Ledelse og Erhvervsøkonomi/Handelsvidenskabeligt Tidsskrift/Erhvervsøkonomisk Tidsskrift, Bind 26 (1962) 1A definitial note on cooperation, conflict, and competitionRussell L. Ackoff * There are probably no concepts which currently occupy the reflective man as much as cooperation, conflict, and competition. Nevertheless the vast literature on these concepts is almost devoid of precise definitions. For example, more often than not "conflict" and "competition" are used interchangably. Furthermore, little attention has been given to measuring these relations. This note is directed toward reducing these deficiencies. The definitions to be developed are based on the concept of the purposeful state of a decision maker (individual or group). I have used the "purposeful state" in other places as a basis for defining (1) communication and related concepts1, and (2) best decisions in the context of decision theory2. It is not surprising that communication theory, decision theory, and a theory of cooperation-conflict can be built on a common conceptual foundation. The definition of
a purposeful state itself requires use of the following
/ = an individual
or group whose behavior is observable. N = the
individual's environment. d(1 i m) =
the courses of action available to the individual,
* Director, Operations Research Group, Case Institute of Technology, Cleveland, Ohio. Side 313
Oj (1 ;' n) =
the possible outcomes of the courses of action,
P; = P
(Ci\l,N) = the probability that / will select & in
N. Eij =
P(Oj\&,I,N) = the probability that Oj will occur if
/ selects Fj = the relative
value of Oj to / in N. An individual (or
group) can be said to be in a purposeful state if the
(1) There are at
least two courses of action, Ci and Cz, for which (2) There is at least
one outcome, Oi, for which V\ > 0 for f. (3) Relative to
at least one outcome, Oj, for which Vj > 0, Eij >
0, In ordinary
English these conditions state that f is in a purposeful
The expected
value of a purposeful state (S), then, is if the Vj's are
independent. If they not, the O/s can be combined by a
If 2 Vj = a (a is
usually equal to 1.0), then since 2 P{ = 1.0
and 2 En = 1.0. Side 314
The concepts
cooperation, conflict, and competition, involve
interactions EVi (S\h) = The
expected value of S to h if h is present in JV.
EVi (S\h') = The
expected value of S to h if h is not present in N.
The degree of
cooperation of h with h (DC2I) can now be defined as
and the degree of
cooperation of h with h as These quantities measure the difference in the expected value of the state to one party with and without the other party present. DC2I and DCI2 are not necessarily equal, a fact that I shall use below. If max EV (S) = a, the degree of cooperation also has a maximum value of a. Its minimum value is —a. Negative values of the degree of cooperation represent degrees of conflict. If this measure is equal to zero, say DC2I — 0, this means the value of the state to h is independent of h. Now let us consider the significance of DCn + DC2I. Tris means that one of the parties is exploiting the other. If DCI 2 > D2l, then h is exploiting h, if DC2I < D2l, then h is exploiting h. The degree to which f1 exploits h is If this negative,
then f1 is being exploited by h. It is apparent that
If DCI2 and DCI2 are both positive quantities, but unequal, then the exploitation is called benevolent, since both parties benefit, though unequally. If DCI2 and DC2I are both negative quantities, but unequal, then the exploitation is called malevolent, since both parties suffer. If one is positive and the other is negative we have what I suppose might be called normal exploitation. If the minimum
and maximum of the degree of cooperation are —a Now where does competition come in? The most useful suggestion I have found in the literature is that competition is conflict in accordance with rules; that is, regulated conflict3. On this basis, for example, we can distinguish between a prize fight (as competition) from a street brawl Side 315
(as conflict). What function do the rules have? Clearly, they must be intended to constrain the conflict to a type which serves some purpose. This suggests that competition involves both conflict and cooperation, but how? Consider three individuals or groups - h, h, and Is - of whom two - 7i and h - are in conflict with each other. Now if this state of conflict increases f3's expected value of his state, then h and h are competing relative to h. h and h may be "competing" business firms and h their consumers; or h and h may be two prize fighters and h the audience. Rules or laws control such conflicts to assure their service to the "third" party. But clearly two people on a tennis court or on opposite sides of a chess board can compete without an audience. They can, but to see how they can we must look inside their states. Suppose 7i and h are in conflict with respect to two objectives (Oi = 7i wins, and O2 = h wins). Suppose further that both 7i and h pursue a third obpective (O3 = recreation) which is efficiently served by the conflict relative to O\ and 02. Then h and h can be said to be competing intensively. Competition with respect to a "third" party is extensive. Of course, f1 and h may be competing both intensively and extensively. This concept of competition cannot be represented by a single measure. The degree of competition between f1 and h clearly depends on DCn and DC2I and would increase as these terms decrease (since negative values represent conflict), and hence as their sum decreases. It also depends on how "even" the conflict is, that is, the competition would be more "intense" as the difference between DCI2 and DC2I decreases, and, hence, as the degree of exploitation decreases. Finally it also depends on how efficiently the conflict serves the "third" party or objective; that is, on the degree of cooperation with respect to this party or objective. I can see no way at present of conveniently combining these considerations into a single measure. REFERENCES:'■ Russell L.
Ackoff: Towards a Behavioral Theory of Communication.
Management 2. Russell L.
Ackoff: Scientific Method: Optimizing Applied Research
Decisions. John 3- Daniel Katz
and R. L. Schanck: Social Psychology. John Wiley &
Sons, New York. |