at the individual level. Our intent here is to apply these concepts to schooling behavior in fish and to emphasize effects of embodiment and situatedness in the explanation of collective behavior.

Kunz and Hemelrijk (2007)
Very large schools and obstructed perception: an individual-based model
in preparation

Kunz, Züblin and Hemelrijk (2006)
On prey grouping and predator confusion in artificial fish schools
Artificial Life X, 365-371

Hemelrijk and Kunz (2005)
Density distribution and size sorting in fish schools: an individual-based model
Behavioral Ecology 16 (1): 178-187

Kunz and von Känel (2004)
The AI Lectures from Tokyo
Final Project Report. Chapter II: Report On Technology

Hemelrijk and Kunz (2003)
Introduction to special issue on collective effects of human behavior
Artificial Life 9(4):339-341

Kunz and Hemelrijk (2003)
Artificial fish schools: collective effects of school size, body size, and body form
Artificial Life 9 (3):237-53

Hafner, Kunz, Pfeifer (2002)
An Investigation into Obstacle Avoidance as an `Emergent' Behaviour from two Different Perspectives
Proceedings of the EPSRC/BBSRC International Workshop on Biologically-Inspired Robotics: The Legacy of W. Grey Walter, pages 166-173

Kunz and Achermann (2003)
Simulation of circadian rhythm generation in the suprachiasmatic nucleus with locally coupled self-sustained oscillators
Journal of Theoretical Biology 224:63-78

Achermann and Kunz (1999)
Modeling Circadian Rhythm Generation in the Suprachiasmatic Nucleus with Locally Couples Self-Sustained Oscillators: Phase Shifts and Phase Response Curves

Kunz (1996)
Modellierung des circadianen Systems
Diplomarbeit in Informatik geschrieben am Inst. f. Pharmakologie Universität Zürich

Kunz and Zimmermann (1996)
High Performance Adder Circuit Generators in Parameterized Structural VHDL
Technical Report No. 96/7, Integrated Systems Laboratory, ETH Zurich

Kunz and Zimmermann (1994)
Automata Theory: Complexity and State Encoding of Finite State Machines
Research Review 1994, Integrated Systems Laboratory, ETH Zurich