Perlovsky, L.I. (2001). Neural Networks and Intellect: using model-based concepts. Oxford University Press, New York, NY (3rd printing).

Mayorga, R., Perlovsky, L.I., Eds. (2007). Sapient Systems. Springer, London, UK.

Perlovsky, L.I., Kozma, R., Eds. (2007). Neurodynamics of Higher-Level Cognition and Consciousness. Springer-Verlag, Heidelberg, Germany.

Perlovsky, L.I. (2008). The Knowledge Instinct. Basic Books. New York, NY.


Perlovsky, L.I. (2007). Neural Dynamic Logic of Consciousness: the Knowledge Instinct. In Eds. L.I. Perlovsky, R. Kozma, Neurodynamics of High Cognitive Functions, Springer.

Perlovsky, L., Kozma, R. (2007). Editorial - Neurodynamics of Cognition and Consciousness. In Neurodynamics of Cognition and Consciousness, Perlovsky, L., Kozma, R. (eds), Springer Verlag, Heidelberg, Germany.

Perlovsky, L.I. (2007). Sapience, Consciousness, and The Knowledge Instinct (Prolegomena to a physical theory). In Eds. R. Mayorga, L.I. Perlovsky, Sapient Systems, Springer.

Perlovsky, L.I. (2006). Modeling Field Theory of Higher Cognitive Functions. Chapter in A. Loula, R. Gudwin, J. Queiroz, Eds., Artificial Cognition Systems. Idea Group, Hershey, PA, pp.64-105.

Perlovsky, L.I. (2006). Neural Networks, Fuzzy Models and Dynamic Logic. Chapter in R. Köhler and A. Mehler, Eds., Aspects of Automatic Text Analysis (Festschrift in Honor of Burghard Rieger), Springer, Germany, pp.363-386.

Perlovsky, L.I. (2006). Symbols: Integrated Cognition and Language. Chapter in R. Gudwin, J. Queiroz, Eds. Semiotics and Intelligent Systems Development. Idea Group, Hershey, PA, pp.121-151.

Perlovsky, L.I. (2005). Evolving Agents: Communication and Cognition. Chapter in Autonomous Intelligent Systems: Agents and Data Mining, Eds:  V. Gorodetsky, J. Liu, V.A. Skormin. Springer-Verlag GmbH, pp.37-49.

Perlovsky, L.I., Webb, V.H., Bradley, S.A., Hansen, C.A (1998). Improved ROTHR Detection and Tracking using MLANS. Chapter in Probabilistic Multi-Hypothesis Tracking, Ed. R.L. Streit, NUWC Press, Newport, RI, pp.245-254.

Perlovsky, L.I. (1998). Cramer-Rao Bound for Tracking in Clutter. Chapter in Probabilistic Multi-Hypothesis Tracking, Ed: R.L. Streit, NUWC Press, Newport, RI.


Perlovsky, L.I. (2005). Computational Intelligence: Natural Information Processing. Expert Now IEEE (former XELL, multi media corporate tutorial series).