Alan K. Mackworth's Publications

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Agents, Bodies, Constraints, Dynamics, and Evolution

Alan K. Mackworth. Agents, Bodies, Constraints, Dynamics, and Evolution. AI Magazine, 26(30):7–28, Spring 2009.

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Abstract

it was a great pleasure to serve as president of the Association for the Advancement of Artificial Intelligence (AAAI). I think that everyone who serves begins with great trepidation but leaves with a sense of satisfaction. I certainly did. One of the sources of satisfaction was the opportunity to give the presidential address at AAAI-07 in Vancouver, my hometown. This article is based on that talk. That opportunity allowed me to step back and think of the big picture, the long perspective. The way to read the title, “Agents, Bodies, Constraints, Dynamics, and Evolution,” as it is intended to be read, is to say that the article is about agents with bodies subject to constraints on their dynamics as they undergo evolution. Thus, I am telling you a story. It is a story that does not, I hope, tell any lies by omission or commission. It is idiosyncratic, that being the nature of narrative, to make it fit what I want to say as I make sense of that big picture. I hardly need add that this is a highly personal and telegraphic view of the topics I discuss. In a sense, it is a cartoon. The theme of this article, then, is the dynamics of evolution. I shall apply that theme to five different topics: to the evolution of the idea of constraint satisfaction, to agents themselves as they evolve, to our own models of agents and how they have changed over time, to the eld of AI, and, finally, I shall apply it to AAAI, the organization. Thus, can imagine each of these concepts, including the field of AI and AI, as agents acting in an environment. An agent in an active environment anges that environment and, in turn, is changed by that vironment as each evolves in time. To tie it all together, I do have a esis, and it will not surprise too many of you, perhaps, when I say at the thesis is constraint satisfaction is central to intelligent behavior.

BibTeX

@article{MackworthAI09,
  author =	 {Alan K. Mackworth},
  title =	 {Agents, Bodies, Constraints, Dynamics, and Evolution},
  year =	 {2009}, 
  month= {Spring}
  volume={26},
  number={30},
  pages={7-28},
  journal={AI Magazine},
  abstract={it was a great pleasure to serve as president of the Association for the Advancement of Artificial Intelligence (AAAI). I think that everyone
		who serves begins with great trepidation but leaves with a sense of satisfaction. I certainly did. One of the sources of satisfaction was
		the opportunity to give the presidential address at AAAI-07 in Vancouver, my hometown. This article is based on that talk. That opportunity
		allowed me to step back and think of the big picture, the long
		perspective. The way to read the title, “Agents, Bodies, Constraints,
		Dynamics, and Evolution,” as it is intended to be read, is to say that
		the article is about agents with bodies subject to constraints on their
		dynamics as they undergo evolution. Thus, I am telling you a story. It is
		a story that does not, I hope, tell any lies by omission or commission.
		It is idiosyncratic, that being the nature of narrative, to make it fit
		what I want to say as I make sense of that big picture. I hardly need
		add that this is a highly personal and telegraphic view of the topics I
		discuss. In a sense, it is a cartoon.
		The theme of this article, then, is the dynamics of evolution. I shall
		apply that theme to five different topics: to the evolution of the idea
		of constraint satisfaction, to agents themselves as they evolve, to our
		own models of agents and how they have changed over time, to the
		eld of AI, and, finally, I shall apply it to AAAI, the organization. Thus,
		 can imagine each of these concepts, including the field of AI and
		AI, as agents acting in an environment. An agent in an active environment
		anges that environment and, in turn, is changed by that
		vironment as each evolves in time. To tie it all together, I do have a
		esis, and it will not surprise too many of you, perhaps, when I say
		at the thesis is constraint satisfaction is central to intelligent behavior.
},
  bib2html_pubtype ={Magazine Article},
  bib2html_rescat ={},
}

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