Notes on Clark Chapter 4
("Collective Wisdom: Slime-Mold Style")
Econ 308: Agent-Based Computational Economics

Last Updated: 16 June 2006
Latest Course Offering: Spring 2006

Course Instructor:
Professor Leigh Tesfatsion
tesfatsi AT iastate.edu

Syllabus for Econ 308

Basic Reference:
Andy Clark, Being There: Putting Brain, Body, and World Together Again, MIT Press, Cambridge, MA, 1998 (paper), ISBN: 0-262-53156-9

Basic Concepts

Key Issues

1. Role of self-organization and emergence in human affairs?

(Clark, p. 73): "Collectives of humans, too, exhibit forms of emergent adaptive behavior. The biological brain, which parasitizes the external world... so as to augment its problem-solving capabilities, does not draw the line at inorganic extensions. Instead, the collective properties of groups of individual agents determine crucial aspects of our adaptive success."

2. Importance of distinction between direct and indirect emergence?

(Clark, p. 74): "The difference ... concerns the extent to which we may understand the emergence of a target phenomenon by focusing largely on the properties of the individual elements (direct emergence), versus the extent to which explaining the phenomenon requires attending to quite specific environmental details."

3. How does harmonization of brains, bodies, and worlds come about?

(Clark, Section 4.4, pp. 77-80): "...an important part of the answer is clearly `through evolution.'" Examples: Ship navigation team facing an unexpected challenge; Optimal placement of footpaths to connect a complex of already-constructed buildings.

4. What's wrong with "rational reconstruction"?

(Clark, Section 4.5, pp. 80-81): Clark argues that rational reconstruction can "mislead in several crucial ways," paraphrased as follows: (a) It can obscure opportunistic strategies that involve acting upon or otherwise exploiting the real world as an aid to problem solving; (b) it invites a view of cognition as passive computation in which the important role of epistemic action falls through the cracks; and (c) it obscures the role of history in constraining the space of biologically plausible solutions.

5. What challenges are posed by the "embodied active cognition" alternative to rational reconstruction?

(Clark, p. 82): "(T)he study of embodied active cognition clearly presents some major conceptual and methodological challenges.

6. How can we respond to these concerns?

(Clark, p. 83) "The key to integrating the facts about advanced cognition with the vision of embodied active cognition lies, I shall suggest, in better understanding the roles of two very special external props or scaffolds: language and culture."

Questions Arising from In-Class Discussion

1. Comparing and contrasting the termite and navigation cases as examples of indirect emergence

Kunal Daftari's Question: How are these examples similar? How are they different? Some dimensions along which comparisons can be made concern: (a) stationary vs. nonstationary environments; (b) degree of hierarchical structure (do the termites have a "captain"? what does being a captain of a ship mean in terms of control over ship activities?); (c) the "completeness" of the rules that govern the two systems (is every contingency covered?), which is closely related to the "soft assembly" versus "hard assembly" distinction made by Clark in previous chapters; and (d) the origin of the rules that govern the two systems (genetic vs. socially constructed).

2. Considering direct and indirect emergence for economic systems

Do properties of economic systems arise from "direct" emergence? "indirect" emergence? What do these concepts really mean for economic processes with self-aware agents? Do expressed "behaviors" and the "rules of the game" co-evolve together for economic systems? How much is truly plastic, and how much is determined by the constraints of "human nature"?

3. Time constraints

Jordan Swanson's Question: How do time constraints affect the way agents solve problems (e.g., the "optimal" choice of chess moves in a real-time game)? the way systems (e.g., a team of ship navigators) self-organize in the face of an unexpected danger?

4. A need for social science?

Jordan Swanson's Question: How much can be learned about ants from studying ONE ant? about people by studying INDIVIDUAL people in isolation from each other?

5. The baseball analogy

Jen Diaz's interesting use of a baseball team as an example of a mixed hard and soft-assembled system capable of self-organization within the constraints of a socially constructed rule set (which has been evolving over time).

6. Identical vs. Heterogeneous Agents

Andy Ruff's Interesting Question: How does self-organization differ when the underlying agents are IDENTICAL versus when they are intrinsically different or when they can learn to be different (e.g., through division of labor)?

7. "Edge of chaos" considerations?

In what kinds of environments do soft-assembled systems work best? hard-assembled systems? Do systems evolve from one form to the other over time by self-organization? by design? Can they move in either direction? Is there an "optimal" degree of soft-assemblage for a social system in terms of permitting change, growth, development, or "progress"?

Copyright © 2006 Leigh Tesfatsion. All Rights Reserved.