Article concerns the design of constructive narratives. Describes SoL (a hybrid architecture composed of Edmund and Ymir), a slightly modified form of BOD to support SoL, and our experiences developing AI for constructive narratives at LEGO. Draft version from 18 Dec. 2000.
Read MoreDiscusses the relationship between agent architectures and neuroscience, and proposes a model for an agent capable of developing its own behavior / skill modules as well as learning new patterns of behavior. Target audience is neuroscientists and computer scientists interested in expanding neural networks to exploit modularity and specialized learning. Updated 3 December 2000.
Read MoreSummary: This chapter is similar to the EMERNET one just above, but shorter (10 vs 15 pages) and focuses on my BOD systems rather than agent architectures in general. Targeted for psychologists and cognitive scientists who use neural networks to model human behavior. Updated 30 October 2000.
Read MoreTalks in detail about experimental method and the development of complex (even socially competent) agents. Updated July 2000.
Read MoreSummary: discusses the importance of methodology and the utility of alternative architectures — among other contributions, it distinguishes between these. Also gives a good one-page summary of what reactive planning really is. We suggest that the most useful thing to do with a new architecture is to identify its contributions and then express them in terms of one or more main-stream architectures. An extended example is made of an idiom we call a Basic Reactive Plan, taken from my architecture, Edmund, among other places. Updated 29 October 2000.
Read MoreThis is a synopsis of a panel discussion, with a fine two-page rant from me I still stand by. There’s a free version on Scott DeLoach’s publications page.
Read MoreSummary: demonstrates that hierarchy does not necessarily lead to a reduction of performance, even in highly dynamic environments. An illustration (with statistical evaluation) of the importance of clean design approaches to creating good AI systems. A shorter, less clear version of this paper appeared in Intelligent Virtual Agents 2, 1999. Final version; published in August 2000.
Read MoreFirst published description of BOD, uses dialog systems for the examples. Final from March 2000.
Read MoreSee further my AI and Society web page. Final from March 2000.
Read MoreSummary: article about trends in agent architectures and what they imply about optimal strategies for designing intelligence.
Read MoreThat is the 173-page 11-point 1.5-spaced PDF version, with a little source code my examiners asked for. There’s also a 94-page 10-point single-spaced compressed postscript version with no source code. Complete source code is available at the bottom of this page. Summary: gives evidence for the need for structured control from three sources: the history of AI agent architectures, my experiments in two domains (robotics and artificial life), and a review of the neurological / behavioral literature. Also discusses the dialect differences between Psychology and AI, and AI as a research tool for Psychology. Final corrections, January 2000.
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