A Biologically Inspired Autonomous Robot Control Based on Behavioural Coordination in Evolutionary Robotics - Advancing Artificial Intelligence Through Biological Process Applications - page 129

Nolfi, S. (1997). Using emergent modularity to
develop control systems for mobile robots . Adap-
tive Behaviour (5) 3-4: 343-364.

Timmis, J., Knight, T., de Castro, L., & Hart,
E. (2004). An overview of artificial immune
systems . In Paton et al., editors, Computation
in Cells and Tissues: Perspective and Tools for
Thought. Natural Computation Series, pp. 51-86.
Ed. Springer.

Nolfi, S. & Floreano, D. (2000). Evolutionary
Robotics: The Biology, Intelligence, and Tech-
nology of Self-Organizing Machines . MA: MIT
Press/Bradford Books. Ref.: Phototaxis: pp. 121-
152; Obstacle avoidance/Navigation: pp. 69-92;
Learning: pp.153-188.

Togelius, J. (2003). Evolution of the Layers in
a Subsumption Architecture Robot Controller .
Master of Science in Evolutionary and Adaptive
Systems. University of Sussex, UK.

Nolfi S. (2006). Behaviour as a complex adaptive
system: On the role of self-organization in the
development of individual and collective behav-
iour . Unpublished yet, internal communication
with author.

Togelius, J. (2004). Evolution of a Subsumption
Architecture Neurocontroller. Journal of Intel-
ligent & Fuzzy Systems , 15:1, pp. 15-21.

Urzelai, J. & Floreano, D. (1999). Incremental
Evolution with Minimal Resources . Proceedings
of IKW99. 796-803. Computation. Nature, Vol.
431. 1991.

Panait, L. & Luke, S. (2005). Cooperative Multi-
Agent Learning: The State of the Art. Autonomous
Agents and Multi-Agent Systems . 11(3) : 387-434.
Springer 2005.

Vargas, P., de Castro, L., Michelan, R., & Von
Zuben, F. (2003). Implementation of an immuno-
genetic network on a real Khepera II robot . 2003
IEEE Congress on Evolutionary Computation,
Volume 1, 8-12 Dec. 2003, pp. 420 - 426.

Roitt, I. (1997). Essential Immunology. Ninth
Edition. Pub. Blackwell Science .

Seth, A.K. & Edelman, G. (2004). M. Theoreti-
cal neuroanatomy: Analyzing the structure and
dynamics of networks in the brain. Complex
Networks . E. Ben-Naim, H. Fraunfelder, & Z.
Toroczkai (eds). p. 487-518, Springer-Verlag,
Berlin. 2004.

Warren, C. (1999). A technique for autonomous
underwater vehicle route planning. IEEE J. Oce-
anic Engineering , Vol. 15, 1990, pp. 199-204.

Whitbrook, A. (2005). An idiotypic immune
network for mobile robot control . Msc Thesis,
University of Nottingham.

Tay, J. & Jhavar, A. (2005). CAFISS: A complex
adaptive framework for immune system simula-
tion. 2005 ACM Symposium on Applied Computing
(SAC'05) , pp. 158-164.

Yoerger, D., Bradley, A., Walden, B., Singh, H.,
& Bachmayer, R. (1996). Surveying a subsea
lava flow using the autonomous bentic explorer
(ABE). Proc. 6th Int. Advanced Robotics Program,
1996, pp. 1-21.

Téllez, R. & Angulo, C. (2004). Evolving co-
operation of simple agents for the control of an
autonomous robot. Proceedings of the 5th IFAC
Symposium on Intelligent Autonomous Vehicles
(IAV04) , Lisbon, Portugal.

ADDITIONAL READING

Tena Ruiz, I., Petillot, Y., & Lane, D. (2003).
Improved AUV navigation using side-scan sonar,
Proceedings of IEEE OCEANS 2003 , 3, 22-26
Sept. 2003, pp. 1261 - 1268.

Several publications on topics discussed in this
chapter can be proposed to be consulted at your
leisure. A list of references on these topics is given
as follows. Evolutionary Robotics: (Nolfi & Flo-